Ecological Classrooms as Pedagogical Intervention: Impact on English Writing Anxiety and Writing Achievement in Chinese Senior High Schools*


Citation

Teng, X., & Teng, Q. (2026). Ecological Classrooms as Pedagogical Intervention: Impact on English Writing Anxiety and Writing Achievement in Chinese Senior High Schools. International Journal of Research, 13(4), 117–141. https://doi.org/10.26643/ijr/edupub/16Style

APA

Xuan Teng1*, Qing Teng2

1 Foreign Studies College, Hunan Normal University, China

2 Foreign Studies College, Hunan Normal University, China

*Corresponding author’s email: xuanteng@hunnu.edu.cn

*Orcid: https://orcid.org/0009-0005-1133-8589

® Copyright (c) 2025 Xuan Teng, Qing Teng

Keywords: Ecological classrooms, L2 writing anxiety; L2 writing achievement; Chinese senior high school English learners

ABSTRACT

In most English writing classrooms in China, the less than ecological learning environments often contribute to Chinese senior high school students’ moderate to high levels of English writing anxiety and hinder their progress in English writing achievement. To address this issue, this study constructed an ecological classroom for English writing instruction based on the nested ecosystems model (Bronfenbrenner, 1979, 1993) and the concept of affordances (van Lier, 2004). A 14-week pedagogical intervention was conducted in a senior high school in China with an experimental class following the ecological classroom instruction and a control class receiving the traditional classroom instruction. Results showed that participation in ecological classroom significantly reduced their writing anxiety and increased their writing achievement. A negative correlation was also found between these two variables in the experimental class. These findings demonstrated the effectiveness of ecological classroom for alleviating writing anxiety and improving writing achievement, and offer insights for the potential of ecological classrooms to create emotionally supportive and pedagogically dynamic environments that foster both affective well-being and English writing development.

Introduction

Writing is a vital component of English as a second or foreign language (L2) learning because it consolidates L2 learners’ mastery of vocabulary, grammar, and discourse structures, and cultivates their ability to think critically, express ideas coherently, and explore cultural perspectives thoroughly (Hu & Saleem, 2023; Li et al., 2024). This is particularly notable in the Chinese senior high school context, where writing, as a vital component of the large-scale high-stake examinations and the National English Curriculum Standards shapes both teaching practices and learning outcomes (Bai & Zhou, 2024). Importantly, the development of writing ability must take place within an ecosystem in which students engage in authentic communication, draw on diverse cultural resources, and interact with peers, teachers, and texts. Within this system, their writing and other language skills reinforce one another, and cultural understanding and cognitive development gradually deepen through meaningful practice. In this way, English writing bridges language knowledge with higher-order thinking, emotional well-being and communicative skills essential for their holistic growth.

However, the current writing instruction practices in many Chinese senior high schools have in reality detracted from the ecological balance of this system. According to Zhou (2017), the rigid physical settings, oversized classes, authoritative role of teachers, limited teacher-student interaction, real-life detached teaching content, underutilized teaching resources, teacher-centered instruction, and exam-oriented, unilateral teaching evaluation together contribute to the less than ecological situation in many English classrooms of Chinese senior high schools. Particularly for English writing teaching, as pointed out by Lian (2020), the dominance of teachers in the classroom, rigid formats of the writing tasks, heavy homework load, insufficient authentic language environments, and exam-oriented evaluation consist of the causes of ecological imbalance in the English writing classroom system.

This less than ecological status of English classroom writing instruction may, to a certain extent, impact on the affective states involved in English learners’ writing processes. One of the affective variables, notably anxiety, has increasingly drawn attention from educators and applied linguists in recent years. A few scholars (i.e., Saghafi et al., 2017) have found a profound association between ecological factors and the anxiety L2 learners have experienced during their writing. According to Krashen’s (1982) Affective Filter hypothesis, excessive anxiety could create a barrier that prevents L2 learners from effectively processing and internalizing language input, and thereby hinder L2 learning. As extant literature (Wang, 2024) showed, there is an overall moderate to high level of L2 writing anxiety among Chinese senior high school students, which is likely to have a detrimental effects on their writing performance. Therefore, it is of particular importance that appropriate measures, based on the relevant ecological factors, be implemented to create a supportive classroom environment that helps to alleviate their L2 writing anxiety and increase their L2 writing performance. This study seeks to fill this gap by examining the extent to which an ecological classroom, keeping balance through the harmonious interaction of its ecological factors, mitigates L2 writing anxiety and improves L2 writing performance among Chinese senior high school students.

Literature review

Definition and Characteristics of Ecological Classrooms

As the application of educational ecology (Cremin, 1980) to classroom teaching and learning, ecological classrooms are often described an organic ecosystem in which teachers and students establish the “symbiosis” relationship through dynamic interaction with each other and the classroom environment to support their growth (Feng, 2015; Kolpin, 2019). Rather than treating teaching as a unidirectional transfer of knowledge, ecological classrooms highlights the classroom teaching environment as a complex, adaptive system that evolves through the reciprocal relationships of its various factors and the environment (Hao, 2022). This perspective, aligning with Bronfenbrenner’s (1994) ecological systems theory and van Lier’s (2004) ecological approach to language learning, emphasizes the importance of balance and sustainability in human development and education.

A handful of scholars has described the characteristics of ecological classrooms (i.e., Wang, 2006; Zhou, 2017; Hao, 2022; Luu, 2022). According to Zhou (2017), the main features of an English ecological classroom in senior high schools consist of its overall openness, flexible interaction, respect for individual differences, harmonious symbiosis, and sustainable development. Openness means the reciprocal exchanges of knowledge and resources among teachers, students, and the wider community. Differing from the traditional teacher-centered instruction, flexible interaction embodies the adoption of diverse teaching methods and interactive activities to stimulate students’ critical thinking and foster their autonomous learning. By showing respect for individual differences, teachers tailor their instruction to students’ needs and help them find the learning methods that serve to exploit their potentials. With regard to harmonious symbiosis, there exists a harmony between teachers, students and the classroom teaching environment so that teachers and students inspire one another and work together as co-developers of knowledge. When it comes to sustainable development, teachers ensure that learning remains meaningful, motivating and long-lasting by cultivating students’ independent learning abilities, maintaining their interest in learning English, and communicating with them regularly for their long-term growth. Collectively, following these ecological laws, the various factors in the English classrooms, including students, teachers, learning content, learning methods, learning evaluation and learning environment, work together as micro educational ecosystem that achieves an ecological balance.

Ecological Classrooms and L2 Learners’ Academic Performance and Affective States

An expanding body of research has given credence to the link between ecological classrooms and students’ academic performance. For example, Oyinlade and Watson (2001), focusing on classroom arrangement of seating, found that where a student sat on any part of the single-row horseshoe configuration did not significantly affect their academic grades or class attendance. They claimed that the single-row horseshoe classroom design fostered a classroom ecology where a student’s seat location does not inherently place them at an academic disadvantage. Makaremi’s (2024) review of the building science-related literature showed the substantial impact of indoor environmental quality (i.e., thermal comfort, indoor air quality, acoustic and lighting conditions), classroom interior space quality (i.e., layout and furniture, window view and integration of nature, color), and individual characteristics on students’ overall well-being in higher education. Justice et al. (2023) unmasked the correlation between the four dimensions of the classroom ecology, notably classroom composition, peer network and norms, teacher practices, and student experiences and the five child outcomes (math, reading, behavioral control, peer social skill, and school liking) from pre-kindergarten to third grade. In the L2 learning context in China, Zhu’s (2018) study showed that the occurrence of peer scaffolding in the ecological classroom had improved college-level English learners’ group oral presentation quality. For high school students, Kang and Han (2025) investigated data from the China Education Panel Survey consisting of socio-demographic information collected from 7th and 9th grade junior high school students. Their results demonstrated that overall Chinese junior high schoolers’ academic performance is shaped by both ecological systems (individual, family, teacher, and school factors) and intersectionality (social positions like parental education, and family income).

Concomitant with this growing interest, a number of studies centering on the association of ecological classrooms with affective variables in L2 learning contexts have been conducted over the past couple of years. Li (2023), in particular, provided a systematic review of the ecological studies on L2 learners’ affective variables, including willingness to communicate, anxiety, enjoyment, and boredom. As she put it, the ecological perspective is especially relevant to the examination of emotional factors embedded in the L2 classrooms because “it takes into account the primary contextual aspects, both human and nonhuman, that might all impact on the growth and fluctuations in the affective states of language learners’ behavior” (p. 2). In line with this reasoning, findings from a few empirical studies have pointed to the embeddedness of L2 learners’ affective states in a network of external and internal sociocultural factors. For instance, Kruk et al.’s (2022) study showed that boredom in an online English language classroom emerged from a complex interplay of ecosystemic factors. These factors were identified across three levels: the microsystem (e.g., technological issues, teaching style, repetitive tasks), the mesosystem (e.g., past learning experiences, home distractions), and the exosystem (e.g., curriculum design, platform problems). Tewelde et al. (2023) likewise found that sophomore L2 students in Eritrea experienced a wide range of positive, negative, and ambivalent emotions in the English language education ecosystem. These emotions stemmed from individual, teacher-related, linguistic and systemic conditions, and informed their identity and visualization of their ideal selves within the ecosystem. In the L2 learning context in China, the study conducted by Long and Xu (2023) revealed that a college English teacher’s use of reformulations with the intention of providing emotional support encouraged student participation in the classroom conversation. Students’ perceptions of the emotional support, on the other hand, were shaped by the combination of a plethora of contextual factors. Taken together, these studies suggest that from an ecological perspective, the affective experiences in L2 learning are not simply isolated internal states. Rather, they emerge from and constantly interact with a multi-layered ecosystem of personal, social, and environmental factors.

Definition of L2 Writing Anxiety and Measures to Alleviate It

L2 writing anxiety usually denotes the feelings of tension, apprehension, and nervousness that L2 learners experience when they are in situations where writing in a language that is not their native tongue is required (Cheng, 2004a). It derives from multiple sources, including instructional practices (e.g., time pressure, unfamiliar topics), personal beliefs about writing (e.g., believing good writing is error-free), low self-confidence in L2 competences, and interpersonal threats (e.g., fear of negative evaluation), which often leads to avoidance behaviors and hinders the writing process and overall language acquisition (Cheng, 2004b). As a result, it is very likely that L2 writing anxiety is influenced by both internal and external factors.

Extant studies have in general revealed a negative correlation between L2 writing anxiety and L2 writing performance (Teimouri et al., 2019; Papi & Khajavy, 2023). For example, Zabihi et al. (2020), examining the effects of L2 writing anxiety on Iranian English learners’ written performance, found that while L2 writing anxiety mainly reduced accuracy in narrative writing, it mostly detracted from fluency, complexity, and accuracy in argumentative writing. Similarly with Iranian English learners, Abolhasani et al. (2022) investigated the contribution of L2 writing anxiety to their performance on graph-based writing tasks and found that L2 writing anxiety was a negative predictor of graph comprehension, graph interpretation, and graph translation. In their study, learners with lower L2 writing anxiety achieved higher level of graph writing performance. An and Li (2024) differentiated between task-specific writing anxiety and  general L2 writing anxiety, and found that for Korean English learners, general L2 writing anxiety was consistently, negatively associated with learners’ immediate target structure accuracy, whereas task-specific anxiety had a detrimental effect in general but a positive one when learners received metalinguistic feedback under the within-task planning condition. Overall, these findings have unmasked the pervasive adverse effects of L2 writing anxiety on learners’ writing performance across task types and learning conditions.

According to Tahmouresi and Papi (2021), the negative relationship between L2 writing anxiety and L2 writing performance can be attributed to learners’ procrastination in their writing assignments, dissatisfaction with their writing experiences, avoidance of expressing complex ideas in their written work, and less effort to improve their writing skills. In face of these obstacles, educators and applied linguists have increasingly stressed the necessity of implementing pedagogical interventions that serve to alleviate L2 writing anxiety and increase L2 writing performance. As Papi et al. (2022) summarized it, teaching strategies useful for learners to cope with their L2 writing anxiety include providing face-to-face or computer-mediated peer feedback, writing dialogue journals, encouraging risk-taking and creativity in writing tasks, fostering positive attitudes to errors, enhancing their ideal L2 writing selves, using familiar writing topics, and adopting a process-oriented approach to L2 writing instruction. While most of these intervention measures may be effective as far as the immediate learning environment (i.e., L2 classrooms) is concerned, they are somewhat inadequate to probe the changes in affective states in relation to the multi-layered system in which L2 learners are affiliated with, including their family influences, school-based assessment policies, examination-oriented culture, as well as curricular transition. Therefore, it is of importance and relevance to examine the extent the use of pedagogical interventions beyond the local level aids in L2 learners’ alignment of ecological affordances and their cognitive-psychological well-beings.

Thus far, there are a few studies that have examined L2 anxiety in particular from an ecological perspective. Rani (2020), for example, employed an ecological systems module to better understand the factors contributing to English language learning anxiety among undergraduate students in Pakistan. The factors identified consisted of the classroom environment, peer pressure, involvement in extracurricular activities, parents’ financial status, institutional rules, the ethnic background of the students, and the culture of teaching and learning English. Based on the findings, she concluded that an ecological approach was advantageous in tracing the reasons for L2 anxiety both inside and outside the classroom and offering an more thorough understanding of the phenomena under exploration. Applying an ecological perspective, Kasbi and Elahi Shirvan’s (2017) study with Persian learners of English revealed L2 speaking anxiety as a fluctuating state influenced by a variety of internal and external factors, such as background knowledge, the use of new words and expressions, teacher and peer judgment, classroom environment, past learning experience, course assessment, and the goal to pass university entrance exam. As the only study until now concerning L2 writing anxiety, Saghafi et al. (2017), drawing on an ecological perspective, unmasked the emerging patterns of L2 writing anxiety on the basis of the synergistic interaction between Iranian English learners’ individual (i.e., linguistic, cognitive, affective) factors and a wide range of contextual factors (i.e., classroom environment, extracurricular activities, curriculum design, evaluation criteria, Iranian cultural themes). Additionally, they emphatically endorsed the use of the ecological approach as it offered a comprehensive, contextualized examination of the interactive factors that are vital for accounting for the fluctuation of L2 writing anxiety in the immediate classroom environment.

Although the aforementioned studies have offered valuable insights, their descriptive nature leaves unclear the usefulness of pedagogical interventions, informed by ecological factors, for alleviating L2 writing anxiety and, by extension, promoting L2 writing performance. There thus exists a critical gap in the literature concerning the development and implementation of ecological classroom intervention, and the measurement of its effectiveness.

Current Ecological Situation in Chinese Senior High School Writing Classrooms

According to Mo (2023), the classroom ecology in many Chinese high schools tends to be less than balanced. Specifically, students are often passive recipient of knowledge who demonstrate little willingness to actively participate in classroom activities. They are largely overwhelmed by the amount of homework and evaluated by the test-oriented unilateral assessment criteria. Teachers, on the other hand, in face of a large number of students, usually play an authoritative role in acquiring knowledge and find it difficult to take into consideration students’ individual needs and personal characteristics. The submissive teacher-student relationship often results in the school’s decreased likelihood of meeting students’ learning compared with extra-curricular institutions. With regard to English writing, Bai and Zhou (2024) pointed out that “test-driven culture, limited instructional time, tight schedule, large class size, teachers’ (mis)conceptions, students’ attitudes and other potential social-cultural factors” (p. 6) collectively constitute some of the most critical the issues in English writing instruction in China’s basic education. They also contented that an ecological approach might serve as the important attempts to improve English writing instruction in schools.

To sum up, the current situation in Chinese senior high school writing classrooms are less than ecological in terms of classroom environment, teacher-student relationship, teaching materials, teaching methods, and assessment criteria. Such a situation on the whole contrasts with the operationalization of aforementioned ecological classrooms, characterized by their  openness, flexible interaction, respect for individual differences, harmonious symbiosis, and sustainable development. Based on the close association between ecological factors and L2 writing anxiety documented in the prior studies (i.e., Kasbi & Elahi Shirvan, 2017; Saghafi et al., 2017; Rani, 2020), it is valuable and need-fulfilling to construct an ecological classroom that addresses the ecological imbalance in current Chinese senior high school writing classrooms. Given the descriptive nature of most studies examining L2 writing anxiety from an ecological perspective, it is also necessary to implement the ecological classroom practice and assess the extent to which it can alleviate L2 learners’ writing anxiety and improve their writing performance. This study therefore seeks to design and implement an ecological classroom in Chinese senior high school writing instruction, with the aim of examining its effectiveness in reducing L2 writing anxiety and enhancing writing performance.

Theoretical Framework

This study deploys the nested ecosystems model (Bronfenbrenner, 1979, 1993) and the concept of affordances (van Lier, 2004) to examine L2 writing anxiety in an ecological English writing classroom in Chinese senior high schools.

Bronfenbrenner’s (1979, 1993) nested ecosystems model provides a conceptual and operational framework for understanding human development within interconnected environmental systems. At its core lies the microsystem, which, in the context of English writing instruction in Chinese senior high schools, refers to the immediate classroom environment where teacher-student and peer interactions directly shape learners’ affective and cognitive engagement. Encompassed within this is the mesosystem, which denotes the interconnections between students’ classroom environment and other key contexts in which they are situated, including home, school administration, and extracurricular learning spaces. The interactions across all these levels ultimately converge to shape students’ writing experiences. Beyond these lies the exosystem, which includes broader institutional and policy factors, such as curriculum standards, assessment practices, and teacher training programs, indirectly shaping classroom ecology. The macrosystem embodies overarching cultural norms and educational ideologies that frame beliefs about English writing, second language acquisition, teacher authority, and academic achievement. Finally, the chronosystem captures the dimension of time and highlights the way in which educational reforms, such as China’s “Double Reduction” policy, along with evolving societal values, dynamically reshape classroom practices over time. Together, these nested systems illustrate what Bronfenbrenner (1979, p.21) described as “the progressive, mutual accommodation between an active, growing human being and the changing properties of the immediate settings in which the developing person lives, as this process is affected by relations between these settings, and by the larger contexts in which the settings are embedded.” Adoption of this ecological perspective underscores the importance of fostering balanced, interactive, and adaptive learning environments that acknowledge the interdependent relationship between learners and the multilayered systems surrounding them.

The concept of affordances, originally proposed by Gibson (1979), is commonly described as “possibilities for action” (as summarized by Barsingerhorn et al., 2012, p. 54) present within a given environment. From a learning perspective, what is crucial is that such possibilities are neither fixed nor objectively given; instead, they emerge only when a learner interacts with the environment in a particular manner. This relational perspective, grounded in ecological psychology, redirects focus from the static attributes of a classroom setting to the dynamic, ongoing transactions between learners and their surroundings. In L2 contexts, these transactions manifest as opportunities for communication, participation, and language development arising from classroom discourse, established interactional routines, and the social relationships that underlie these exchanges. Van Lier (2004) aptly captures this notion by describing affordances as “action in potential” that only materializes as learners proactively engage with both the physical and social dimensions of their environment (p. 92).

Viewed from this perspective, affordances unfold through a recursive cycle of noticing, interpretation, and action. Learners first notice potential opportunities in their environment, including teacher feedback, peer responses, or authentic writing tasks. What they notice is simultaneously filtered through their attentional priorities and previous learning experiences. They then interpret these possibilities through evaluation of which ones matter for their immediate goals and which align with their developing identities as L2 writers. Only after this process of interpretation do they act and engage linguistically, cognitively, or socially with the opportunity at hand. Each action reshapes what they are able to perceive next and generate subsequent rounds of noticing and interpretation. Learning, in this way, becomes a dynamic and adaptive process rather than a linear uptake of instructional input.

In an ecological English writing classroom, this recursive perspective places responsibility not only on learners but also on teachers to design environments saturated with meaningful affordances. Such environments allow students to construct knowledge, strengthen their writing competence, and gradually cultivate learner autonomy through iterative engagement with the classroom ecology.

Research Questions

As Bai and Zhou (2024) maintained, while L2 writing instruction had received considerable attention in Chinese academia, very few studies was conducted in relation to teaching and learning English writing in senior high schools. This study thus attempts to construct an ecological classroom for English writing instruction in Chinese senior high schools. In addition, it aims to assess its effectiveness for alleviating Chinese senior high schoolers’ L2 writing anxiety and improve their L2 writing performance, and to determine the relationship between these two variables after the ecological classroom intervention. To achieve these objectives, this study seeks to address the following research questions:

  1. What are the effects of an ecological classroom on Chinese senior high school students’ L2 (English) writing anxiety?
  2. What are the effects of an ecological classroom on Chinese senior high school students’ L2 (English) writing performance?
  3. What is the relationship between L2 (English) writing anxiety and L2 (English) writing performance following the ecological classroom intervention?

Methods

Pedagogical Setting & Participants

This study was conducted at a senior high school located in south-central China with a total of 100 second-year students from two parallel classes. These students, typically aged between 16 and 17, had been studying English for approximately six to eight years as part of China’s national curriculum. Like many Chinese senior high school students, they faced considerable academic pressure due to the highly competitive college entrance examination, which places strong emphasis on English proficiency and writing skills. In line with the general structure of English education in Chinese high schools, their English classes were held five to six times per week and focused primarily on reading comprehension, grammar, vocabulary building, and writing practice.

A convenience sampling method was adopted to select the participants. Two intact classes from the same grade level were chosen for the study:  the experimental class (EC) was instructed by the researcher, while the control class (CC) was taught by an experienced English teacher from the same school. Both classes followed an identical curriculum and utilized the same instructional materials. All participating students were fully informed of the study’s objectives and procedures and provided their voluntary consent to participate. Prior to the intervention, these two classes were equivalent in terms of L2 writing anxiety (t = -.792, p = .430) and L2 writing performance (t = .084, p = .933).

Design of the Study

This study employed a mixed-methods approach with a convergent design to comprehensively examine the effects of ecological classrooms on L2 writing anxiety and writing performance. In this design, quantitative and qualitative data were collected concurrently during the intervention period, analyzed separately, and subsequently integrated to provide a more holistic understanding of the research questions. Quantitative data, derived primarily from responses to the pre, post, and delayed post tests, as well as the Foreign Language Writing Anxiety Scale (FLWAS) questionnaire were used to measure changes in students’ writing performance and levels of writing anxiety. Qualitative data, gathered through semi-structured interviews, were used to capture participants’ perceptions and experiences of the ecological dynamics of classroom interactions. The integration of these two strands of data enabled triangulation of findings, which allowed for both statistical validation and in-depth interpretation of the way ecological classroom environments influence students’ affective and cognitive dimensions in L2 writing.

Data collection & analysis

Foreign Language Writing Anxiety Scale (FLWAS) questionnaires

According to Guo and Qin (2010), the FLWAS was adapted from Cheng’s (2004a) Second Language Writing Anxiety Inventory and validated with Chinese non-English majors. Designed to measure the specific types and levels of anxiety experienced by L2 learners in English writing, the scale contains 20 items rated on a five-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Six items (Items 4, 7, 17, 18, 21 and 22) are reverse-scored to control response bias.  It consists of four dimensions of writing anxiety: Classroom Teaching Anxiety, Conceiving Anxiety, Avoidance Behavior, and Lack of Confidence Anxiety. Among these four dimensions, Classroom Teaching Anxiety (items 3, 8, 14, 19, 20) reflects the tension and nervousness students experience in classroom writing situations, particularly when their work is subject to teacher evaluation, peer comparison, or time constraints. Conceiving Anxiety  (items 2, 6, 11, 13, 14) describes the cognitive difficulty and panic that students experience when generating ideas or organizing thoughts before or during timed writing tasks. Avoidance Behavior  (items 4, 5, 10, 12, 18, 22) represents students’ tendencies to avoid writing in English whenever possible, reflecting a behavioral manifestation of anxiety and a negative coping strategy toward writing tasks. Lack of Confidence Anxiety (items 7, 9, 17, 21) denotes students’ worries, self-doubt, and low confidence regarding their English writing competence and potential evaluations. The overall internal consistency of the scale was high, with a Cronbach’s α of 0.842. Scores on the scale range from 20 to 100, with higher scores indicating greater levels of writing anxiety. Furthermore, for each item on the scale, a mean score of 3.5 or above indicates a high level of writing anxiety, a score between 2.5 and 3.4 represents a moderate level of anxiety, and a score of 2.4 or below suggests a low level of writing anxiety. To avoid practice effects, three versions of the FLWAS with identical content but different item orders were created. Among them, version 1 was administered before the ecological classroom intervention, version immediately after the intervention, and version 3 one month following the intervention.

English writing tests

An English writing test was administered to the participants in order to investigate their English writing performance. Three versions of the English writing test, equivalent in content, format, and difficulty, were administered throughout the intervention, comprising a pretest, an immediate post-test, and a delayed post-test. The test prompts, adapted from the school’s final examination papers, maintained a moderate level of difficulty, corresponded well with students’ background knowledge, and exhibited satisfactory reliability and validity. The writing genre for the tests was news report, given its importance in the 2017 English Curriculum Standards for Senior High Schools as one of the required discourse type for students to master its organizing structure and linguistic features. A pretest was conducted prior to the intervention to ensure the equivalence of English writing proficiency between the two classes. Its results also served as a baseline for comparison with those of the post test and the delayed post test. The post test was administered at the conclusion of the intervention to measure the short-term effects of the ecological classroom, while the delayed post test, conducted one month later, was designed to assess the persistence of these effects over time. Each test involved approximately 80 words and took 30 minutes to complete.  

Semi-structured interviews

A semi-structured interview was conducted to obtain in-depth insights into the participants’ perceptions of the ecological classroom and its effects on their writing anxiety and writing performance. 10 students were randomly selected and interviewed in a relaxed setting one day after the post test. All interviews were conducted in Chinese, audio-recorded, and transcribed for subsequent thematic analysis.

Research procedures

The collection of data for this study lasted 14 weeks (September to December 2024). In week 1, the two classes were briefed on the study and gave their informed consent to participate. The FLWAS and the pretest was administered to both EC and CC. From weeks 2 to 9, the pedagogical intervention took place where both classes were taught using identical topics and materials, with the only difference being the teaching approach: EC received instruction based on the pre-writing, while-writing, post-writing (PWP) model embedded in an ecological classroom, while CC followed the PWP model within a traditional classroom. The post test was conducted in week 10, following the same procedures as the pretest. In addition, 10 students from EC were randomly selected and interviewed. One month later (week 14), a delayed post test was administered to both classes and concluded the study.

The ecological classroom was grounded in Bronfenbrenner’s (1979, 1993) ecological systems theory and van Lier’s (2004) affordance theory (see Figure 1), and emphasized harmony and balance among learners, teachers, and the environment. The teaching process included four stages: pre-writing, while-writing, post-writing, and summary with homework, each embodying the ecological principles of openness, interaction, diversity, and sustainability.

Before teaching, the teacher designed a supportive physical and social environment by arranging flexible seating, ensuring comfort, and providing accessible materials such as books, newspapers, and visual displays. This open and adaptable setting fostered communication and collaboration. In the pre-writing stage, teachers introduced writing objectives and motivated students through videos, discussions, and group brainstorming. Students took on different roles, such as reporter, secretary, and leader, and this group work promoted interaction and role diversity. Authentic materials such as news articles, cultural texts, and mind maps enriched the learning environment and reduced limiting factors, allowing students to perceive and interpret multiple affordances (cognitive, emotional, cultural, and social). The teacher acted as a facilitator and encouraged the key elements of openness and sustainability: curiosity, creativity, and learner autonomy.

During the while-writing stage, students engaged in independent writing supported by teacher guidance and peer collaboration. Writing progressed from words to sentences to paragraphs, reflecting gradual cognitive development within an interactive ecosystem. Group practice created real communicative contexts, reduced marginal participation, and promoted inclusivity and sustained engagement. Students transformed perceived and interpreted affordances into meaningful writing experiences or action, which reflected continuous ecological growth.

The post-writing stage emphasized multi-dimensional feedback through teacher, peer, and self-evaluation. Such diverse evaluation sources promoted openness and reflection, and enabled students to revise and refine their work through iterative drafts. The “living water effect” as a result of this ongoing feedback maintained the vitality of learning and supported

Figure 1 The ecological classroom model for EC

sustainable improvement in writing ability.

In the final stage, students collaboratively summarized their writing achievements and enhance their sense of agency and ecological presence in the classroom. Homework extended their learning beyond class through creative, open-ended tasks such as poster-making or online research. These activities fostered creativity, independent exploration, and respect for individual differences, which demonstrated the principles of diversity and sustainability.

In summary, the ecological classroom served to transform traditional writing instruction into a dynamic, student-centered ecosystem characterized by openness in communication, interaction among all participants, diversity of learning affordances, and sustainability of learning growth.

For CC, the students were guided from understanding the topic and brainstorming ideas to drafting, revising, and refining their compositions through peer and teacher feedback. The emphasis was placed on grammatical usage, lexical choices, and sentence structure, and the students received a final grade according to the quality of their drafts from the teacher.

Data analysis

The participants’ responses to the English writing tests were evaluated and scored by the researcher, the experienced English teacher, and another qualified English instructor in accordance with the scoring criteria of the Senior High School Entrance Examination. Specifically, the criteria were based on a five-band scoring system with a total of 15 points, and assess writing performance in terms of task completion, content relevance, language accuracy and variety, coherence, and overall communicative effectiveness. Inter-rater reliability was .87, with differences resolved by discussion. The interview data were coded thematically (Braun & Clarke, 2022) using an inductive approach to identify recurring patterns related to students’ perceptions, experiences, and attitudes toward ecological writing instruction. The qualitative findings were then compared and integrated with quantitative results from questionnaires and tests for triangulation and identification of convergences or discrepancies between the two data types. For research questions 1 and 2, independent samples t-tests and repeated measures ANOVA in SPSS 22.0 were employed to assess the short and long-term effects of ecological classroom on L2 writing anxiety and L2 writing performance, and the significance level was set at p < .05. For research question 3, Pearson correlation analysis was deployed to measure the correlation between the two variables after the intervention, and again the significance level was set at p < .05.

Results

Q1: What are the effects of an ecological classroom on Chinese senior high school students’ L2 (English) writing anxiety?

Table 1 reveals significant differences between ecological (EC) and traditional (CC) classrooms in their effects on overall L2 writing anxiety, both in the short term and long term. In the short term, EC reported significantly lower L2 writing anxiety (M = 2.578, SD = .260) compared to that of CC (M = 3.239, SD = .549), with a highly significant t value of 7.698, p < .05. This suggests that ecological classroom environments substantially reduced EC’ immediate L2 writing anxiety. In a similar vein, in the long term, EC continued to show lower

Table 1

Comparing the short and long-term effects of ecological vs. traditional classroom on overall L2 writing anxiety

 VariableMSDtdfp
The short-term effects on overall L2 writing anxiety     
 EC2.578.2607.69898.000
 CC3.239.549   
The long-term effects on overall L2 writing anxiety     
 EC2.781.3102.48998.015
 CC3.012.578   
Independent Samples t-test

anxiety levels (M = 2.781, SD = .310) than CC (M = 3.012, SD = .578), with a t value of 2.489, p < .05. Although the long-term difference is less pronounced, it remains statistically significant, indicating that the ecological classroom provides both immediate and sustained benefits in lowering L2 writing anxiety over time.

The repeated measures ANOVA further supports this finding through the within-subjects effects analysis and shows a statistically significant main effect of time on L2 writing anxiety, F = 34.794, p < .05. This indicates that EC’ writing anxiety levels significantly differed across the three testing occasions. The results of the Bonferroni-adjusted pairwise comparisons among the three testing occasions further shows that the mean L2 writing anxiety score at the pretest was significantly higher than at both the post test (MD = 0.584, p < .05) and the delayed post test (MD = 0.381, p < .05). Moreover, there was a significant difference between the post test and the delayed post test (MD = −.203, p < .05), indicating that although L2 writing anxiety slightly increased between these two tests, it remained substantially lower than the pretest level. In contrast, no significant main effect of time on L2 writing anxiety was found in CC. This suggests that EC’s writing anxiety levels decreased remarkably and continuously across the three administration of the FLWAS questionnaire, and the ecological classroom intervention  produced meaningful improvements in reducing L2 writing anxiety through time.

Table 2 presents a comparison of the short and long-term effects of ecological (EC) versus traditional (CC) classrooms on the four sub-components of L2 writing anxiety. These results indicate that ecological classrooms significantly reduced all its dimensions compared to traditional classrooms, particularly in the short term. For classroom teaching anxiety, EC reported lower anxiety (M = 1.828, SD = .434) than CC (M = 2.948, SD = .714), with a highly significant difference (t = 9.473, p < .05), and this reduction remained significant in the long term (t = 5.282, p < .05). Regarding conceiving anxiety, EC again showed significantly lower anxiety both in the short term (t = -5.307, p < .05) and long term (t = -6.486, p < .05). Similarly, ecological classrooms effectively reduced avoidance behavior in the short term (t = 8.105, p < .05) and to a lesser extent in the long term (t = 2.016, p < .05). For lack of confidence anxiety, significant short-term differences were observed (t = 3.339, p < .05), but the long-term difference was not statistically significant (t = -.910, p = .365). Overall, these results suggest that the ecological classroom environment considerably lowered L2 writing anxiety across multiple dimensions, particularly in the short term, with most effects persisting across time.

The repeated measures ANOVA further confirms these outcomes through the within-subjects effects analysis, revealing statistically significant changes in classroom teaching anxiety (F = 32.615, p < .05), conceiving anxiety (F = 28.473, p < .05), and avoidance behavior (F = 19.286, p < .05) over time. However, no significant within-subjects effect was found for lack of confidence anxiety (F = 1.784, p = .175). Conversely, no significant main effect of time was observed in CC for any of the sub-components. These results suggest that students in the ecological classroom experienced marked and consistent declines in classroom teaching anxiety, conceiving anxiety, and avoidance behavior across the three administrations of the FLWAS. Overall, the ecological classroom intervention clearly demonstrated remarkable and

Table 2

Comparing the short and long-term effects of ecological vs. traditional classroom on the sub-components of L2 writing anxiety

 VariableMSDtdfp
The short-term effects on classroom teaching anxiety     
 EC1.828.4349.47398.000
 CC2.948.714   
The long-term effects on classroom teaching anxiety     
 EC2.120.4975.28298.000
 CC2.830.810   
The short-term effects  on conceiving anxiety     
 EC4.500.491-5.30798.000
 CC3.827.751   
The long-term effects  on conceiving anxiety     
 EC4.380.535-6.48698.000
 CC3.540.744   
The short-term effects  on avoidance behavior     
 EC2.173.5188.10598.000
 CC3.4871.022   
The long-term effects  on avoidance behavior     
 EC2.307.4252.01698.048
 CC2.580.859   
The short-term effects  on lack of confidence anxiety     
 EC2.820.3213.33998.001
 CC3.210.761   
The long-term effects  on lack of confidence anxiety     
 EC3.100.363.91098.365
 CC3.207.745   
Independent Samples t-test

sustained effectiveness in reducing multiple dimensions of L2 writing anxiety.

Qualitative data from semi-structured interviews additionally point to the positive impact of the ecological classroom practices in reducing L2 writing anxiety among students in EC. When queried about changes in their L2 writing anxiety compared to the pre-intervention period, all ten interviewed participants reported a noticeable decrease in their apprehension toward English writing. Thematic analysis of their responses identified several key areas of improvement:

1. shift from avoidance to engagement

A prominent theme was a move away from avoidance behaviors toward active engagement. For example, participant A stated, “I would not try to avoid writing in English as much as I used to.” Participant D similarly reported a reversal in attitude by mentioning, “Now, I’m not against writing in English. I’m going to seize the chance to write any chance I get.”

2. alleviation of cognitive and physiological stress

Students reported a reduction in both psychological and physiological symptoms of anxiety. Particularly student E explicitly noted, “I feel less stressed than I was earlier.” Student F observed that, “Some uncomfortable physiological reactions I used to have toward English writing diminished.” Student C reflected on her writing experience during the intervention by noting, “I noticed a decrease in my cognitive blocks, unlike before when my mind would just go blank. Now, I find that I can write more easily when I have a topic to talk about.”

3. increase in self-efficacy and positive affect

During the interview, a few participants expressed a growing sense of confidence and enjoyment in writing in English. “I actually find it enjoyable to communicate my ideas in English now.” stated student B, reflecting on a change in his attitude toward the writing tasks. Similarly, Student J remarked, “Writing in English is not as scary as I used to think.” With demonstration of an increase in self-efficacy, Student B shared, “I started making a writing plan to help me with my weak areas.”

Q2: What are the effects of an ecological classroom on Chinese senior high school students’ L2 (English) writing performance?

Table 3 compares the short and long-term effects of ecological (EC) and traditional (CC) classrooms on students’ L2 writing performance. In the short-term, EC achieved a higher mean writing score (M = 12.02, SD = 1.152) than CC (M = 10.86, SD = 0.948), and the difference was statistically significant (t = -5.500, p < .05), indicating that the ecological classroom had a significant positive impact on EC’ L2 writing performance in the short term. In the long-term, although both classes showed relatively stable performance over time, EC maintained a higher mean score (M = 11.74, SD = 0.853) compared to CC (M = 10.94, SD = 1.168). The difference remained statistically significant (t = -3.912, p < .05), suggesting that the ecological classroom continued to exert a beneficial effect on EC’s writing performance even after a longer period. On the whole, these results demonstrate that the ecological classroom practices not only enhanced L2 writing performance in the short term but also sustained such advantage along the way compared with traditional classroom instruction.

Results from the repeated measures ANOVA revealed a significant main effect of time on EC’s writing performance, F = 22.14, p < .05, showing that EC’s performance significantly changed across the three English writing tests. Pairwise comparisons in a similar vein showed that for EC, the mean writing score at the post test was significantly higher than at the pretest, MD = -1.26, p < .05, and the delayed post test score was also significantly higher than the pretest, MD = -.98, p < .05. However, there was no significant difference between the post test and the delayed post test, MD = 0.28, p = .195. In contrast, no significant main effect of

Table 3

Comparing the short and long-term effects of ecological vs. traditional classroom on L2 writing performance

 VariableMSDtdfp
The short-term effects on L2 writing performance     
 EC12.0201.152-5.50098.000
 CC10.860.948   
The long-term effects on L2 writing performance     
 EC11.740.853-3.91298.000
 CC10.9401.168   
Independent Samples t-test

time on L2 writing performance was found in CC. These results indicate that the ecological classroom intervention led to significant improvements in EC’s L2 writing performance immediately after instruction, and that this improvement was largely maintained through the course of time.

Qualitative evidence based on the semi-structured interview data also showed the favorable influence that the incorporation of the ecological classroom instruction had on EC’s L2 writing performance. Analysis of the participant responses revealed several key themes as follows.

1. development of self-regulation and purposeful writing

During the interviews, several participants described their development of a greater sense of clarity and purpose in their writing, which mirrored a heightened level of self-regulation. Student J, for example, explained, “I’m learning with more clear aims now.” Similarly, student F expressed, “I feel more purposeful when writing.” With increased meta-cognitive awareness, student D reflected, “My mind is no longer in a chaos. I can recognize my areas of weakness and I am working diligently to refine my writing.”

2. improvement in writing fluency and idea generation

Many participants also highlighted their growing ability to generate and organize ideas more fluently. Student C, for instance, shared, “Now I can easily complete a writing task without much trouble. I’m striving to compose something more fluently and logically.” Likewise, student E commented, “I have more ideas to put into my writing”, and Student G remarked, “I can efficiently produce the writing content.”

3. increase in collaborative learning and resource utilization

Another recurring theme was the enhancement of collaborative learning and the proactive use of available resources. For example, student B observed, “We had more chances to share our ideas with our classmates.” Echoing this sentiment, student F emphasized the value of feedback by stating, “I’ve got more constructive comments and feedback from both teacher and classmates.” Meanwhile, student H recognized the importance of the use of learning resources by pointing out, “I can read and review the learning materials at my disposal and adapt them for my own writing. This allows me to learn from my mistakes and see the stead progress in my writing performance.”

4. formation of positive writing habits

A host of participants mentioned their development of autonomous writing habits that helped them transfer the L2 skills from a course requirement to a personal tool for communication and reflection. Student A, for example, shared, “Now I have formed the habit of writing English journals every day to keep a record of my daily routines, and this really helps me with my writing.” Students E made a similar comments by stating, “I’ve started using English to write short stories and social media posts. It no longer feels like homework, but a natural way for me to express myself.”

Q3: What is the relationship between L2 (English) writing anxiety and L2 (English) writing performance following the ecological classroom intervention?

As shown in Table 4, there was a significant negative correlation between overall L2 writing anxiety and L2 writing performance in both the post test (r = –.663, p < .05) and the delayed post test (r = –.702, p < .05). This result indicates that for both short and long time periods, higher levels of L2 writing anxiety were associated with lower L2 writing performance. Regarding the sub-components of L2 writing anxiety, classroom teaching anxiety showed a significant negative correlation with L2 writing performance in both the post test (r = –.360, p < .05) and delayed post test (r = –.520, p < .05). Similarly, lack of confidence anxiety was

Table 4

Correlations of EC’s L2 (English) writing anxiety and L2 writing performance in the post test and delayed post test

 VariableL2 (English) writing anxietyCTACAABLCA
L2 writing performance in the post test     
 Pearson Correlation-.663**-.360*-.054-.222-.920**
 Sig. (2-tailed).000.010.709.120.000
 N5050505050
L2 writing performance in the delayed post test     
 Pearson Correlation-.702**-.520**-.033-.376**-.805**
 Sig. (2-tailed).000.000.823.007.000
 N5050505050
Pearson Correlation Analysis

Note. CTA=Classroom Teaching Anxiety; CA=Conceiving Anxiety; AB=Avoidance Behavior; LCA=Lack of Confidence Anxiety; *. Correlation is significant at the 0.05 level (2-tailed); **. Correlation is significant at the 0.01 level (2-tailed).

strongly and negatively correlated with L2 writing performance in the post test (r = –.920, p < .05) and delayed post test (r = –.805, p < .05). However, cognitive anxiety did not exhibit any significant relationship with L2 writing performance at either testing session, whereas avoidance behavior showed a negative association with L2 writing performance only in the delayed post test (r = –.376, p < .05). Overall, these findings demonstrate that EC, who experienced lower levels of L2 writing anxiety, particularly classroom teaching anxiety and lack of confidence anxiety, tended to perform better in L2 writing tasks. Moreover, the stronger correlations observed in the delayed post test indicate that the negative association between these two variables may persist as time progressed.

The interview responses provided rich insights into EC’s emotional and cognitive experiences with their writing performance. For example, student H commented, “When I start writing in English, I always feel that my sentences are too simple or full of mistakes. Even if I have ideas, I stop many times to check grammar. I know it makes my writing slow and sometimes incomplete.” Student C further added, “When the teacher asked us to share our writing or give feedback to classmates, I felt really nervous. I worried that others would think my English was poor. Sometimes I just hoped the teacher wouldn’t call on me.” Several participants also indicated a longer-term persistence of writing-related apprehension, as student F noted, “Even after the final session, I still felt nervous when I had to write something in English by myself. I kept thinking about how the teacher would score it. I don’t think the nervousness went away completely.” Others mentioned that their anxiety was closely intertwined with their perceptions of self-efficacy and motivation. Student D, for instance, remarked, “Sometimes I felt that no matter how much I tried, my writing wouldn’t be as good as others’. This thought demotivated me to write longer essays or revise my drafts.” A few participants, such as student I, nevertheless reported that repeated practice and constant feedback contributed to reduced anxiety and improved outcomes, as she commented, “At the beginning, I was afraid to make mistakes. But after practicing more in class and getting feedback, I started to care less about being perfect. I think that’s when my writing got better.”

Discussion

Overall, the findings reveal that the ecological classroom exerted a significant positive influence on both L2 (English) writing anxiety and writing performance among Chinese senior high school students. Regarding the first research question, quantitative and qualitative data consistently showed that students in the ecological classroom experienced significantly lower overall writing anxiety than those in the traditional classroom, both immediately and over time, with notable reductions in classroom teaching anxiety, conceiving anxiety, and avoidance behavior. Interview data further highlighted decreased psychological tension, enhanced confidence, and a shift from avoidance to engagement in writing. Concerning the second research question, students in the ecological classroom demonstrated significantly higher L2 writing performance than their peers in the traditional classroom in both the short and long term, with improvements that were maintained over time. Qualitative findings supported these results, showing enhanced self-regulation, idea generation, collaboration, and positive writing habits. Addressing the third research question, correlation analyses indicated strong and persistent negative relationships between L2 writing anxiety and writing performance, particularly in classroom teaching anxiety and lack of confidence anxiety, suggesting that lower anxiety levels were closely associated with higher writing achievement. Collectively, these results demonstrate that the ecological classroom not only effectively reduces L2 writing anxiety but also enhances and sustains L2 writing performance, with reduced anxiety contributing meaningfully to improved writing outcomes.

Findings from research question one resonate with previous ecological studies showing that L2 learners’ affective states fluctuate in response to changes in their immediate and broader learning environments (Kruk et al., 2022; Tewelde et al., 2023) and are in line with the ecological perspective that stresses the dynamic interplay between learners, teachers, and their surrounding environment (Bronfenbrenner, 1994; van Lier, 2004). From an ecological standpoint, anxiety is not merely an internal psychological state but an emergent property of the classroom ecosystem shaped by multiple interrelated factors, including pedagogical practices, interpersonal relationships, and contextual affordances (Saghafi et al., 2017; Li, 2023). The reduced levels of L2 writing anxiety observed in the ecological classroom may thus be attributed to its openness, interaction, diversity and respect for individuality (Zhou, 2017; Hao, 2022). These characteristics are very likely to create a harmonious and supportive learning atmosphere where L2 learners felt emotionally secure and socially adept, and thereby alleviated their fear of negative evaluation and encouraged their active engagement in writing tasks. In contrast to traditional classrooms, which often emphasize performance outcomes and teacher-centered evaluation, the ecological classroom in this study placed importance on collaboration, autonomy, and sustainability. These are the factors that help to mitigate pressure and foster intrinsic motivation (Luu, 2022) throughout the writing process, and as prior studies (i.e., Alico, 2016; Wang, 2021; Sukjairungwattana et al., 2025) suggested, an increase in L2 learning motivation is often associated with a decrease in L2 writing anxiety. These findings overall substantiate earlier claims that interventions grounded in ecological principles can effectively transform debilitating emotions such as anxiety into positive affective engagement by reshaping the classroom into a balanced and reciprocal system (Rani, 2020; Kasbi & Elahi Shirvan, 2017). As a result, this study extends the ecological understanding of L2 writing anxiety by demonstrating that ecological classroom practices can durably lower students’ anxiety levels through systemic adjustments that nurture both the emotional and cognitive dimensions of L2 learning.

Findings from the second research question aligns with previous studies demonstrating that ecological classroom factors, such as teacher guidance, peer scaffolding, and enriched physical environments can significantly improve L2 learners’ academic performance (Justice et al., 2023; Zhu, 2018; Makaremi, 2024). It also corroborates the notion that learning outcomes are emergent from the complex, interactive dynamics of the classroom ecosystem (Cremin, 1980; Feng, 2015). The ecological classroom, characterized by openness, interaction, diversity, and sustainability (Zhou, 2017), provides abundant affordances for L2 development by fostering collaboration, learner autonomy, and meaningful engagement with authentic tasks. Specifically, the supportive physical and social setting, authentic materials, and collaborative pre-writing tasks enhanced student engagement, content relevance, and language variety. Guided and peer-aided writing fostered coherence and communicative effectiveness, while multi-dimensional feedback and reflection refined accuracy and organization. Extension activities further promoted creativity and autonomy, and sustained learning beyond the classroom. Altogether, these affordances enabled the L2 learners in this study to construct linguistic knowledge through continuous interaction with peers, teachers, and the environment, which is consistent with van Lier’s (2004) view of learning as an ecological process of attunement and adaptation. The observed long-term improvement in English writing performance further indicates that the ecological classroom can sustain their motivation and self-regulatory capacities, echoing Hao’s (2022) claim that ecological learning environments promote long-lasting cognitive and affective growth. Compared with the traditional classroom, which often restricts learning to linear instruction and summative evaluation, the ecological classroom’s emphasis on process-oriented writing, flexible interaction, and mutual respect likely empowered L2 learners to take ownership of their writing development and to internalize feedback more effectively. To sum up, these findings suggest that ecological classrooms facilitate both immediate and sustained improvements in L2 writing by integrating cognitive, social, and environmental dimensions into a cohesive and adaptive learning system.

The significant negative correlations found between L2 writing anxiety and writing performance following the intervention, as evidenced by findings of research questions three, further illuminate the reciprocal relationship between L2 learners’ affective states and their language development within an ecological framework. The strong and persistent negative correlations, particularly between classroom teaching anxiety, lack of confidence anxiety and writing performance suggest that emotional regulation and confidence in writing are central mediators of L2 learning outcomes in the ecological classroom. This finding supports van Lier’s (2004) assertion that affect and cognition are dynamically intertwined within the learning environment and that anxiety can either constrain or facilitate learner engagement depending on the quality of ecological interactions available. In this study, the reduction of anxiety and the corresponding improvement in writing performance, aligning with prior studies (i.e., Kasbi & Elahi Shirvan, 2017; Rani, 2020), indicate that the ecological classroom effectively nurtured positive affective conditions conducive to prolonged linguistic growth. Moreover, the persistence of these correlations in the delayed post test suggests that the ecological affordances, including peer collaboration, teacher encouragement, and a non-threatening atmosphere had lasting effects on students’ emotional stability and writing confidence. In contrast, students in more traditional classrooms may remain trapped in high-anxiety cycles due to rigid evaluation standards and limited interaction opportunities, as noted by Kruk et al (2022) and Tewelde et al (2023). Therefore, the present findings not only reaffirm the inverse relationship between anxiety and performance but also demonstrate how ecological classroom dynamics can moderate this relationship by creating an emotionally balanced and cognitively stimulating learning ecosystem.

Unexpectedly, the ecological classroom did not yield a sustained reduction in lack of confidence anxiety across time. This result suggest that while the immediate classroom ecology promoted short-term emotional relief, its long-term influence on deeper affective patterns was less pronounced. It may also reflect the firmly ingrained and trait-like nature of these anxiety dimensions, which are shaped not only by classroom interactions but also by broader exosystem and macrosystem factors such as institutional assessment pressures, cultural attitudes toward errors, and students’ long-standing self-beliefs about English writing (Saghafi et al., 2017; Kasbi & Elahi Shirvan, 2017). Although the ecological classroom initially provided supportive affordances, such as peer collaboration and teacher scaffolding that temporarily alleviated students’ lack of confidence anxiety, this anxiety appeared to resurface after the intervention ended and suggested a return to habitual patterns of self-doubt and insecurity. Similar observations were reported by Li (2023), who noted that L2 learners’ affective states fluctuate dynamically within and beyond classroom contexts, influenced by a network of social and institutional forces. Hence, the absence of long-term effects highlights the need for unremitting ecological support extending beyond classroom boundaries, through continuous teacher encouragement, reflective feedback, and institutional recognition of process-oriented learning, to consolidate affective resilience and foster enduring confidence in L2 writing.

Conclusion

Distinct from previous studies merely describing the association of the ecological factors in the classroom with L2 writing anxiety (i.e., Saghafi et al., 2017), this study examined the effectiveness of pedagogical interventions through the construction and implementation of an ecological classroom for alleviating Chinese senior high school students’ L2 writing anxiety and improving their L2 writing performance. The results revealed that students in the ecological classroom experienced significantly lower overall writing anxiety, with reductions most evident in classroom teaching anxiety, conceiving anxiety, and avoidance behavior, and higher writing performance than those in the traditional classroom. Correlation analyses further confirmed a strong negative relationship between L2 writing anxiety and writing performance, which indicated that alleviating anxiety can effectively enhance students’ writing outcomes.

One major pedagogical implication is that teachers should foster an open, interactive, and student-centered learning environment that values collaboration, constructive feedback, and process-based writing. Encouraging peer interaction, reflective writing, and tolerance for errors can help L2 learners build confidence and view writing as a dynamic process rather than a source of pressure. By recognizing individual differences and creating emotionally supportive spaces, teachers can promote both linguistic and affective growth. However, the absence of sustained reductions in lack of confidence anxiety indicates that ecological support must extend beyond the classroom. Schools should align assessment practices, parental involvement, and extracurricular writing opportunities with the ecological emphasis on dynamics, openness, diversity and sustainability. Continuous teacher professional development in ecological pedagogy is also essential to help educators design lessons that address both cognitive and emotional needs. In doing so, L2 writing instruction can foster enduring confidence, motivation, and engagement among students.

Several limitations of this study should be noted. First, it did not examine how ecological classroom interventions affect students with different levels of L2 writing anxiety (i.e., high, moderate, low), which may result in varying degrees of responsiveness to the intervention and limit understanding of for whom the approach is most effective. Second, writing performance was assessed only through holistic scores, leaving the impact on specific components, including content, organization, language, and mechanics unclear. Third, the study did not examine the effectiveness of ecological classrooms from the perspectives of teachers, and this would undoubtedly limit understanding of the instructional challenges teachers face and their perceptions of the effectiveness of the intervention. Future research should therefore investigate the effects of ecological classroom across varying anxiety levels to tailor interventions to learners’ needs, and use componential assessment of writing performance to reveal which aspects benefit most. Combining teacher insights with student outcomes could provide a more comprehensive picture of the mechanisms underlying anxiety reduction and writing improvement, as well as inform practical strategies for designing and sustaining effective ecological classrooms.

Acknowledgments

We sincerely appreciate the students and English instructors who generously contributed their time and expertise to this study. Their responses and insights were invaluable to our research.

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Biodata

Xuan Teng is a lecturer at the Foreign Studies College, Hunan Normal University, China. He has experience teaching various subjects, including English teaching methodology, applied linguistics, and academic writing. His research interests include applied linguistics, TESOL, and computer-assisted language learning.

Qing Teng is a graduate student at Hunan Normal University, majoring in subject (English language) teaching. She has experience supporting English classes and helping students enhance their language proficiency through a range of instructional and interactive activities. Her research interests include second language acquisition, language pedagogy, and the integration of technology in English language teaching.


* This research was funded by the Joint Foreign Language and Scientific Research Project sponsored by Hunan Provincial Planning Office of Social Sciences, Hunan Province, China (Grant No. 23WLH03) to the corresponding author.

* This research was funded by the Joint Foreign Language and Scientific Research Project sponsored by Hunan Provincial Planning Office of Social Sciences, Hunan Province, China (Grant No. 23WLH03) to the corresponding author.

Daily writing prompt
What’s a thing you were completely obsessed with as a kid?

Academic Stress Among Lower Secondary School Students In The Context Of Educational Digital Transformation

Academic Stress Among Lower Secondary School Students In The Context Of Educational Digital Transformation

Hoàng Trung Thắng

Doctor of Education, Thai Nguyen University of Education, Vietnam

 Abstract

This study aims to analyze the theoretical foundations of academic stress among lower secondary school students in the context of educational digital transformation. Using a theoretical and analytical approach, the study synthesizes previous research to clarify the concept, characteristics, and influencing factors of academic stress in digital learning environments. The findings indicate that academic stress among lower secondary school students is influenced by multiple factors, including academic pressure, digital learning demands, technological conditions, self-regulation skills, and support from teachers and families. While digital transformation provides opportunities for personalized and flexible learning, it also introduces challenges that may increase students’ academic pressure and emotional difficulties. The study contributes to expanding the theoretical understanding of academic stress in digitally enhanced learning environments and highlights the need for comprehensive educational strategies to support students’ well-being. The findings also provide implications for educators and policymakers to develop supportive learning environments and improve students’ adaptability and resilience in the context of digital transformation in education.

Keywords: academic stress, lower secondary school students, digital learning environment, educational digitalization

Introduction

In recent years, academic stress has become one of the most common and concerning psychological issues among lower secondary school students. The lower secondary school stage is characterized by rapid development in cognitive, emotional, and social domains, during which students face increasing academic demands, examinations, parental expectations, and competitive learning environments. Numerous studies indicate that academic stress is closely associated with learning anxiety, school burnout, and decreased academic performance among students (Gao, 2023). Moreover, academic stress negatively affects students’ mental health, learning motivation, and behavioral outcomes, particularly during early adolescence when emotional regulation abilities are still developing (Zhao et al., 2024). In addition, recent studies suggest that academic stress among lower secondary school students has been increasing due to changes in educational environments and rising academic expectations. Academic stress not only affects academic achievement but is also associated with health-related behaviors such as reduced physical activity, decreased learning motivation, and increased negative emotional experiences among students (Zhao et al., 2025). These findings highlight academic stress as a critical factor requiring early research attention and intervention to ensure the holistic development of lower secondary school students. In the current context, digital transformation in education has brought profound changes to teaching, learning, and educational management. The integration of digital technologies, online learning platforms, and multimedia learning resources has expanded opportunities for flexible and personalized learning. However, digital learning environments also introduce new challenges related to academic pressure, information overload, and difficulties in time management. Novak et al. (2023) found that factors such as digital workload overload, limited face-to-face interaction, and challenges in self-regulated learning may increase students’ stress and frustration in digital learning environments. Furthermore, recent research emphasizes that in the digital era, students’ academic stress is influenced not only by academic content but also by digital learning environments, technology-related demands, and evolving instructional approaches. Wang et al. (2025) indicated that digital learning environments and modern educational contexts may intensify academic pressure while requiring students to develop stronger adaptability and emotional regulation skills. These findings suggest that academic stress in the context of digital transformation presents distinct characteristics and requires new theoretical approaches. Although numerous studies have examined academic stress among lower secondary school students, most research has focused on traditional causes, manifestations, and intervention strategies. Research addressing academic stress within the context of digital transformation remains limited. In particular, systematic analyses of how digital learning environments influence academic stress among lower secondary school students are still insufficient. Based on these considerations, this study aims to analyze the theoretical foundations of academic stress among lower secondary school students in the context of digital transformation in education. By synthesizing previous studies, this paper clarifies the concept, characteristics, and influencing factors of academic stress among lower secondary school students in digital learning environments, while also proposing research directions and educational implications to improve educational quality and support students’ holistic development in the era of digital transformation.

Results

The synthesis of previous studies indicates that academic stress among lower secondary school students in the context of digital transformation is influenced by multiple interconnected factors, including academic demands, digital learning environments, individual characteristics, and social support systems. The findings are organized into three main aspects: the characteristics of academic stress among lower secondary school students, the impact of digital transformation on academic stress, and key factors influencing academic stress in digital learning environments. First, previous studies highlight that academic stress among lower secondary school students is characterized by cognitive, emotional, and behavioral manifestations. At this developmental stage, students experience increasing academic expectations, more complex learning content, and greater performance pressure. Research suggests that academic stress often manifests as anxiety about academic performance, fear of failure, difficulty concentrating, and emotional exhaustion (Putwain, 2007). Additionally, prolonged academic stress may lead to school burnout, decreased motivation, and reduced academic engagement (Salmela-Aro, Kiuru, Leskinen, & Nurmi, 2009). These findings indicate that academic stress not only affects students’ learning outcomes but also influences their psychological well-being and long-term educational development. Furthermore, studies have shown that academic stress during early adolescence is closely related to developmental transitions, including changes in learning environments, peer relationships, and increased academic responsibilities. Eccles and Roeser (2011) emphasized that transitions into more demanding academic environments often increase students’ stress levels and emotional challenges. These developmental factors highlight the need to understand academic stress within the broader context of students’ developmental characteristics and educational experiences. Second, digital transformation in education has introduced new dimensions of academic stress for lower secondary school students. While digital technologies create opportunities for flexible learning and access to diverse educational resources, they also increase academic workload and cognitive demands. Research indicates that students in digital learning environments often experience information overload, increased screen time, and difficulties managing multiple digital learning tasks (OECD, 2021). These challenges may contribute to heightened stress levels, particularly among students with limited self-regulation skills. In addition, digital learning environments require students to develop independent learning and self-regulated learning skills. Studies suggest that insufficient self-regulation skills may lead to procrastination, time management difficulties, and increased academic pressure (Zimmerman, 2008). Moreover, limited direct interaction with teachers and peers in digital learning environments may reduce emotional support and increase feelings of isolation, which can further intensify academic stress among students (Borup, Graham, & Davies, 2013). These findings suggest that digital transformation not only changes learning modalities but also reshapes the nature of academic stress among lower secondary school students. Third, several key factors influencing academic stress in digital learning environments have been identified. These factors include individual characteristics, family support, school environment, and technological conditions. Individual factors such as self-efficacy, emotional regulation, and digital competence play a significant role in determining students’ ability to cope with academic stress. Students with higher levels of self-efficacy and emotional regulation skills tend to experience lower levels of academic stress (Bandura, 1997). Family support also plays an important role in reducing academic stress. Research indicates that supportive family environments contribute to better emotional well-being and lower academic stress levels among adolescents (Wang & Eccles, 2012). Additionally, school-related factors, including teacher support, learning environment, and assessment practices, significantly influence students’ academic stress levels. Teacher support and positive classroom environments have been found to buffer the negative effects of academic stress (Reddy, Rhodes, & Mulhall, 2003). Technological factors also influence academic stress in the context of digital transformation. Access to digital devices, internet connectivity, and digital literacy levels affect students’ learning experiences and stress levels. Students with limited access to digital resources may experience additional stress due to technological barriers and learning difficulties (UNESCO, 2023). Overall, the results indicate that academic stress among lower secondary school students in the context of digital transformation is a multidimensional phenomenon influenced by developmental, technological, and environmental factors. These findings highlight the need for systematic approaches to addressing academic stress and emphasize the importance of integrating psychological support, digital competence development, and supportive learning environments in lower secondary education.

Discussion

The findings of this study highlight that academic stress among lower secondary school students in the context of digital transformation is a multidimensional phenomenon influenced by developmental, technological, and environmental factors. The results confirm that academic stress is not only related to increasing academic demands but is also shaped by the rapid integration of digital technologies into teaching and learning. These findings are consistent with previous research indicating that academic stress among adolescents is closely associated with academic workload, performance pressure, and changes in learning environments (Putwain, 2007; Salmela-Aro et al., 2009). In the context of digital transformation, these traditional stressors are further intensified by new challenges such as digital workload, information overload, and the need for self-regulated learning skills. First, the findings emphasize that early adolescence is a critical period for understanding academic stress. Lower secondary school students experience developmental transitions that influence their emotional regulation, motivation, and learning behaviors. Eccles and Roeser (2011) highlighted that transitions to more demanding academic environments often increase students’ vulnerability to stress and emotional challenges. In digital learning contexts, these developmental challenges may become more complex, as students are required to adapt to new learning formats, manage digital tasks, and maintain motivation in less structured environments. Therefore, academic stress in the context of digital transformation should be considered from both developmental and educational perspectives. Second, the discussion highlights the dual impact of digital transformation on students’ academic stress. On the one hand, digital technologies provide flexible learning opportunities, access to diverse learning resources, and personalized learning experiences. These advantages can reduce stress by supporting students’ learning autonomy and improving academic engagement. On the other hand, digital learning environments may increase academic pressure due to increased workload, continuous online assignments, and expectations for independent learning. OECD (2021) reported that students in digital learning environments often experience challenges related to time management, task overload, and reduced face-to-face interaction. These challenges may contribute to increased academic stress, particularly for students who lack self-regulation and digital competence skills. Furthermore, teacher support remains an essential factor in reducing academic stress in digital learning environments. Although digital technologies enable flexible learning, effective learning outcomes still depend on teachers’ instructional strategies and emotional support. Research by Borup et al. (2013) suggests that teacher engagement and communication play a critical role in supporting students’ emotional well-being in online learning environments. Similarly, Reddy et al. (2003) emphasized that teacher support and positive classroom environments can buffer the negative effects of academic stress. These findings indicate that teachers play an important role in designing balanced digital learning activities, monitoring students’ learning progress, and providing emotional support. In addition, family support and technological conditions also influence academic stress in the context of digital transformation. Wang and Eccles (2012) found that supportive family environments contribute to better emotional well-being and lower stress levels among adolescents. In digital learning contexts, family support becomes even more important, as students often rely on home-based learning environments and access to digital resources. Moreover, technological inequalities, such as limited access to digital devices or unstable internet connections, may increase academic stress among students. UNESCO (2023) emphasized that digital inequality remains a significant challenge in implementing digital transformation in education. Therefore, addressing technological barriers is essential to reduce academic stress among lower secondary school students. Overall, the findings suggest that academic stress in the context of digital transformation should be addressed through comprehensive approaches, including improving digital competence, strengthening teacher and family support, and creating supportive learning environments. These strategies can help reduce academic stress while maximizing the benefits of digital transformation in education.

Conclusion

Academic stress is a significant psychological and educational issue affecting lower secondary school students, particularly in the context of digital transformation in education. The integration of digital technologies into learning environments has created both opportunities and challenges for students’ academic experiences. While digital learning environments provide flexible and personalized learning opportunities, they also introduce new sources of stress related to digital workload, information overload, and self-regulated learning demands. The findings of this study indicate that academic stress among lower secondary school students is influenced by multiple factors, including developmental characteristics, digital learning environments, teacher support, family support, and technological conditions. These factors interact to shape students’ academic experiences and emotional well-being in digital learning contexts. Therefore, addressing academic stress requires systematic and comprehensive approaches that integrate psychological support, digital competence development, and supportive learning environments. Furthermore, the study highlights the importance of strengthening teacher capacity, improving technological infrastructure, and promoting collaboration between schools and families. These efforts can help reduce academic stress and support students’ holistic development in the context of digital transformation. Despite the contributions of this study, further research is needed to examine academic stress among lower secondary school students in different educational contexts and to explore effective interventions for reducing stress in digital learning environments. Future empirical studies may provide additional evidence to support educational practices and policies aimed at improving students’ well-being and learning outcomes in the digital era.

References

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Eccles, J. S., & Roeser, R. W. (2011). Schools as developmental contexts during adolescence. Journal of Research on Adolescence, 21(1), 225–241. https://doi.org/10.1111/j.1532-7795.2010.00725.x

Gao, X. (2023). Academic stress and academic burnout in adolescents: A moderated mediating model. Frontiers in Psychology, 14, 1133706. https://doi.org/10.3389/fpsyg.2023.1133706

Novak, E., McDaniel, K., & Li, J. (2023). Factors that impact student frustration in digital learning environments. Computers and Education Open, 5, 100153. https://doi.org/10.1016/j.caeo.2023.100153

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Putwain, D. (2007). Researching academic stress and anxiety in students: Some methodological considerations. British Educational Research Journal, 33(2), 207–219. https://doi.org/10.1080/01411920701208258

Reddy, R., Rhodes, J. E., & Mulhall, P. (2003). The influence of teacher support on student adjustment. Journal of School Psychology, 41(1), 31–43. https://doi.org/10.1016/S0022-4405(02)00139-0

Salmela-Aro, K., Kiuru, N., Leskinen, E., & Nurmi, J. E. (2009). School burnout inventory: Reliability and validity. European Journal of Psychological Assessment, 25(1), 48–57. https://doi.org/10.1027/1015-5759.25.1.48

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Wang, M. T., & Eccles, J. S. (2012). Social support matters: Longitudinal effects of social support on three dimensions of school engagement from middle to high school. Child Development, 83(3), 877–895. https://doi.org/10.1111/j.1467-8624.2012.01745.x

Zhao, H., Han, M., Wang, Z., & Liu, B. (2024). School connectedness and academic burnout in middle school students: A multiple serial mediation model. Behavioral Sciences, 14(11), 1077. https://doi.org/10.3390/bs14111077

Zhao, X., et al. (2025). Relationship between middle school students’ academic stress and physical exercise behavior from the perspective of self-determination theory. PLOS ONE, 20(1), e0316599. https://doi.org/10.1371/journal.pone.0316599

Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183. https://doi.org/10.3102/0002831207312909

Wang, R., Yang, S., Xu, X., Mi, S., & Hao, N. (2025). Exploring adolescent academic stress in the digital and urban age: A mixed-methods study. Frontiers in Psychology, 16.

Daily writing prompt
What’s the most interesting local custom you’ve encountered?

Socio-Political Analysis of Land Deals in Uganda and Nigeria

Citation

Ezeme, P. E., & Ohabuenyi, J. (2026). Socio-Political Analysis of Land Deals in Uganda and Nigeria. International Journal for Social Studies, 12(2), 38–47. https://doi.org/10.26643/ijss/8

1Ezeme, Paulinus Ejiofor

Department of Political Science,

Faculty of the Social Sciences,

University of Nigeria, Nsukka

Email: paulinus.ezeme@unn.edu.ng

ORCID: https://orcid.org/0009-0005-3638-7360 

2**Jonas Ohabuenyi**

Department of Political Science, Faculty of the Social Sciences,

University of Nigeria, Nsukka

Email: jonas.ohabuenyi@unn.edu.ng  

ORCID: https://orcid.org/0009-0003-3614-7864

Corresponding author***

Abstract

Transparent transactions, the protection of ownership rights, investor security, and sustainable growth all depend on effective land management. With an emphasis on ownership rights, deal procedures, and investor protection, this study contrasts the legal systems controlling real estate transactions in Nigeria and Uganda. Using a doctrinal research approach, this study looked at a number of significant legal sources, including the Land Use Act of 1978 in Nigeria, the Land Act of Uganda, pertinent constitutional provisions, and court decisions. Secondary sources include reports and academic articles. Important results show that Nigeria’s centralised approach, which gives state governors control over property, has frequently resulted in power abuse and erected obstacles to profitable land investment. In contrast, Uganda’s Constitution recognises a number of tenure arrangements that improve transaction security by protecting individual rights, spousal consent, and public access to property registration data. Additionally, it ensures that its residents possess property. According to the study’s findings, Uganda’s strategy offers investors and landowners clearer protections and is more in line with international best practices. In order to boost investor confidence and lower the risk of litigation, it advises Nigeria to think about amending its Land Use Act to add clauses requiring spousal permission, boundary confirmations by nearby landowners, and harsher penalties for fraudulent transactions. Nigeria’s legal system would be enhanced by these changes, which would also make it more favourable to investment and sustainable land management.

Keywords: Land deals, Land Use Act, Land management, Legal structure, National development

Introduction

            Long-term national development depends on an efficient land management system that has an impact on the social, economic, and environmental facets of a country. Land administration is more than just managing ownership; it includes the intricate social, economic, cultural, technological, and legal frameworks that regulate how land is used, transferred, and maintained (Anierobi et al., 2024). In order to achieve societal benefits while safeguarding the rights of individuals, communities, and future generations, these frameworks are crucial. One of the fundamental ideas of land management is intergenerational equality, which highlights that land resources should not only benefit the current generation but also be preserved to meet the demands of future generations (Okpa et al., 2022). As urbanisation and population growth puts unprecedented pressure on land resources, especially in areas that are rapidly growing, this concept is becoming more and more crucial (Eze et al., 2022). Therefore, the primary objectives of national land administration laws and policies must be equitable distribution and sustainable management.Legal frameworks are essential for controlling land transactions in order to advance transparency, protect ownership rights, and enhance commercial security. Strong legal frameworks allow investors and stakeholders to do business with confidence because they know their investments are secure (Obasi et al., 2024). These frameworks also prevent fraud while promoting moral and lawful transactions. In regions with high land demand and frequent changes in land use, well-defined legal laws are required to ensure orderly urban expansion and lessen the risks associated with rapid urbanisation (Chinweze et al., 2024).In countries like Nigeria and Uganda, legal regulations specify the responsibilities, rights, and required documentation for real estate transactions. However, the structure, application, and enforcement of these laws varied widely according to a variety of historical, cultural, and political variables. Nigeria’s Land Use Act of 1978, for instance, grants state governors trustee authority over all land under their control (land Use Act, 1978). Although this paradigm was intended to promote fair land distribution and speed land administration, it has often led to the concentration of power in the hands of governors, who may have substantial control over the distribution and management of land. This centralised arrangement has raised concerns about accountability and transparency since governors can operate as de facto landlords rather than impartial guardians (Elias, 2024).Nonetheless, Uganda’s land management system has a number of tenure systems, each with its own set of rules and ownership rights, such as Mailo, Customary, Freehold, and Leasehold (Musinguzi et al., 2021). According to Magadze and Ajah  (2025), these institutions are intended to satisfy a range of social and cultural demands and are a reflection of Uganda’s colonial past. However, international investors who are not familiar with local laws and customs may find this variety of tenure regimes confusing (Ajah et al., 2025). With an emphasis on each nation’s legislative frameworks, this article seeks to provide a thorough legal study of land transfers in Nigeria and Uganda. To make wise choices and successfully negotiate the problems pertaining to property ownership, tenure, and rights in these two countries, investors must be aware of these distinctions.

In order to assess, interpret, and synthesise legal texts, principles, and reliable sources, this study uses a doctrinal research technique, which is frequently employed in legal studies (Osadebe et al., 2024). This issue is a good fit for doctrinal study since it enables a thorough examination of the existing legal frameworks governing land transfers in Nigeria and Uganda. Using this approach, the study examines the legislation and case law of each jurisdiction for significant parallels, discrepancies, and possible opportunities for reform. The investigation makes use of both primary and secondary materials.The fundamental legal rights and principles pertaining to property ownership and management are established by the constitutions of Uganda and Nigeria, among other significant sources that form the basis of this study. Two important laws that control land tenure, transactions, and property rights in each nation are the Land Use Act of 1978 in Nigeria and the Land Act (as amended) in Uganda. Secondary sources provide context, criticism, and more viewpoints for this analysis. A thorough grasp of the historical, social, and economic elements influencing land governance in many nations can be found in scholarly books, periodicals, novels, and reliable media coverage.

Legal Structures

Since it outlines the rights and obligations of both the government and its citizens, a nation’s legal system serves as the foundation for regulating land transactions. Because they promote fairness, efficiency, and transparency in land transactions, these frameworks are crucial to the development of the country and the defence of property rights. Inheritance, land ownership, transfer, and conflict resolution are just a few of the many topics covered by land laws (Ajah et al., 2025). In addition to protecting property rights, a well-designed legal framework encourages fair land allocation, investor confidence, and sustainable land management techniques. This section looks at the advantages, disadvantages, and adherence to international best practices of Nigeria’s and Uganda’s land transfer laws.

Uganda’s Legal Structure for Land Sales

With explicit legal criteria in the Land Act and the Constitution offering a solid foundation for land ownership and transfers, Uganda’s land deal regulations offer a more organised and transparent system than Nigeria’s (Gerald, 2021). In contrast to Nigeria’s model under the Land Use Act, which placed property ownership under the state, Uganda’s Constitution, specifically Article 237, grants land ownership to Ugandan citizens. This disparity reveals a basic difference in how land rights are distributed and administered in the two nations. Additionally, traditional, freehold, mailo, and leasehold land tenure are the four main categories recognised under Uganda’s Land Act of 1998 (Musinguzi et al., 2021). Because each of these tenure systems is governed by particular laws and regulations, land ownership and transactions are handled more carefully (Obala & Kitulazzi, 2024). It is essential for both landowners and investors to understand these differences since each kind of tenure has unique legal requirements, particularly with relation to succession, transfer, and registration.For example, the Land Act imposes restrictions on the Mailo land tenure, which is exclusive to Uganda and gives landowners everlasting ownership rights (Nabawanda, 2024). Only the legal processes specified in the Act may be followed for leasing or transferring Mailo land. According to Section 3(4) of the Land Act, all transfers must be formalised through the appropriate legal procedures to avoid disputes, and Mailo land must be registered to guarantee its legality (Isaac, 2023). Mailo tenure has its own set of difficulties, especially when it comes to the intricacies of land transfers and the history of land ownership under this tenure type, in contrast to freehold land, which gives comparable but typically simpler ownership rights (Musinguzi et al., 2021).

Nigeria’s Legal Structure for Land Sales

            Land transactions in Nigeria are governed by both statutes and customary law. The most significant of them are the Land Use Act of 1978, the Federal Republic of Nigeria Constitution, and several state-level laws.
The Land Use Act, which grants state governors ownership of all the country’s land in trust for the people, is a significant component of Nigerian law. This Act significantly alters the traditional land ownership arrangement, which was formerly governed by customary law. Because the Land Use Act grants the governor the power to grant land use rights to people and groups, the government is heavily involved in land transactions (Derri & Egemonu, 2022). However, the Act’s centralisation of land rights and the abuse of this power by state governors have come under heavy fire (Makata & Udobi, 2024). The state governor’s concentration of authority has led to issues with corruption and abuse, despite the Act’s efforts to prevent land hoarding and guarantee fair distribution.
In addition to the Land Use Act, Nigeria’s customary land laws continue to play a significant role in land transactions, particularly in rural areas. Regional norms and traditions serve as the foundation for these rules, which regulate property ownership, inheritance, and transfer among communities. Despite the fact that customary law often provides a more flexible and localised approach to land transactions (Chigbu et al., 2021), its absence of formal documentation can lead to disputes and challenges when formalising property transactions. When statutory law and customary law coexist, it is challenging to guarantee uniform enforcement, particularly when disputes arise between parties that adhere to different legal systems (Nwocha, 2016).
In addition to the Land Use Act, two more laws that affect land transactions in Nigeria are the Property and Conveyancing Act and the Nigerian Land Title Registration Act (Abraham, 2023). In order to ensure that ownership is properly documented and recognised by the state, these laws, along with a number of state laws, establish procedures for registering property titles. However, these rules are administered unevenly due to problems including corrupt land administration agencies and inefficient land registration processes.

Contemporary Land Deal Processes

To ensure legal compliance and safeguard the rights of both buyers and sellers, modern real estate transactions must strictly conform to a range of national laws, rules, and due diligence procedures (Dieterle, 2023). The complexity of these transactions, which can include numerous verification procedures and discussions, increases in tandem with the value of land. The main stages of contemporary land deals are broken down as follows:

Searching the land registration is one of the most crucial procedures in the transaction process. According to the Trusted Advisors, the search is conducted at the land registry office and verifies the property’s ownership history, ensuring that the seller is the legitimate owner and that there are no disputes or claims from third parties. The search also turned up encumbrances like mortgages, liens, or unpaid taxes that could legally tie the land and limit its transferability. Completing this critical step is necessary to establish a clean title, which is a title free of any legal barriers to ownership.
Verifying that the corporation is legally registered and has the authority to sell the property is essential if the landowner is a corporation. For example, in Nigeria, this process comprises a search with the Corporate Affairs Commission (CAC) to confirm that the corporate entity is in good standing, has not been dissolved, and that its representatives are legally allowed to act on its behalf in the transaction (Corporate Affairs Commission, 2022). According to the Commission, this step lessens fraud and illegal activities by ensuring that the transaction is conducted with a reputable, legally authorised business. It is typically advised to involve legal experts in these verifications to avoid problems. In other countries, comparable investigations are carried out with the relevant authorities.
Hiring a skilled surveyor to confirm the exact boundaries of the property is necessary for a thorough understanding of the land being transferred (Reed, 2021). Surveyors conduct field assessments to ensure that land measurements match official records and to mark and confirm boundary lines in compliance with government-approved survey plans. According to Çağdaş et al. (2023), inaccurate border demarcation may lead to disputes with neighbouring property owners and, in some cases, legal action. By preventing further encroachments, boundary verification also enables the purchase to legally and physically defend the land.
In certain places, particularly those with significant community or customary land rights, it is frequently required to consult local stakeholders, such as surrounding landowners, community leaders, or traditional authorities (Notes et al., 2021). For instance, in many rural African areas, the consent of a village chief or other community leader increases the agreement’s legitimacy and helps prevent future disputes with the local populace (Ndi, 2022). This consultation may involve formal discussions, agreements, or, in some cases, getting express written authorisation to proceed with the sale. This stage is especially crucial in transactions involving land that was formerly governed by customary law since such land may have unwritten obligations or access rights.
Legal counsel is highly recommended to manage the intricacy of land regulations and protect the buyer’s rights. Attorneys can assist in confirming that the deal paperwork is examined, the title is genuine, and all procedural requirements are met (Stark & Llorente, 2024). Certain transactions, especially those involving valuable assets, may also require financial appraisals. Financial due diligence helps ensure that the acquisition price is fair and that there are no hidden financial obligations, such as unpaid property taxes or outstanding loans associated with the property.
Fulfilling specific regulatory criteria, which may vary depending on the locality, is a common prerequisite for modern land purchases. These include acquiring government clearances, adhering to zoning laws, and gaining environmental approvals if the land will be utilised for commercial development (Dixon, 2021). In certain jurisdictions, paying taxes or stamp fees is necessary for a transaction to be performed legally. The likelihood of fines, penalties, or other legal problems with regulatory authorities is decreased by adhering to these rules.When combined, these processes reduce the possibility of fraudulent property transactions, shield buyers from potential issues, and offer a straightforward and safe route to ownership. Legal and real estate experts should be consulted by investors, particularly if they are unfamiliar with local regulations or are new to a certain market.

Conclusion and Recommendations

The legal systems of Uganda and Nigeria both offer fundamental frameworks for land transactions, but substantial changes are needed to improve their efficacy, guarantee fair land allocation, and encourage sustainable land management. By addressing the differences in land registration, bolstering enforcement strategies, and boosting transparency, both nations’ land laws will be in line with global best practices. Both people and investors will benefit from a more stable and secure land tenure environment as a result.
In order to verify the validity of property boundaries during land transfers, Ugandan law requires boundary neighbours to sign documents and provide information from their national identity cards. Boundary disputes are prevented and unambiguous borders are established thanks to this need. Nigeria ought to implement a similar law requiring boundary neighbour verification before buying real land.
In order to ensure balanced family rights and forbid unilateral actions that would endanger the family’s financial stability, Uganda’s legal system contains a clause demanding spousal approval when a husband is the vendor in a land transaction. Nigerian lawmakers ought to think about enacting a comparable law. Family assets would be safeguarded by requiring spousal consent for real estate transactions involving married people.
Nigeria lags behind other nations that regularly modify their legal frameworks to satisfy modern demands because its land laws, especially the Land Use Act of 1978, have essentially remained untouched since their creation. It is recommended that Nigerian lawmakers give careful review and revision of these laws top priority in order to establish a more effective and investor-friendly legal environment for real estate transactions.
While Nigeria’s land is controlled by the government under the Land Use Act, which occasionally disadvantages locals, Uganda’s Constitution grants its residents the right to own land. In addition to bringing Nigeria into line with Uganda’s strategy, a constitutional amendment granting Nigerians direct land ownership rights will boost individuals’ sense of accountability and lessen bureaucratic inefficiencies in land administration.
Uganda’s RTA keeps prospective buyers from inadvertently acquiring contested land by enabling parties with reservations about a real estate transaction to record a caveat with the land registry and inform the public of any continuing conflicts. It is advised that Nigeria implement a comparable caveat procedure, which would make it simple for buyers to obtain this information before closing a deal and for interested parties to issue caveats.

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Daily writing prompt
Do you vote in political elections?

Socio-Cultural Determinants of Drug and Substance Use among Pregnant Women in Nigeria: A Literature Review

Citation

Okeke, N. C., Ohachenu, I. E., & Ojiochie, J. A. (2026). Socio-Cultural Determinants of Drug and Substance Use among Pregnant Women in Nigeria: A Literature Review. International Journal for Social Studies, 12(2), 21–37. https://doi.org/10.26643/ijss/7

1Ngozi Chinenye Okeke, 1Ifeoma Elizabeth Ohachenu, 2Joshua Akaolisa Ojiochie,

 cng.okeke@unizik.edu.ng;  ie.ohachenu@unizik.edu;  jakaolisa8@gmail.com

1 Department of Sociology, Nnamdi Azikiwe University, Awka, Anambra State.

2Department of Sociology, Caritas University, Amorji Nike Enugu State

Corresponding author: 1Ngozi Chinenye Okeke, Department of Sociology, Nnamdi Azikiwe University, Awka, Anambra, Nigeria. Email: cng.okeke@unizik.edu.ng. ORCID number: 0000-0001-6636-5166

Abstract

The increasing prevalence of drug and substance use among pregnant women poses significant risks to maternal and fetal health, particularly in developing countries like Nigeria. Drawing on the body of existing research, including publications and articles, this theoretical paper attempts to investigate the determinants of drug and substance use among pregnant women in Nigeria. The Social Learning Theory (SLT) is adopted as the theoretical framework. This paper identifies important factors that affect drug and substance use among pregnant women in Nigeria. Through a thorough analysis of secondary data. These factors include maternal age, partner/husband and maternal education level, monthly income, occupation, partner/husband’s substance use, healthcare access, maternall age, socioeconomic status, lack of awareness, societal stigma, place of residence, stress, and cultural beliefs.  The study also addresses the effects of drug and substance use on pregnancy outcomes and emphasizes the necessity of focused treatments and legislative changes. To reduce drug and substance use among pregnant women, this paper advocates that the government and non-governmental organizations should consider subsidizing the cost of antenatal medications, community engagement, enhancing public health initiatives, and educational programs aimed at reducing drug use and improving maternal and child health outcomes.

Keywords: Drug use, Maternal health, Nigeria, Pregnant women, Substance use,

Introduction

A drug is any substance, typically of a chemical type, that alters or changes the user’s physiological or psychological state. Both medical and non-medical justifications are given for drug use. However, the time, method, and purpose of drug use can all have an impact on the user, both positively and negatively. Drug use, abuse, and misuse are all possible  (Olofintuyi et al, 2019). According to Mohammed et al. (2025), substance use is the use of harmful stimulants, such as alcohol, tobacco products, caffeine, khat leaves, illegal drugs, inhalants, and other substances that can be ingested, inhaled, injected, or absorbed into the body. These substances can cause dependence and have negative effects on physiological, mental, physical, or emotional functions. Pregnancy and unborn infants are affected since a sizable part of the females who engage in this behavior are of reproductive age. These substances may be self-prescriptions, medications provided by doctors or pharmacists, or behaviors inherited from their mothers or other family members (Atiba et al, 2023).

Pregnant women, like their non-pregnant counterparts, seem to abuse a variety of drugs and substances. Commonly used over-the-counter medications, as well as substances like caffeine, alcohol, cigarettes, stimulants, sedatives, and several other illegal substances, can have long-lasting effects on an unborn child. These substances are as harmful to fetal development as illegal drugs like marijuana, cocaine, and methamphetamine (Sulyman et al., 2021). Pregnant women may use these substances for a variety of reasons, such as easing symptoms that are more prevalent in the first trimester, controlling nausea and vomiting, improving the quality and volume of their blood, helping their babies sleep better, lowering pain, and improving the babies’ weight, among other reasons (Atiba et al 2023, Sulyman, et al, 2021).

Child mortality, perinatal morbidities, and congenital abnormalities are associated with substance use during pregnancy, and these risks are exacerbated by inadequate prenatal care (Lee et al., 2023). For example, if pregnant women consume crystal meth or marijuana, the fetus will also be impacted. Additionally, the woman is endangering not only her own life but also the health of the unborn child if she is addicted to cocaine, also referred to as coke, snow, or blow. Seizures, heart attacks, strokes, and respiratory failure are all potential consequences of cocaine usage. It has been determined that the main way pregnant women are exposed to unintentional caffeine intake is through the careless consumption of all meals and beverages. For instance, they may be exposed to accidental caffeine consumption if they consume kola nuts and certain so-called cola drinks (Lee et al., 2023).

One of the major risk factors for global health, according to the World Health Organization (WHO, 2018), is hazardous alcohol consumption and substance use. These behaviors directly affect several SDGs’ health-related targets, such as maternal and child health, infectious diseases (HIV, viral hepatitis, and tuberculosis), and non-communicable diseases like mental health, injuries, and poisonings. WHO (2018). According to a 2018 World Health Organization report, approximately three million people died in 2016 as a result of alcohol and other substance abuse. They also showed that alcohol use caused 26.1 million disability-adjusted life years (DALYs) and 0.7 million deaths among women. Mortalities from alcohol (including drug and other substances) were higher than those from HIV/AIDS, diabetes, and tuberculosis. WHO (2018) in 2025, Pregnancy-related substance use varies from 2.2% to 36.5% in Sub-Saharan Africa (15–17) and from 11.3% to 60% in East African nations, such as Ethiopia (18–23). 1.53 percent of people reported regularly using alcohol, cocaine, and marijuana, 0.51% exclusively using marihuana, and 0.51% only using crack (Olofintuyi, 2019).

In Nigeria, 18.28% of expectant mothers reported abusing drugs, including alcohol, cigarettes, and illegal substances like cocaine and marijuana. Additionally, 44–65% of prescription drugs were considered dangerous during pregnancy, which can lead to fetal complications like low birth weight and stillbirth (Onah et al., 2023, Kassada et al., 2013). Codeine and tramadol were the most misused substances, according to a study conducted in northern Nigeria that reported a 9.3% prevalence of psychoactive substance use disorders among females (Ibrahim et al., 2018). Pregnancy-related substance use is greatly influenced by many sociocultural factors, such as maternal age, income, education, and access to healthcare. Studies show that women who are unintended mothers and those who lack access to healthcare are more likely to take drugs, and that younger mothers, especially those under 20, are linked to higher rates of substance use (Tabatabaei et al., 2018). A key factor is educational attainment; higher education frequently results in improved health-seeking behaviors, while lower education levels are associated with increasing substance use (Horan et al., 2024). Higher rates of substance use are also associated with financial restrictions, such as an annual income below $20,000 (Horan et al., 2024). The domicile is also important, as rural women have a harder time getting support and medical care (Tabatabaei et al., 2018). Additionally, cultural views and interactions with intimate partners can either reduce or increase substance use, underscoring the intricate interaction of socio-cultural factors in this situation (Berra et al., 2019).

In Nigeria, interventions like the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) which was created under the World Health Organization’s (WHO) umbrella and is culturally neutral, is available to screen for the use of the following substances: alcohol, cannabis, cocaine, tobacco products, amphetamine-type stimulants, sedatives and sleeping pills (benzodiazepines), hallucinogens, inhalants, opioids, marijuana, and “other drugs.” Despite these initiatives, substance use is on the rise among Nigerian women, and it has been a serious health concern during pregnancy.  Health care practitioners are reportedly not regularly screening pregnant women for drug and substance use, despite this concerning reality. Although the antenatal clinic offers frequent screenings for certain physical disorders (such as diabetes and anemia), health care practitioners are hesitant to screen for drugs (Adebowale et al., 2018). The dearth of research on drug and substance use among pregnant women is problematic since it makes it more difficult to develop effective policies and treatments. It is crucial to perform this research in particular settings and locales since country-specific differences in drug and substance trends may dictate the kind of laws and services required locally. However, to the best of the authors’ knowledge and search, there aren’t many previous studies that have tried to identify the different factors that influence drug and substance use among pregnant women in Nigeria. To fill this research gap, the purpose of this study is to identify the socio-cultural determinants of drug and substance use among pregnant women in Nigeria.

     Review of Relevant Literature/Conceptualization of Key Terms

Pregnancy

Pregnancy is a dynamic process in which anatomic and physiological changes occur from fertilization to parturition (Suleyman et al., 2022). Pregnancy is a delicate time, and any mistakes made during this time could have short-term or long-term negative effects on both the mother and the unborn child. Since the majority of drugs cross the placental and hematoencephalic barriers without any prior metabolization, drug use complications are not limited to pregnant women; they also affect the fetus. These substances specifically affect the fetus’s central nervous system, resulting in cognitive deficits, deformities, abstinence syndromes, and other problems in the newborn (Olofintuyi, 2019).

Drug use

Pregnancy-related drug use includes both legal and illicit substance use, which can have a serious negative effect on the health of the mother and fetus. According to Confino and Gleicher (1985), it is the administration of any chemical substance that has the potential to have negative effects, regardless of whether it is utilized for therapeutic objectives. To protect the safety of both the mother and the fetus, pregnant women frequently need to take medications for a variety of medical issues, which calls for careful evaluation of the USFDA drug risk categories (Geetha et al., 2024).

Substance Use

The complex biopsychosocial phenomena of substance use have been characterized in a variety of ways throughout history and across academic fields. The World Health Organization (WHO, 2010) defines substance use as the use of psychoactive substances, such as alcohol, tobacco, illegal drugs, and prescription pharmaceuticals, in a way that can result in dependence, negative societal effects, or health issues. Strong cravings, less control over use, physiological withdrawal symptoms, tolerance building, disregard for other pleasures, and continued use in the face of harm are all signs of substance use. Alcohol, opioids, stimulants, and cannabis are examples of chemicals that can cause substance use disorders (SUDs) when consumed compulsively despite negative consequences. Substance use during pregnancy is a serious health concern that includes the use of alcohol, tobacco, cannabis, and other illegal drugs, and can have negative effects on the health of both the mother and the fetus. The prevalence of SUDs among women of reproductive age is alarming, with high rates of alcohol and drug use, especially among those between the ages of 18 and 29 (Prince & Ayers, 2023). The most commonly used substance during pregnancy is tobacco, followed by alcohol and cannabis, and polysubstance use is common (Forray, 2016; Prince & Ayers, 2019).

Drug and Substance Use among Pregnant Women

There are serious public health issues associated with drug and substance use among pregnant women; numerous studies have shown how common these behaviors are and the negative effects they can have. Substance abuse and drug use during pregnancy are complicated issues that have a big impact on the health of the mother and the fetus. Substance abuse during pregnancy is an increasing global concern, while prevalence varies by region and population. According to Forray (2016), tobacco is the most commonly used substance, followed by alcohol, cannabis, and other illegal substances. In the United States, more than 4.4% of pregnant women report abusing one or more substances. The prevalence of substance use disorders (SUDs) is particularly high among women of reproductive age, and the risks are higher during pregnancy, especially for those who use alcohol, tobacco, and cannabis (Prince  & Ayers, 2023).

The National Survey on Drug Use and Health indicates that while pregnant women exhibit lower rates of illicit drug use compared to non-pregnant women, polysubstance use remains a concern, with nearly one-fifth of substance-using pregnant women engaging in multiple substance use (Board et al., 2023). The co-use of tobacco and other drugs exacerbates health risks for both mother and fetus, necessitating comprehensive screening and integrated treatment approaches that address both substance use and mental health (Board et al., 2023). Barriers to treatment, including socioeconomic factors and stigma, hinder access to necessary care, underscoring the need for tailored interventions to support this vulnerable population (Prince & Ayers, 2023). Multiple substance use during pregnancy is a typical occurrence that frequently co-occurs with environmental stresses and psychological disorders. This may exacerbate adverse effects and make maternal and fetal health more difficult (Forray, 2016).

Theoretical framework

Social Learning Theory (SLT)

Social Learning Theory (SLT), developed by Albert Bandura, posits that social environments teach people habits through imitation, reinforcement, and observation. Pregnant women’s drug and substance usage can be explained by this hypothesis since social models, including peers, family, and the media, frequently shape their behavior. For example, if a pregnant woman has been exposed to a culture that normalizes substance use, such as witnessing her parents, boyfriends, or friends take drugs, she may emulate similar behaviors because she believes they are acceptable or even helpful for relieving stress. Furthermore, she might continue using drugs despite the risks if doing so is rewarded by social approval or momentary emotional comfort. On the other hand, substance use may be further reinforced if there are no obvious negative repercussions (such as not seeing others experience unfavorable pregnancy outcomes). Glamorized depictions of drug or alcohol use in the media can potentially influence public opinion by downplaying its negative effects during pregnancy. Additionally, addiction might persist in the absence of significant social support or positive role models due to low self-efficacy, which is a lack of confidence in one’s capacity to stop. Although SLT places a lot of emphasis on social and environmental factors, it frequently ignores the biological and psychological aspects of substance use. Hormonal changes, genetic susceptibilities to addiction, and mental health issues (such as anxiety or depression) can all contribute significantly to drug dependence in pregnant women, and SLT does not adequately account for these aspects.

Socio-cultural determinants of drug and substance use among pregnant women

Partner/husband’s substance use

Partner/husband’s substance use is one of the major determinants of drug and substance use among pregnant women, according to a study (Voutilainen et al., 2022). Substance abuse by a partner is a strong predictor of increased maternal alcohol use during pregnancy. A study found that reduced prenatal alcohol intake among pregnant women is associated with higher partner influence, including substance use and relationship satisfaction (Voutilainen et al., 2022; Mburu et al., 2020). Intimate relationships have a big impact on pregnant women’s drug use and frequently mediate their choices. Due to the complicated dynamics involved, some women started using drugs to achieve perceived relationship standards, while others experienced conflict when their spouses objected to their drug use (Mburu et al., 2020). Substance abuse by a father is thought to be a predictor of continued substance use issues for his partner and kids because it can make it more difficult for the mother to stop using drugs and compromise her ability to provide emotional and physical support throughout pregnancy and the first few years of motherhood (Voutilainen et al., 2022; Mburu et al., 2020).

Maternal age

The age of the mother has a substantial impact on pregnant women’s substance usage, with different age groups showing varied patterns. Younger and older women had considerably different predictors of alcohol use during pregnancy, which reflects different social and contextual factors. Research shows that younger pregnant women, especially those under 25, are more likely to drink alcohol in a risky manner and are more likely to have risk factors such as mental health disorders and unemployment (Genna et al., 2017). Once more, younger pregnant women, especially those between the ages of 20 and 25, had greater rates of risk factors such as being single, giving birth for the first time, smoking, and having depressive symptoms. These factors are also associated with higher alcohol use (Genna et al., 2017). According to Meschke et al. (2013) & Genna et al. (2017), adolescent and young adult mothers are more susceptible to dangerous drinking behaviors due to peer alcohol use and coping reasons, which are diminished in older mothers. Both age groups require focused efforts to reduce prenatal alcohol exposure because older mothers’ alcohol consumption is less predictable than that of younger mothers, who confront numerous recognized risk factors (Meschke et al. 2013).

Socioeconomic Status

Several studies have shown that pregnant women’s substance usage is highly influenced by their monthly income, indicating the socioeconomic factors at work. Those who are unemployed or underemployed are more likely to use drugs like crack and cocaine, and pregnant women with lower incomes frequently experience more pressures as a result (Almeida et al., 2021). Higher education and early prenatal care are two positive demographic and behavioral traits that are typically seen in employed women and are linked to decreased rates of substance use during pregnancy. According to Miller et al. (2023), women without jobs, on the other hand, frequently have worse health outcomes and more financial hardship, which raises their rates of substance use. The socioeconomic context has a significant impact on substance use behaviors, as evidenced by a study that found women with opioid use disorder (OUD) in rural areas, who frequently face financial difficulties, exhibited different substance use patterns from their urban counterparts (Miller et al., 2023).

According to Kuo et al. (2017), substance use was also identified by women who are in poverty as a widespread problem that was frequently connected to their social settings and unstable financial situations.  The financial strain of substance abuse exacerbates the cycle of poverty and addiction by leading to worse newborn outcomes and increased maternal hospital costs. Therefore, lowering pregnant women’s substance use and enhancing maternal and newborn health outcomes depend heavily on addressing income disparities (Kuo et al., 2017). Another study found that women with lower levels of education used kola nuts far more frequently. Compared to women with higher levels of education, the higher rates among those with less education may be the result of their inadequate understanding of foods that are safe to eat during pregnancy. It might also be a reflection of the low socioeconomic standing of less educated women who would not have the money to visit PHCs and TBA clinics for treatment of symptoms like nausea and vomiting, which would lead to a greater use of kolanut in these facilities (Atiba et al., 2023).

Place of residence

Substance use among pregnant women is strongly influenced by where they live, with major differences between rural and urban populations. Pregnant women in rural areas are 8.4 times more likely to report illicit opiate use than their urban counterparts, and studies show that they also have higher rates of injectable drug use, illicit opiate use, and polysubstance use (Shannon et al., 2010). According to Jumah (2016), rural women frequently encounter particular difficulties, like restricted access to healthcare and treatment programs, which might worsen substance use disorders. In contrast, pregnant women in metropolitan areas are more likely to perceive that their prenatal care is insufficient (Miller et al., 2023). Living in a rural or regional area is linked to increased alcohol use during pregnancy because these women are less likely to have access to specialized obstetric hospitals and treatment programs, which affects their general health and involvement in prenatal care. (Burns et al., 2011)
Lack of awareness

Drug and substance usage during pregnancy is greatly influenced by a lack of knowledge, which can have negative health effects on both the mothers and the fetuses. Evidence shows that most pregnant women are unaware of how drugs and other substances affect the health of the fetus; for example, in one study, nearly 91% of participants were unaware of the effects of drugs on the fetus (Banzal et al., 2017). Additionally, 59.2% of pregnant women are not aware of the possible health concerns associated with endocrine-disrupting substances (Okman & Yalçın, 2024). The problem is made worse by the stigma and fear of legal consequences that prevent substance-using women from getting the help they need (Stone, 2015). To mitigate these risks and promote safer behaviors among expectant mothers, it is essential to raise awareness through targeted public health campaigns.

Stress

Stress is one of the major factors in substance use among pregnant women, emphasizing the link between substance use and psychological discomfort. High levels of stress during pregnancy are linked to higher odds of antenatal substance use, such as alcohol and tobacco, especially for mothers who were born in the United States as opposed to those who were born abroad (Surkan, 2022). Serious psychological distress (SPD) has also been associated with increased substance use frequency and quantity; pregnant women with SPD report substantially more days of alcohol, cannabis, and tobacco use (David et al., 2023). Stressors before and after childbirth might worsen drug use problems, as evidenced by the fact that negative childhood experiences and recent stressful life events have been demonstrated to increase postpartum substance use rates (Stewart et al., 2023). Stress and drug use may interact in a complex way during the perinatal period, as longitudinal studies show that although stress may decline throughout pregnancy, it frequently resurfaces after delivery, correlating with an increase in substance use (Wu et al., 2021). Therefore, interventions aimed at reducing stress may be essential in reducing pregnant women’s risks of substance use.

Limited access to health care/Societal Stigma      

Social stigma has a significant influence on pregnant women’s substance use since it makes treatment difficult and makes them feel alone and unworthy. Self-efficacy and the conviction that these women should receive care are undermined by stigmatization, which frequently results in the idea that addiction is a moral failing rather than a medical condition (Shank et al., 2024). According to Wolfson et al. (2021), societal stigma affects substance use among pregnant women by erecting obstacles at the individual, interpersonal, institutional, and population levels. These obstacles lead to feelings of fear, shame, guilt, and mistrust of services, as well as the perpetuation of negative stereotypes and high organizational expectations. These factors ultimately make it difficult for pregnant women to receive the necessary treatment support and cause underreporting of substance misuse. As a result, many pregnant women who struggle with substance use disorders might delay getting treatment, which could worsen their diseases and put them and their unborn children at greater risk (Stephenson et al., 2024).

Substance-using mothers are stigmatized by cultural attitudes that frequently blame them for birth abnormalities while ignoring paternal involvement. This prejudice affects how these women are supported and how treatment is perceived in society, which feeds into unfavorable stereotypes (Babcock, 2008). The problem is further exacerbated by the stigma attached to substance use during pregnancy, which frequently causes women to withdraw and put off getting the help they need.  (Stone, 2015). Pregnancy interventions against alcohol use are made more difficult by cultural beliefs that strongly influence substance use among pregnant women by ingraining alcohol consumption into daily routines, encouraging the idea that homemade alcohol is harmless, and creating drinking-supporting social norms (Pati et al., 2018).

Adverse effects of drug and substance use

Drug and substance use during pregnancy has serious and complex negative impacts on the health of the mother and the fetus. Preterm birth, low birth weight, and neonatal abstinence syndrome are among the serious consequences that can result from substance use disorders (SUDs), which are common during pregnancy. Significant rates of alcohol, nicotine, and opiate use have been documented (El-Nahas & Thibaut, 2023). Pregnancy-related physiological changes may change how drugs are metabolized, raising the chance of developing life-threatening disorders such maternal dysrhythmias and placental abruption for both the mother and the fetus (Barry et al., 2021). Additionally, the increase in pregnancy-associated deaths linked to drug use highlights the pressing need for efficient screening and intervention methods (El-Nahas & Thibaut, 2023).  Neurocognitive and behavioral problems are among the long-term effects of substance exposure in utero for infants, which calls for a multidisciplinary approach to care that takes into account both substance use and mental health approach to care that takes into account both substance use and mental health approach to care that takes into account both substance use and mental health (El-Nahas & Thibaut, 2023;Barry et al., 2021).

Measures towards reducing drug and substance use among pregnant women

A multidimensional strategy including screening, behavioral interventions, and specialized treatment choices is used to prevent drug and substance use among pregnant women. Various guidelines promote screening and counseling as crucial techniques to detect and treat substance use in pregnant women. They emphasize the importance of integrated care approaches to address mental health and substance use disorders (Prince & Ayers, 2023).  In addition to providing brief therapies, such as motivational interviewing and cognitive behavioral therapy, to address alcohol and drug dependence, healthcare practitioners are urged to regularly screen for substance use during prenatal visits using approved tools (Ordean et al., 2017). Research indicates that behavior modification strategies including social support and action planning, can successfully lower alcohol intake during pregnancy (Fergie et al., 2019). Moreover, opioid-dependent pregnant women should be treated with opioid agonists such as buprenorphine or methadone, and tobacco users should be provided with smoking cessation therapies and psychosocial support (Ordean et al., 2017).

 Discussion of key issues

The problem of substance use in pregnant women is complex and influenced by several interconnected factors. Women with less education are frequently unaware of the serious risks drugs pose to fetal development, such as birth abnormalities and developmental delays and their degree of education is important. A general lack of knowledge or information exacerbates this issue; many pregnant women wrongly think that occasional drug or alcohol use is harmless, while others are ignorant of the available support options. Additional obstacles are brought about by societal stigma, as women are deterred from seeking help and continue to use drugs due to fear of criticism from medical professionals or legal consequences like losing custody of their children.

Geographical location also plays an important role because a woman’s residence may either increase her exposure to drugs or restrict her access to treatment; for instance, urban regions may have greater drug availability, but rural areas typically lack specialized rehabilitation centers. Limited access to healthcare exacerbates the issue, as many expecting moms miss out on crucial opportunities for early intervention due to financial constraints, transportation issues, or just a lack of addiction treatment programs that are customized to meet their specific needs.  Economic issues such as low income and unemployment can cause more stress, which can subsequently trigger drug usage as a coping mechanism. However, even women who work in low-paying, high-stress jobs may turn to drugs as a coping strategy.  Pregnancy-related substance use is a chronic public health concern that calls for all-encompassing, multidimensional solutions that close the knowledge gap, lessen stigma, increase access to healthcare, offer financial assistance, and include partners in the healing process.  Drug use by a spouse or partner may be one of the most significant variables as it can normalize substance use in the family and put pressure on others to continue engaging in addictive behaviors.  Women who have substance-using partners frequently have more difficulty quitting, particularly if their partners don’t support their efforts to stay sober.  If these problems are not addressed, there may be detrimental effects on the mother’s and the child’s health as well as their future well being

Conclusion

Drug and substance use among pregnant women in Nigeria is a multifaceted issue influenced by sociocultural, economic, and systemic factors, requiring a coordinated response from government agencies, healthcare providers, community leaders, NGOs, families, and the media. Effective strategies must include stigma reduction through community education, poverty alleviation via economic empowerment, culturally sensitive health interventions, improved antenatal care with substance abuse screening, and stronger policies regulating harmful substances while protecting vulnerable women. Sustainable progress hinges on collaborative efforts, adequate funding, and tailored programs that respect local traditions, with a recommended national task force ensuring unified action and long-term impact on maternal and child health outcomes.

Recommendation

Based on the paper the following recommendations were made

  • The National Agency for Food and Drug Administration and Control (NAFDAC) ought to regulate the dangerous drugs and herbal concoctions sold to expectant mothers.
  • Policies (such as subsidized cost of antenatal care) which protect expectant mothers from substance-related damage should be promoted by the Ministry of Women Affairs & Social Development.
  • Medical professionals should educate pregnant women about the dangers of substance use and screen them for substance use. Some women overcome these challenges by building resilience through positive self-identities and support systems, underscoring the need for trauma-informed care approaches that prioritize compassion and empathy.
  • Mental health specialists ought to provide pregnant women who use substances with addiction treatment, counseling, and psychosocial support.
  • Traditional authorities, religious leaders, and faith-based organizations ought to speak out against harmful cultural behaviors (such using kola nuts during pregnancy) and stigmatization. They can also encourage assistance for women who are affected.
  • Door-to-door awareness campaigns should be carried out by Community Health Workers (CHWs) to provide pregnant women with sufficient information regarding the negative consequences of drug and substance use.
  • Husbands and other family members should refrain from encouraging substance abuse and provide emotional support to expectant mothers.
  • Future healthcare professionals should receive training on managing maternal addiction from medical and nursing schools.

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The Comparative Assessment of Nigerian and Ugandan Gender Policies

Citation

Ezeme, P. E., & Ohabuenyi, J. (2026). The Comparative Assessment of Nigerian and Ugandan Gender Policies. International Journal of Research, 13(4), 196–208. https://doi.org/10.26643/ijr/edupub/14

1Ezeme, Paulinus Ejiofor

Department of Political Science,

Faculty of the Social Sciences,

University of Nigeria, Nsukka

Email: paulinus.ezeme@unn.edu.ng

ORCID: https://orcid.org/0009-0005-3638-7360

2**Jonas Ohabuenyi**

Department of Political Science, Faculty of the Social Sciences,

University of Nigeria, Nsukka

Email: jonas.ohabuenyi@unn.edu.ng

ORCID: https://orcid.org/0009-0003-3614-7864

Corresponding author***

Abstract
Since women’s rights and participation are impacted by historical, societal, legal, and institutional issues, gender equality is a significant issue in both Nigeria and Uganda. The changes in gender policy in Nigeria and Uganda are examined in this essay. Comparing the efficacy of gender laws in the two nations, identifying obstacles to their full implementation, and making policy recommendations for enhancing gender parity were the goals. The study uses a doctrinal research strategy, which includes a thorough examination of international frameworks, state policies, and legal documents pertaining to gender equality in Nigeria and Uganda. The results demonstrate how the legal systems in Uganda and Nigeria have significantly improved gender equality. However, it will be challenging to successfully apply these laws due to social opposition, a lack of finance, insufficient institutional ability, and unpredictable political will. The study comes to the conclusion that, despite advancements, legislation pertaining to gender equality can occasionally be challenging to implement due to societal biases, a lack of political will, and a lack of funding. The study suggests, among other things, improving the competence of institutions in charge of carrying out gender policy and fortifying institutional frameworks.

Keywords: Comparative Assessment, Gender Policies, Institutional Structures, Legal Frameworks, Socio-Cultural

Introduction

            In many facets of society, such as economic empowerment, educational access, and violence prevention, gender policies are essential for creating equal opportunities and protections. Smith and Sinkford (2022) argue that promoting gender equality is not only a legal or economic necessity but also requires altering deeply rooted social norms, creating inclusive institutional structures, and changing policy frameworks in order to acknowledge and address the particular difficulties faced by women and gender minorities. Two African nations with distinct historical trajectories and complex social dynamics—Nigeria and Uganda—make compelling arguments for examining gender policy reform projects throughout the continent. This study aims to identify barriers and practical solutions for achieving gender equality by comparing and contrasting their approaches, offering knowledge pertinent not just to these two countries but also to the greater African context.Gender inequality is a major barrier to social progress in Uganda and Nigeria, impacting development, human rights, and overall societal well-being. Despite efforts to address these issues, cultural, economic, and political constraints have impeded the implementation and effectiveness of gender programs (Hervías Parejo & Radulović, 2023). Gender roles and actions in Uganda and Nigeria now are greatly influenced by past occurrences. For example, indigenous gender relations were changed and patriarchal norms were often reinforced by colonial laws and social institutions that privileged men’s access to formal employment, education, and leadership roles (Ajibade et al., 2020). The strengthening of regional and religious divisions brought forth by British colonial authority had distinct effects on gender roles in Nigeria’s North and South (Olonade et al., 2021). However, Uganda’s colonial experience under British rule resulted in unique social and economic policies that specifically changed the roles of men and women in politics and the economy (Sseremba, 2023). Women’s social standing, access to resources, and capacity for decision-making were all impacted by a number of firmly embedded gender norms, notwithstanding post-colonial efforts to bridge these gaps.Both Uganda and Nigeria have made strides toward enacting laws and policies that promote gender equality. For instance, according to UN Women (2021), Uganda’s Constitution recognises women’s rights and has several provisions, such as affirmative action programs to increase the representation of women in politics. Nigeria’s National Gender Policy (NGP) places a strong focus on women’s rights, political participation, and the eradication of gender-based violence (Okunade et al., 2023). However, the effectiveness of these tactics varies widely due to differences in political will, cultural resistance, and financial allocation. Nigerian implementation gaps are sometimes brought about by differences in how policies are carried out in various states, primarily because of the influence of customs and religion (Adenekan, 2022). Although Uganda is more progressive in certain ways, there are still problems with implementation, especially in rural areas where traditional ideas may clash with gender norms (UN Women, 2021). Gender legislation is still difficult to change, despite significant progress in both countries.

Frameworks and Initiatives for National Policy

Nigeria

The gender equality policies in Nigeria are the outcome of intricate relationships between regional differences, cultural norms, and legislative frameworks. Nigeria has passed important legislation to combat gender-based violence and advance gender equality, but the country’s diverse ethnic and religious terrain makes it difficult to completely achieve these objectives. Initiatives to advance gender parity include the following:
The historic Violence Against Persons (Prohibition) Act (2015) seeks to end all forms of violence against women, including female genital mutilation, sexual harassment, and domestic abuse. The Act offers survivors legal protection and forbids harmful behaviours like forced marriage and spousal abuse. Nigeria, like Uganda, finds it difficult to put this law into effect, especially in areas where its goals clash with regional traditions and religious beliefs.
By encouraging female education, economic involvement, and protection against gender-based violence, Nigeria’s National Gender Policy aims to lessen gender inequities. Maternal mortality, gender-based violence, and the under-representation of women in government are some of the challenges that the strategy aims to address. Despite the policy’s broad goals, there are geographical differences in women’s access to healthcare, education, and employment prospects due to its uneven implementation. Gender initiatives encounter strong opposition in northern Nigeria, where traditional cultural and religious beliefs may restrict women’s rights (Olonade et al., 2021).

Uganda

Uganda has made great progress in passing legislation that protects women’s rights, prevents gender-based violence, and grants access to healthcare and education. The country’s national policy frameworks aim to promote gender parity and protect women’s rights, but there are still barriers to their effective execution and the achievement of measurable outcomes for women. The following is a list of the operational frameworks.

The Domestic Violence Act (2010) is a significant piece of legislation in Uganda that addresses financial, psychological, and physical abuse in homes (Ahimbisibwe, 2023). It provides victims of domestic abuse with legal protection in addition to safety measures like shelters and legal aid. However, enforcing the Act has been challenging due to a lack of funds, inadequate training for law enforcement officers, and persistent cultural ideas that normalise violence against women.
According to Mukasa et al. (2024), Uganda’s Gender Policy was developed to address gender inequities and promote gender equity in areas like education, health, employment, and political involvement. The policy encourages the creation of gender-sensitive programs and activities in order to empower women and give them equal opportunity. For instance, the policy emphasises the importance of women’s participation in leadership and decision-making processes, as well as their access to financial resources and healthcare.


The 1995 Ugandan Constitution, which gives equal rights to all persons, including special protections for women, enshrines gender equality. The Constitution mandates that men and women have equal opportunities in all spheres of life, including employment, education, and political participation. This legislative framework serves as the foundation for numerous gender-sensitive government programs and is crucial to the advancement of gender equality. The Constitution is reformist, but because of deeply ingrained sociocultural practices and viewpoints that still marginalise women, its implementation has proven challenging.

Frameworks for Law and Policy Encouraging Gender Equality

            One important piece of Nigerian legislation that supports equal rights and aims to stop discriminatory practices against women is the National Gender Policy (2006), which has been revised to the National Gender Policy 2021-2026. Aspects of women’s rights covered by this policy include their access to economic opportunities, healthcare, education, and decision-making (Ayamba et al., 2024). By prohibiting violent actions like female genital mutilation, domestic violence, and the destruction of widowhood customs, the Violence Against Persons (Prohibition) Act (2015) further promotes gender equity (The National Agency for the Prohibition of Trafficking in Persons [NAPTIP], 2022). However, poor enforcement procedures and uneven state-by-state implementation frequently undermine the efficacy of these legislation.A strong legal basis for gender equality in Uganda is provided by the 1995 Ugandan Constitution, which ensures equal rights for men and women in a number of areas of life, including employment, education, and political involvement (Ndagire, 2022). Another important piece of legislation that attempts to shield people from gender-based violence is the Domestic Violence Act (2010), which forbids domestic abuse and establishes victim support programs. Despite the progressive legislative framework, Bauer (2021) pointed out that societal beliefs that normalise gender inequity and violence against women, especially in rural regions, frequently impede the execution of these laws.

Opportunities for Economic Growth and Education

            In order to advance gender equality, economic growth and education are crucial. Economic opportunities guarantee that women can become financially independent and actively engage in society, while access to education allows them to raise their social and economic standing. The Ugandan Ministry of Education and Sports (2015) reports that female enrolment in basic and secondary schools has significantly improved and that there is gender parity in elementary education. Teenage pregnancy, child marriage, and cultural beliefs that value boys’ education over girls’ are barriers that prevent women from pursuing an education (UNICEF, 2015). Furthermore, many women still do not have access to higher education, particularly in rural areas. More focused efforts are required to reduce gender-specific educational barriers, even though programs like Universal Secondary Education (USE) and Universal Primary Education (UPE) have shown promise.Barriers like early marriage, poverty, and gender-based violence continue to prevent girls from attending school despite the Nigerian government’s efforts to improve girls’ education, especially through programs like the Girls’ Education Programme Phase 3 (GEP3) (Egberi & Madubueze, 2023). Additionally, women’s access to credit, financial resources, and land ownership is restricted, particularly in rural areas, which limits their economic potential (Udoh, 2024). Gender discrimination and a lack of support for work-life balance further hinder women’s involvement in the formal employment market.

Gender-Based Violence

            In both Nigeria and Uganda, gender-based violence (GBV) is a major obstacle to attaining gender equality. According to O’Mullan et al. (2024), gender inequality and power disparities are the main causes of GBV, which disproportionately affects women and girls. The goal of Uganda’s 2010 Domestic Violence Act is to shield women and children from emotional, sexual, and physical abuse (Amegbor & Pascoe, 2021). GBV is nevertheless common despite this legal framework, and survivors have little access to support services, especially in rural regions (Anguzu et al., 2022). Women find it challenging to pursue justice due to societal beliefs that favour violence against women as well as inadequate law enforcement and support networks.Among the most common types of gender-based violence in Nigeria include child marriage, female genital mutilation, and domestic abuse (United Nations, 2020). By giving victims legal protection and punishing criminals, the Violence Against Persons (Prohibition) Act (2015) aims to solve these problems. However, Mshelia (2021) noted that enduring obstacles to implementation include deeply ingrained patriarchal practices, a lack of public awareness, and inadequate legislative enforcement. Furthermore, because of cultural taboo, GBV is frequently underreported, and survivors frequently struggle to access mental and legal support.

Thinking About Uganda’s and Nigeria’s Gender Policy Reforms

            The challenging process of changing gender policy in Nigeria and Uganda must include the removal of long-standing institutional, legal, and societal barriers to gender equality. In addition to enacting new laws, this reform aims to create an atmosphere that promotes significant social, political, and economic change. Therefore, a comprehensive approach to reforming gender policy is required, considering the connections between legislative frameworks, societal norms, and women’s involvement in governance (Okunade et al., 2023; Vijeyarasa, 2021). This section looks at the legal and regulatory frameworks, women’s rights and participation, gender-based violence (GBV), access to economic and educational opportunities, and inclusive governance structures—all of which are essential to the reform process in both nations.

Structures of Inclusive Governance

            In order to achieve gender equality, inclusive governance is essential since it ensures that women’s opinions are heard during decision-making processes. According to the United Nations Development Programme, UNDP (2022), the Ugandan Equal Opportunities Commission works to ensure that men and women have equal access to opportunities and resources and has helped close gender inequalities in a variety of areas. However, women continue to be under-represented in the executive, judicial, and local branches of high-level government. To promote gender-inclusive governance, more work is needed to ensure that women have a meaningful voice in policy decisions and to increase the representation of women in important jobs.Affirmative action laws have considerably improved women’s political representation in Nigeria, although they are still under-represented in high-level positions, particularly in local government and traditional leadership roles. Gender-inclusive governance institutions must not only promote women’s participation but also provide an environment where women can reach their leadership potential without fear of discrimination or violence (World Health Organization, 2017).

Engagement in Women’s Rights and Governance

            Improving women’s rights and involvement in governance is a crucial part of changing gender policy. To guarantee that policies represent their needs and viewpoints, women must participate in decision-making processes at all levels. The Ugandan Constitution guarantees women a direct say in the legislative process by assigning them seats in the Ugandan Parliament (Muzee, 2023). Although the number of women in political office has increased since affirmative action was implemented, gender stereotypes and cultural norms still prevent women from assuming leadership positions (Chemutai & Mulyampiti, 2023). Lack of funding and strongly ingrained patriarchal ideas that support male leadership further limit women’s access to leadership roles in political parties and other public roles.Nigeria has seen notable advancements in the representation of women in politics, including female legislators, governors, and ministers. The Beijing Platform for Action and other international commitments have established a target for their representation, but it still falls short. Agbalajobi (2021) claims that institutional and cultural barriers that keep women from fully engaging in politics include intimidation, gender-based violence, and political parties’ preference for male candidates. The problem is made worse by the underfunding of women’s political campaigns. Quota systems and affirmative action, two policies that support gender equality in government, have not been successful in removing these obstacles (Adigun Yusuf, 2024).

The Global Legal Structure for Reforming Gender Policy

The global  legal frameworks are essential for promoting gender equality and directing nations to enact laws, regulations, and policies that protect women’s rights. These frameworks hold nations responsible for their pledges and create a global consensus on what gender equality and women’s empowerment entail. Uganda and Nigeria have accepted a number of international agreements aiming at advancing gender equality, but they differ in terms of compliance and how well they are carried out. The main international frameworks that guide the reform of gender policy are listed below.

            Often called the “international bill of rights for women,” the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW) is the cornerstone of international efforts to abolish gender discrimination (Gouri, 2021). Adopted by the UN in 1979, CEDAW requires member governments to take all necessary steps to end discrimination against women in all spheres of life, including public participation, work, education, and healthcare. Nigeria and Uganda have both signed CEDAW, pledging to respect its tenets. The degree to which these nations have integrated the provisions of CEDAW into their own legal frameworks differs, nevertheless. With the passage of the Equal Opportunities Commission Act (2007), which attempts to eliminate gender disparity in a number of areas, Uganda has achieved notable progress (Jackline, 2024). However, there are still difficulties in putting CEDAW’s tenets into reality. The effective implementation of CEDAW is nevertheless hampered by sociocultural norms and deeply ingrained gender prejudices, especially in rural areas where conventional gender roles predominate (Nalule, 2022). Although CEDAW’s goals are reflected in Nigeria’s National Gender Policy and other legislative frameworks, such the Violence Against Persons (Prohibition) Act (2015), gender discrimination is still widespread in both law and practice. The full implementation of CEDAW’s provisions is hampered, for example, by the non-ratification of the Violence Against Women Bill and the inconsistent application of gender-related laws among states.Twelve crucial areas of concern, including women’s health, education, economic empowerment, and political engagement, were identified in the Beijing Declaration and Platform for Action, which was endorsed during the Fourth World Conference on Women in 1995 (Gondal et al., 2023). This proclamation highlights the necessity for nations to develop thorough and well-thought-out programs to tackle the difficulties women encounter in these domains. It also emphasises how crucial it is to create a social and legal climate that allows women to reach their full potential in all facets of life. Nigeria and Uganda have both committed to the Beijing Platform, but their execution of its objectives has been uneven. The government of Uganda has made some headway in expanding women’s access to healthcare and education. However, problems including high rates of maternal death, gender-based violence, and the lack of economic prospects for women in the unorganised sector continue to be major obstacles (Tetui et al., 2024).Nigeria’s gender-related policies, especially those aimed at increasing female political involvement, have been influenced by the Beijing Platform. One notable accomplishment is the employment of women to key administrative positions. However, cultural barriers, religious prohibitions, and deeply embedded patriarchal structures continue to limit women’s participation in politics and other decision-making processes (Alokwu, et al., 2024). Despite these challenges, programs like the National Policy on Women’s Empowerment aim to increase women’s responsibilities in the political and economic spheres.In order to solve global concerns and advance sustainable development by 2030, the United Nations established the Sustainable Development Goals (SDGs) in 2015. Goal 5, which emphasises gender equality and women’s empowerment, calls for the eradication of all forms of violence, discrimination, and harmful practices against women and girls while ensuring their full participation in public, political, and economic life. As signatories to the SDGs, Uganda and Nigeria have pledged to accomplish Goal 5 as well as other associated objectives such expanding women’s access to economic, healthcare, and educational opportunities (Jackline, 2024; Egberi & Madubueze, 2023). In Uganda, women’s political representation and literacy rates have significantly improved. The government has also started programs to promote women’s economic development and reduce maternal mortality. However, problems such limited financial resources, gender-based violence, and inadequate access to reproductive healthcare persist (Mambo et al., 2023).Nigeria, on the other hand, has made some progress toward SDG 5, particularly in the areas of female education. However, the country has serious issues like economic inequality that disproportionately impacts women, especially in the northern regions, gender-based violence, and cultural practices such child marriage (United Nations, 2020). Nigeria has committed to several international frameworks, including the SDGs, however implementation is patchy and monitoring systems are often insufficient.

Conclusion

            The implementation, difficulties, and effects of international legal frameworks for gender reforms have been highlighted by this study’s analysis of the gender policy frameworks in Nigeria and Uganda. According to the study, both nations have made great progress in enacting gender policies that uphold women’s rights and advance equality, but they still have a long way to go before reaching complete gender parity. However, cultural resistance, a lack of funding, and insufficient institutional ability hinder the implementation of laws such as the Gender Policy and the Domestic Violence Act, as well as Uganda’s constitutional provisions of gender equality. Enforcing national gender laws such as the Violence Against Persons (Prohibition) Act and the National Gender Policy is more difficult in Nigeria due to its ethnic, religious, and regional diversity. Although these laws seek to safeguard women from gender-based violence and advance their rights, their implementation varies by region, especially in places where cultural and religious traditions clash with the goals of gender equality.Stronger institutional backing, improved legal enforcement, and a cultural movement toward gender equality are all necessary for effective gender policy reform in both nations. To guarantee that women may fully utilise their rights and opportunities, there must also be consistent political will and sufficient resources for gender programs. Governments, the general public, and international partners must work together to foster an environment that supports women’s inclusion and empowerment in order to overcome these obstacles.

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Chinweze, U. C., Ajah, B. O., Osadebe, N. O., Isife, C. T., Umahi, O. T., Enweonwu, O. A., Ogbodo, C. S., Chukwuanu, S. C., Aladokiye, E. G. (2024).
            Prospective Strategies for the use of Virtual and Augmented Realities by the Somali             Criminal Justice System in Bringing Al-Shabab Terrorists to Justice. Journal of Somali        Studies (JoSS), 11(2), 79-104.

Anierobi, C. M., Obasi, C. O., Nnamani, R. G., Ajah, B. O.,  Iloma, D. O.,  Efobi, K. O.,       Nwaoga, C., Asadu, N., Okonkwo, U. T.,  Chigbe, E. I. (2024). Communal conflicts in      Nigeria: Assessment of the impacts on internally displaced persons and settlements      amidst COVID-19 pandemic. Heliyon, 10(1), e30200.             https://doi.org/10.1016/j.heliyon.2024.e30200

Eze, O.J., Onyejegbu, D.C., Chinweze, U.C., Nwokedi, M., Ajah, B.O., & Obi, D.O (2023).            Dark Figure: Traders’ Crime Reporting Behaviour in Enugu State, Nigeria. Journal of      African films and Diaspora Studies (JAFDIS) (Research on African Films, Diaspora         Studies, Performance Arts and Communication Studies), 6(4), 45-63.

Ugwuoke, C.O., *Ajah, B.O*., Akor, L., Ameh, S.O., Lanshima, C.A., Ngwu, C.E., Eze, U.A, &    Nwokedi, M. (2023). Violent Crimes and Insecurity on Nigerian Highways: A Tale of Travelers’ Trauma, Nightmares and State Slumber. HELIYON, HLY_e20489

Asogwa, U., Ajah, B. O., Okpa, J. T., Ugwu, I. P., Nnamani, R. G., & Okorie, A. (2023).        Examining the views and opinions of itinerary-traders on adherence to covid-19     lockdown in Enugu State, Nigeria.  Fudan Journal of the Humanities and Social Sciences, 16, 1-24. doi: 10.1007/s40647-023-00376-y

Ezeanya, O.C.P., Ajah, B. O., Okpa, J.T., Chinweze, U. C., Onyejegbu, D.C., Enweonwu, O.        A., & Obiwulu, A. C. (2023). Elite complicity in the non-egalitarian structures,         occasioning violence and anarchy in the Nigerian State. African Renaissance, 20(1), 77-    92.

Okpa, J.T., Ugwuoke, C.U., Ajah, O. B*., Eshioste, E., Igbe, J. E., Ajor, O.J., Ofem, N.O.,            Eteng, M.J., & Nnamani, R.G. (2022). Cyberspace, black-hat hacking and economic       sustainability of corporate organizations in Cross-River State, Nigeria. SAGE OPEN.         10.1177/21582440221122739.

Okpa, J. T., Ajah, B. O., Nzeakor, O.F., Eshioste, E., & Abang, T.A. (2022). Business E-mail     compromise scam, cyber victimisation and economic sustainability of corporate organisations in Nigeria. Security Journal, 1-22. https://doi.org/10.1057/s41284-022-         00342-5

Iloma, D.O., Nnam, M. U., Effiong, J. E., Eteng, M. J., Okechukwu, G. P., & Ajah, B. O.           (2022). Exploring socio-demographic factors, avoiding being a victim and fear of crime    in a Nigerian university. Security Journal, 1-20. https://doi.org/10.1057/s41284-022-         00336-3

Ajah, B. O., Chinweze, U.C., Ajah, A.I., Onyejegbu, D.C., Obiwulu, A., Onwuama, E.M., &            Okpa, J. T. (2022). Behind bars but not sentenced: the role of computerized central          repository in addressing awaiting-trial problems in Ebonyi state, Nigeria. SAGE Open,       12(1). https://doi.org/10.1177/21582440221079822

Ajah, L.O., Ajah, M. I., Ajah, B. O., Onwe, E. O., Ozumba, B.C.,  Iyoke, C.A., & Nwankwo, T.C. (2022). A 20 Year retrospective review of rape pattern in Ebonyi State, South-East    Nigeria. Heliyon, 8, e08894. https://doi.org/10.1016/j.heliyon.2022.e08894

Ezeanya, O.C.P., Ajah, B. O., Ibenwa, C.N., Onuorah, C. & Eze, U. (2022). A critical analysis      of the impact of religion on the Nigerian struggle for nationhood. HTS Teologiese          Studies/Theological Studies, 78(4), a7225. https://doi.org/10.4102/hts. v78i4.7225.

Ajah, B. O., Nnam, M. U., Ajah, I. A., Idemili-Aronu, N., Chukwuemeka, O. D., & Agboti, C.   I. (2021). Investigating the awareness of virtual and augmented realities as a criminal        justice response to the plight of awaiting-trial inmates in Ebonyi State, Nigeria. Crime,    Law and Social Change, DOI:10.1007/s10611-021-09988-5.

Eze, O.J., Ajah, B. O., Nwonovo, O. S., & Atama, C.S. (2021). Health sector corruption and        COVID-19 outbreak: evidence from Anambra and Enugu States, Nigeria. Journal of Contemporary African Studies, 40(1), 34-46. DOI:10.1080/02589001.2021.1921129

Nnam, M.U., Effiong, J.E., Iloma, D.O., Terfa, I.M., & Ajah, B. O. (2021). Hazardous drinking and the dark triad: an antidote for manipulative behaviour among   students. Current Psychology, 40(4), 1-7.

Anthony, E.O., Obasi, C.O., Obi, D.O., Ajah, B. O., Okpan, O.S., Onyejegbu, C.D. et al.,           (2021). Exploring the reasons for perennial attacks on churches in Nigeria through the            victims’ perspective. HTS Teologiese Studies/Theological Studies, 77(1), a6207.

Ezeanya, O. C. P. & Ajah, B. O. (2021). Addressing the biblical and ecclesial obligation of           Nigerian Roman-Catholic priests in promotion of peace and social justice. HTS Teologiese Studies/ Theological Studies, 77(4), a7138.        https://doi.org/10.4102/hts.v77i4.7138

Nnamani, G. R., Ilo, K. O., Onyejegbu, D. C., Ajah, B. O., Onwuama, M. E., Obiwulu, A. C.,      & Nzeakor, O. F. (2021). Use of noncustodial measure and independent monitoring body        as panacea to awaiting-trial problems in Ebonyi State, Nigeria. International Journal of     Criminal Justice Sciences, 16(1), 51-63.

Ugwuoke, C. O., Ajah, B. O., & Onyejegbu, C. D. (2020). Developing patterns of violent        crimes in Nigerian democratic transitions. Aggression and Violent Behavior, 53, 1-8.

Ajah, B. O., Ajah, A.I., & Obasi, C. O. (2020). Application of virtual reality (VR) and augmented reality (AR) in the investigation and trial of herdsmen terrorism in Nigeria.      International Journal of Criminal Justice Sciences, 15(1), 1-20.

Okpa, J.T., Ajah, B. O., & Igbe, J. E. (2020). Rising trend of phishing attacks on corporate    organisations in Cross River State, Nigeria. International Journal of Cyber Criminology,           14(2), 460–478.

Ajah, B. O., Dinne, C.E., & Salami, K. K. (2020). Terrorism in contemporary Nigerian     society: conquest of Boko-Haram, myth or reality. International Journal of Criminal           Justice Sciences, 15(1), 312-324.

Eze, O. J., Obi, D. O., & Ajah, B. O. (2020). Nigerian criminal justice system and victims of   crime neglect in Enugu Urban. FWU Journal of Social Sciences 14(3), 41-53.

Ajah, B. O*, Uwakwe, E. E., Nwokeoma, B. N., Ugwuoke C. O., & Nnnamani, R. G. (2020).   Ameliorating the plight of awaiting-trial inmates in ebonyi state, nigeria through       reasonable bail condition.  Pertanika Jounal of Social Sciences & Humanities, 28(4),         2897 – 2911.

Areh, C. E., Onwuama, E. M., & Ajah, B. O. (2020). Social consequences of wife-battering in Ogbaru and Onitsha North Local Government Areas of Anambra State, Nigeria. FWU         Journal of Social Sciences, 14(4), 80-92.

Ajah, B. O., & Okpa, J. T. (2019). Digitization as a solution to the problem of awaiting-trial          inmates in Ebonyi State, Nigeria. International Journal of Criminal Justice Sciences, 14(2), 199–207.

Ajah, B. O., & Onyejegbu, D. C. (2019). Neo-economy and militating effects of Africa’s      profile on cybercrime. International Journal of Cyber Criminology, 13(2), 326–342.

Nnam, M. U., Ajah, B. O., Arua, C. C., Okechukwu, G., & Okorie, C. O. (2019). The war      must be sustained: an integrated theoretical perspective of the cyberspace-Boko Haram    terrorism nexus in Nigeria. International Journal of Cyber Criminology, 13(2), 379–395.

Ajah, B. O. (2018). Educational training of inmates in Awka and Abakaliki prisons, Nigeria.     International Journal of Criminal Justice Sciences, 13(2), 299–305.

Ajah, B. O., & Ugwuoke, C. O. (2018). Juvenile justice administration and child prisoners in             Nigeria. International Journal of Criminal Justice Sciences, 13(2), 438–446.

Enweonwu, O. A., Ugwu, I. P., Onyejegbu, D. C., Areh, C. E., & Ajah, B. O. (2021).        Religious fanaticism and changing patterns of violent Crime in Nigeria. International        Journal of Criminology and Sociology10, 1378–1389. https://doi.org/10.6000/1929-        4409.2021.10.158

Onyejegbu, D. C., Onwuama, E. M., Onah, C. I., Okpa, J. T., & Ajah, B. O. (2021).  Special        courts as Nigerian criminal justice response to the plight of awaiting trial inmates in       Ebonyi State, Nigeria. International Journal of Criminology and Sociology, 10, 1172-   1177. https://doi.org/10.6000/1929-4409.2021.10.136

Nwadike, N. C., Okpa, J. T., Ofem, N. O., Ajah, B. O., Chinweze, U. C., & Isife, C. T. (2023).           Socio-cultural practices and stress among working mothers of underage children in          Nigeria Public Universities. Rupkatha Journal on Interdisciplinary Studies in Humanities,    15(3), 1-23.

Areh, C. E., Ajah, B. O., Ezeanya, O. C. P., Eze, A. U., Onwuchekwa, S. I., & Onyejegbu, C.        D. (2021). The Troubling Epidemic of Wife-Battering in Ogbaru and Onitsha North             Local Government Areas of Anambra State, Nigeria. International Journal of    Criminology and Sociology, 10, 1349-1361.

Nzeakor, O. F., Nwokeoma, B. N., Hassan, I. M., Ajah, B. O., & Okpa, J. T. (2022).        Emerging Trends in Cyber ends in Cybercrime A crime Awareness in Nigeria.      International Journal of Cybersecurity Intelligence & Cybercrime, 5(3), 41-67.

Onwuama, O. P., Ajah, O. B., Asadu, N., Ebimgbo, S. O., Odii, A., & Okpara, K. C (2019).         Public perception of police performance in crimes control in Anambra state of Nigeria.       African Journal of Law and Criminology, 9(1) 17-26.

Ajah, B. O., Eze, O. J., & Okpa, J. T. (2024). Reforming the Nigeria Criminal Justice System.       Rowman & Littlefield.

Eze, O.J., *Ajah, B.O.*, Okpa, J.T., Ngwu, G. E. (2023). Ethnic-based violence: Nigeria       perspectives. In: Martin, C., V. R. Preedy and V. B. Patel (Eds), Handbook of anger,           aggression, and violence. Springer, Cham. https://doi.org/10.1007/978-3-030-98711- 4_182-2

Eze, J.O., Okpa, J.T., Onyejegbu, C.D., & *Ajah, B. O*. (2022). Cybercrime: victims’ shock         absorption mechanisms. UK: IntechOpen. doi: 10.5772/intechopen.106818.

Alawari, B. M., & Ajah, O. B. (2017). Understanding the gender dimensions of cyberbullying among           undergraduates in Nigeria. (A Book Chapter). Ahmadu Bello University Press Limited, Zaria.

Okpa, J. T., *Ajah, B. O*., Eze, O. J., & Enweonwu, O. A. (2022). Communal conflict and            violence: Causes and impact. In C. Martin, V. R. Preedy and V. B. Patel (eds) Handbook    of Anger, Aggression, and Violence. Springer, Cham. https://doi.org/10.1007/978-3-030-           98711-4_184-1

Daily writing prompt
What gives you direction in life?

Technical SEO Auditing as a Growth Framework: Quantifying the Impact of Systematic Website Optimisation on Organic Search Performance

Search engine optimisation remains one of the most cost-effective digital marketing channels available, yet a significant proportion of websites — particularly those operated by small and medium-sized enterprises — fail to capitalise on its potential due to preventable technical deficiencies. This article examines the relationship between technical SEO health and organic search performance, drawing on recent empirical data to quantify the impact of systematic auditing and remediation across different website categories. The findings have implications for digital marketing practitioners, business strategists, and researchers studying the economics of web-based customer acquisition.

The Technical SEO Landscape: Scope and Prevalence of Issues

Technical SEO encompasses the non-content elements that influence a search engine’s ability to crawl, index, and rank web pages. Unlike content strategy or link building — which involve subjective quality judgements — technical SEO factors are largely binary: a page either has a valid meta description or it does not, images either include alt attributes or they do not, and server response times either meet Core Web Vitals thresholds or they fail.

This measurability is both the strength and the overlooked opportunity of technical SEO. A comprehensive audit can identify every technical deficiency on a website in minutes, producing a prioritised remediation plan that requires no subjective interpretation. Yet despite this accessibility, the prevalence of technical issues remains remarkably high across the web.

An analysis of 12,000 websites conducted between January and March 2026 revealed that 68% had three or more critical technical SEO issues. Missing alt text on images was the most common deficiency, affecting 71% of sites surveyed. Missing or duplicate meta descriptions affected 67%. Suboptimal page speed — defined as failing one or more Core Web Vitals metrics on mobile — affected 58%. These are not obscure or debatable issues; they represent clear, documented ranking signals that Google has publicly identified as evaluation criteria.

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Correlation Between Technical Health and Rankings

The relationship between technical SEO factors and search rankings has been quantified through several large-scale correlation studies. Content relevance shows the strongest individual correlation (r = 0.85), followed by backlink quality (r = 0.81), technical SEO health as a composite score (r = 0.77), and mobile responsiveness (r = 0.72). These correlations are not independent — a technically sound website tends to load faster, provide better mobile experience, and retain visitors longer, creating positive feedback loops that reinforce ranking signals.

The practical implication is that technical SEO, while not sufficient on its own for strong rankings, is a necessary foundation. A website with excellent content and strong backlinks will still underperform if its technical infrastructure prevents search engines from efficiently crawling and indexing its pages. Conversely, fixing technical issues on a site with decent content often produces disproportionate ranking improvements because the content value was already present but technically suppressed.

Quantifying the Impact of Remediation

The most compelling evidence for the value of technical SEO auditing comes from before-and-after analyses of websites that underwent systematic remediation. This tool enables the kind of comprehensive scanning that produces actionable audit reports, identifying issues across crawlability, indexability, page speed, mobile usability, schema markup, and internal linking structure.

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The results, aggregated across multiple implementation studies, demonstrate consistent and substantial improvements. Small business websites with fewer than 50 pages showed average organic traffic increases of 185% within six months of completing recommended fixes. Mid-sized sites of 50 to 500 pages showed even larger gains — 240% on average — likely because larger sites have more pages that benefit from improved crawl efficiency. Enterprise sites with more than 500 pages showed the highest absolute gains at 310%, reflecting the compounding effect of technical improvements across thousands of indexed pages.

E-commerce sites averaged 275% improvement, driven primarily by product page optimisation and structured data implementation that enabled rich snippets in search results. SaaS and technology sites showed 220% improvement, with page speed optimisation and technical content indexation being the primary drivers.

Cost-Effectiveness Analysis

The economic case for technical SEO auditing becomes clearer when compared against alternative customer acquisition channels. Pay-per-click advertising in competitive sectors costs between $1.50 and $8.00 per click, with conversion rates typically between 2% and 5%. This translates to a cost per acquisition ranging from $30 to $400, depending on the sector.

Technical SEO remediation, by contrast, is largely a one-time investment. The audit itself can be performed using automated tools at negligible cost. Implementation requires either internal development resources or a modest consultancy engagement. Once completed, the resulting traffic improvements persist indefinitely — assuming basic site maintenance continues — at zero marginal cost per visitor. For a small business generating 1,000 monthly organic visitors after remediation, the equivalent PPC cost would range from $1,500 to $8,000 per month, making the SEO investment recoupable within weeks rather than months.

Methodological Considerations and Limitations

Several caveats apply to the data presented above. First, correlation studies cannot establish causation — websites with better technical SEO may also invest more in content and link building, confounding the relationship. Second, the traffic improvement figures represent averages; individual results vary significantly based on competitive landscape, content quality, and domain authority. Third, the six-month measurement window captures the initial impact but may not reflect long-term trends, as competitors also improve their technical SEO over time.

Conclusions

Technical SEO auditing represents a high-return, low-risk investment for organisations seeking to improve organic search performance. The evidence demonstrates consistent and substantial traffic improvements across all website categories, with the magnitude of improvement correlating positively with site size and the severity of pre-existing technical issues. For researchers, the standardisation of audit methodologies provides opportunities for more rigorous longitudinal studies that could establish clearer causal relationships between specific technical interventions and ranking outcomes. For practitioners, the immediate takeaway is straightforward: a comprehensive technical audit is the highest-ROI first step in any SEO strategy, and the tools to conduct one are freely accessible.

Ensemble Machine Learning Models for Cryptocurrency Price Forecasting: Methodology, Performance, and Practical Applications

The application of machine learning to financial markets has evolved from a niche academic pursuit into a mainstream analytical framework. Nowhere is this transformation more visible than in cryptocurrency markets, where extreme volatility, continuous trading cycles, and abundant data streams create conditions uniquely suited to algorithmic analysis. This article examines the current state of ensemble machine learning models applied to cryptocurrency price forecasting, evaluating their methodological foundations, comparative performance against traditional approaches, and implications for both institutional and retail market participants.

The Limitations of Traditional Forecasting in Crypto Markets

Traditional financial forecasting relies heavily on two pillars: fundamental analysis, which evaluates intrinsic value based on financial statements and economic indicators, and technical analysis, which identifies patterns in historical price and volume data. Both approaches face significant challenges when applied to cryptocurrency assets.

Fundamental analysis, effective for equities with quantifiable earnings and cash flows, struggles with digital assets that lack conventional valuation metrics. Bitcoin generates no revenue, pays no dividends, and has no earnings per share. While on-chain metrics such as hash rate, active addresses, and transaction volume serve as proxy fundamentals, their relationship to price is non-linear and context-dependent. Technical analysis, meanwhile, assumes that historical patterns repeat — an assumption that holds reasonably well in mature markets with stable participant behaviour, but proves less reliable in crypto markets where the participant base is rapidly expanding and behavioural dynamics shift quarterly.

Empirical evidence supports this scepticism. Studies conducted between 2022 and 2025 consistently show that pure technical analysis achieves directional accuracy of approximately 40-45% for Bitcoin price movements over 7-day horizons — marginally better than random chance. ARIMA models, the workhorse of traditional time-series forecasting, show RMSE values of 8-9% relative to actual price, making them impractical for actionable trading decisions.

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The Architecture of Ensemble Approaches

Ensemble methods address the fundamental weakness of individual models: each captures certain patterns while remaining blind to others. By combining multiple independent models — each trained on different feature sets, using different algorithms, and optimised for different time horizons — ensemble systems achieve accuracy levels that no single component model can match.

The most effective ensemble architectures in current cryptocurrency forecasting typically integrate three layers. The first layer consists of time-series models, primarily LSTM and GRU recurrent neural networks, trained on historical price and volume data with attention mechanisms that weight recent observations more heavily. The second layer incorporates natural language processing models that quantify market sentiment from news articles, social media posts, and forum discussions, producing a real-time sentiment index that correlates with short-term price movements. The third layer adds macroeconomic and on-chain features — interest rate differentials, dollar index movements, whale wallet activity, and exchange inflow/outflow data — processed through gradient-boosted decision trees.

The ensemble combines these layers using a dynamic weighting system that adjusts component contributions based on recent performance. During periods of high social media activity, the sentiment layer receives greater weight. During macro-driven markets, the economic features layer dominates. This adaptive architecture is what produces the significant accuracy advantage visible in the data.

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Performance Evaluation and Transparency

A critical challenge in evaluating forecasting platforms is the prevalence of survivorship bias and selective reporting. Many commercial prediction services publish only their successful calls while quietly omitting failures, creating an artificially inflated track record. Academic-grade evaluation requires comprehensive logging: every prediction timestamped at the point of issuance, with outcomes recorded against actual market data at the specified horizon.

Platforms that maintain this level of transparency provide a genuinely useful resource for the research community. An AI-powered financial forecasting platform that publishes complete, verifiable prediction histories — including failures — enables independent researchers to conduct their own statistical analysis of model performance. This open approach to evaluation aligns with the principles of reproducible research and represents the standard to which all commercial forecasting tools should be held.

Implications for Market Efficiency

The improving accuracy of machine learning forecasting models raises important questions about market efficiency. The efficient market hypothesis, in its semi-strong form, posits that all publicly available information is already reflected in asset prices, making systematic outperformance impossible. If ensemble models consistently achieve 75%+ directional accuracy, this would appear to contradict the hypothesis.

The resolution lies in understanding that cryptocurrency markets are still maturing. Retail participation is high, information asymmetry is significant, and behavioural biases are well-documented. These inefficiencies create extractable alpha that machine learning models can capture. However, as algorithmic trading adoption increases and more participants employ similar models, these inefficiencies will gradually diminish — a process already observed in traditional equity markets over the past two decades.

Conclusions and Future Directions

Ensemble machine learning models represent a meaningful advancement in cryptocurrency price forecasting, achieving accuracy levels approximately 30-35 percentage points above traditional technical analysis. The key technical innovations — multi-layer architecture, dynamic weight adjustment, and comprehensive feature engineering — are well-established in the literature and increasingly accessible to practitioners through cloud computing platforms.

For future research, three areas merit attention. First, the integration of reinforcement learning for adaptive position sizing alongside price predictions. Second, the development of causal inference frameworks that distinguish genuine predictive relationships from spurious correlations in high-dimensional feature spaces. Third, and perhaps most importantly, the establishment of standardised evaluation benchmarks that would allow meaningful cross-platform performance comparison — a gap that currently undermines the field’s credibility and makes it difficult for both researchers and practitioners to distinguish genuine capability from marketing.

Daily writing prompt
Do you vote in political elections?

Multilingual Conversational AI in Customer Service: A Cross-Linguistic Analysis of NLP Performance and Business Outcomes

The deployment of conversational AI systems in customer service has accelerated dramatically since 2023, driven by advances in large language models and growing consumer acceptance of automated interactions. However, the majority of research and commercial development has focused on English-language applications, leaving a significant gap in our understanding of how these systems perform across diverse linguistic contexts. This article examines the current state of multilingual conversational AI, evaluating both the technical progress in cross-linguistic natural language processing and the measurable business outcomes reported by organisations operating across multiple language markets.

The Multilingual Challenge in Conversational AI

Natural language processing has historically been an English-first discipline. The training data available for English exceeds that of all other languages combined by a factor of approximately eight, according to analyses of Common Crawl and similar web-scale corpora. This imbalance created a performance hierarchy: English-language models achieved near-human accuracy while models for languages with less training data — Arabic, Hindi, Swahili, Tagalog — produced significantly higher error rates.

The consequences for customer service are substantial. A business operating in a single language market can deploy a chatbot with high confidence that intent recognition, entity extraction, and response generation will perform adequately. A business serving customers in ten or twenty languages faces a compounding quality problem: if each non-English language has even a 5% lower accuracy rate, the aggregate customer experience across the entire user base degrades measurably. For organisations with global customer bases, this has historically meant maintaining separate systems or accepting lower quality outside their primary language.

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Recent Advances in Cross-Linguistic Performance

The period from 2024 to 2026 has seen remarkable improvements in multilingual NLP, driven primarily by two technical developments. First, the emergence of massively multilingual foundation models — successors to mBERT and XLM-R — trained on curated multilingual corpora that deliberately oversample underrepresented languages. Second, the application of cross-lingual transfer learning techniques that allow models trained primarily on high-resource languages to transfer their capabilities to low-resource languages with minimal additional training data.

The performance improvements are substantial. Intent recognition accuracy for Arabic, which stood at 71% in 2023, has reached 91% in current-generation models — a 20-percentage-point improvement in three years. Hindi has improved from 69% to 90%. Even Japanese, with its complex writing system combining kanji, hiragana, and katakana, has moved from 76% to 92%. These gains have made truly multilingual customer service technically viable for the first time.

Practical implementations now exist that support customer conversations across 90 or more languages simultaneously. Platforms offering multilingual conversational AI across text and voice channels demonstrate that the technical capability to serve diverse language markets from a single system has moved from theoretical possibility to commercial reality. The significance for global businesses is considerable: rather than building or licensing separate chatbot systems for each market, a single platform can now handle the full spectrum of customer languages with comparable quality.

Business Outcomes: A Meta-Analysis

Technical capability alone does not justify deployment. The more pertinent question for organisations is whether conversational AI produces measurable improvements in customer service metrics. A meta-analysis of 47 implementation studies published between 2024 and 2026 provides clear evidence on this point.

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The data reveals a nuanced picture. Pure AI chatbot interactions achieve a CSAT score of 74% — higher than email (62%) and comparable to phone support (71%), but lower than human live chat (78%). However, the highest satisfaction scores — 89% — come from hybrid models where AI handles initial triage and routine queries while seamlessly escalating complex issues to human agents with full conversation context. This finding is consistent across all studies reviewed and suggests that the optimal deployment strategy is not replacement of human agents but augmentation.

Cost metrics are equally significant. Organisations deploying conversational AI reported average reductions in cost per customer interaction of 55-65%, primarily through three mechanisms: elimination of after-hours staffing requirements, reduction in average handling time for routine queries from 12 minutes to under 2 minutes, and decreased training costs as AI handles the long tail of product-specific questions that previously required specialist knowledge.

Challenges and Limitations

Despite the progress documented above, several significant challenges remain. Cultural appropriateness — the ability to adjust not just language but communication style, formality level, and social conventions — is still poorly handled by most systems. A chatbot that translates its responses into Japanese but maintains a casual American English communication style will alienate Japanese customers regardless of linguistic accuracy.

Additionally, domain-specific terminology poses persistent challenges. While general conversational accuracy has improved dramatically, specialised vocabularies in fields such as medicine, law, and engineering remain problematic in many languages due to insufficient training data in those domain-language combinations. Organisations deploying multilingual chatbots in specialised fields must invest in custom training data to achieve acceptable accuracy levels.

Conclusions

Multilingual conversational AI has reached a maturity level where deployment across diverse language markets is both technically feasible and economically justified. The convergence of cross-linguistic NLP accuracy — now exceeding 90% for intent recognition across all major world languages — with demonstrated cost reductions of 55-65% creates a compelling case for adoption by organisations serving multilingual customer bases.

Future research should focus on three priorities. First, developing robust frameworks for measuring cultural appropriateness alongside linguistic accuracy. Second, establishing standardised benchmarks for domain-specific multilingual performance that enable meaningful cross-platform comparisons. Third, investigating the long-term effects of AI-mediated customer service on brand perception and customer loyalty across different cultural contexts — a question that existing studies, limited to six-month observation windows, cannot yet answer definitively.

Daily writing prompt
What gives you direction in life?

Investor Sergey Tokarev on the Generation H 3.0 HealthTech Accelerator

Sergey Tokarev on Generation H’s Third Season Opening to International Startups for the First Time

The Generation H accelerator programme, run by SET University and the Tokarev Foundation, has announced the launch of its third intake. For the first time in its history, this HealthTech accelerator, which specialises in medical technologies, has expanded the list of teams eligible to participate. Ukrainian startups based abroad that have an MVP or a product ready to scale within ten weeks can now join the programme. This was announced by Sergey Tokarev, founder of the Tokarev Foundation and co-founder of SET University.

What is known about the Generation H programme

Over the past two seasons, 30 projects have gone through the HealthTech accelerator, and the total amount of investment raised by its alumni has reached 11 million hryvnias. The startups have won competitions such as Google for Startups, IT Arena, and EIT Jumpstarter, entered European and American markets, and made it into the top 200 of the TechCrunch Startup Battlefield.

Among the graduates are:

  • TAYRA.AI — an AI medical scribe that automatically structures doctors’ consultations
  • M Shield — a drug that prevents the spread of metastases
  • Ovul — an AI device for tracking fertility through saliva analysis

“In my opinion, the HealthTech sector offers the shortest path to making a real impact on quality of life. However, we need not only a high-quality product, but also an understanding of medical logic, regulatory frameworks, and decision-making cycles. That is why, unlike many other sectors, HealthTech cannot do without mentorship and acceleration,” says Sergey Tokarev.

According to the organisers, given current market dynamics, expanding internationally is a sound strategy: AI in healthcare is growing by 35–40% annually, and the global digital health sector has already surpassed $300 billion.

Programme participants can expect personalised mentoring, product crash tests, business model validation, workshops on entering international markets, individual matchmaking, and support with regulatory issues. Mentors include Eric Henry, Senior Counsel for FDA Compliance at King & Spalding; Fergus O’Dea, Vice President of Commercial Operations at FIRE1; Volodymyr Nerubenko, co-founder of Liki24 Foundation and TerraLab; and Alexa Sinyacheva, a Techstars mentor and co-founder of Moeco.

“One of the main reasons for launching Generation H was that the Ukrainian HealthTech sector was severely underestimated, and we needed to change that. Now we are testing whether it is possible to create a global hub for innovation in Ukraine. That is why, for the first time, we are expanding the programme to include Ukrainian startups based abroad,” adds Sergey Tokarev. Generation H will be held in a hybrid format. International participants can take part online. The grand prize is 650,000 hryvnias. Applications must be submitted by 24 May via the SET University website.

Daily writing prompt
Do you have a quote you live your life by or think of often?

Blaize and NeoTensr Push $50M Into Edge AI Infrastructure in APAC

At the end of April, a notable deal dropped in the edge AI space. Blaize and NeoTensr signed an agreement worth up to $50 million to deploy edge AI infrastructure across the Asia-Pacific region. This isn’t just another partnership announcement. It shows how fast edge AI is moving from concept to actual deployment, especially in Asia.


What the deal actually includes

The agreement focuses on building a full-stack edge AI ecosystem rather than delivering isolated components. Instead of selling just chips or servers, the two companies are working on co-branded AI edge data centers that combine hardware optimized for inference, a software layer for deployment and orchestration, and real enterprise-facing AI services. The projected value reaches $50 million, and this comes after the two companies already generated over $20 million together in 2025. That makes it clear this is not an early-stage experiment, but a continuation of something that is already working.


Why this matters now

The key idea behind this move is simple: AI is shifting closer to where data is created. Instead of sending everything to the cloud, companies are deploying compute directly at the edge, which reduces latency and allows systems to react in real time. It also changes how data is handled, especially in environments where privacy or bandwidth is a concern. This direction is described well in edge AI for real-time analytics systems, where local processing becomes the default instead of the fallback option.


The hardware layer behind the trend

None of this works without the right hardware. Edge AI systems need chips that can handle multiple workloads at once, including computer vision and neural network inference, while staying power-efficient. That is why the industry is moving toward newer SoC designs, such as those discussed in next-generation Rockchip AI processors comparison, where architectures are built specifically for mixed AI workloads rather than general-purpose computing. This shift in silicon design is what makes large-scale edge deployments like the Blaize and NeoTensr project possible.


Why APAC is the focus

Asia-Pacific is not a случайный выбор. The region combines dense urban infrastructure, strong manufacturing capacity, and rapid adoption of smart systems across industries. This creates an environment where edge AI can be deployed at scale and tested in real-world conditions. In many cases, technologies that succeed in APAC later expand globally, which makes this rollout particularly important to watch.


The bigger picture

What makes this deal stand out is not just the size of the investment, but how it is structured. Instead of focusing on isolated pilots or limited experiments, the companies are building infrastructure from the ground up with real deployment in mind. The emphasis is clearly on enterprise use cases, and the solution itself combines hardware, software, and services into one integrated system. This approach reflects a broader shift in the AI industry, where value is no longer in individual components but in complete, deployable platforms.


Final takeaway

The Blaize and NeoTensr partnership is a clear signal that edge AI is entering a new phase. This is no longer about concepts or early prototypes. It is about infrastructure that is being built and deployed in real environments. If this $50 million rollout proves successful, it will likely accelerate similar projects across other regions and push the industry further toward distributed AI systems that operate closer to where data is generated.

Daily writing prompt
Have you ever been camping?

When Credibility Meets the Algorithm: How Trust and Algorithm Awareness Shape Influencer Effectiveness in Chinese Social Commerce

Citation

Wijesinghe, T. C., & Jiang, P. (2026). When Credibility Meets the Algorithm: How Trust and Algorithm Awareness Shape Influencer Effectiveness in Chinese Social Commerce. International Journal of Research, 13(4), 168–185. https://doi.org/10.26643/ijr/edupub/13

First author – Thivanka Chamith Wijesinghe

Associate Professor, School of Management, Chongqing college of international business and economics, Chongqing, China

Second author – Pei Jiang

Lecturer, School of Management, Chongqing college of international business and economics, Chongqing, China

Abstract

Social commerce has transformed online shopping by integrating influencer-driven content with platform-based interactions. Drawing on source credibility theory, this study investigates how influencer credibility affects consumers’ purchase intention in Chinese social commerce. We further examine the mediating role of trust and the moderating role of consumer algorithm awareness. Data were collected through an online survey across multiple regions in China, yielding 244 valid responses. Using SPSS, reliability, validity, regression, mediation, and moderation analyses were conducted. The results indicate that influencer credibility positively influences purchase intention both directly and indirectly through trust. Trust was found to be a key psychological mechanism driving influencer effectiveness. Importantly, algorithm awareness negatively moderates the relationship between influencer credibility and purchase intention. Higher algorithm awareness weakens the persuasive impact of influencer credibility. These findings highlight the growing importance of platform-level cognition in shaping influencer marketing outcomes.

Keywords: Social commerce, Influencer credibility, Trust, Purchase intention, Algorithm awareness, Influencer marketing, Chinese digital platforms

1. Introduction

Social commerce has rapidly transformed consumer purchase behaviour by merging social interactions with online shopping on platforms such as Douyin, Taobao Live, and Xiaohongshu (Hajli, 2015; Wongkitrungrueng & Assarut, 2020). Influencers have become central to this emerging ecosystem, acting as pivotal intermediaries who shape consumer engagement, attitudes, and decision-making processes (Lou & Yuan, 2019; Sokolova & Kefi, 2020). Prior research grounded in source credibility theory demonstrates that influencer credibility—commonly conceptualised through expertise, trustworthiness, and attractiveness—positively affects consumers’ purchase intentions (Hovland et al., 1953; Ohanian, 1990). Specifically, credible influencers enhance followers’ confidence, reduce perceived risk, and improve brand attitudes, which in turn increase the likelihood of purchase decisions (De Veirman et al., 2017; Ki & Kim, 2019). For example, studies show that influencer credibility positively impacts purchase intentions by enhancing brand equity and consumer attitudes toward promoted products (Lou & Yuan, 2019).

Beyond traditional social media settings, the role of influencer credibility has also been examined within social commerce contexts, including live-streaming e-commerce, where influencers’ persuasive effects on purchase intention are well documented (Sun et al., 2019; Wongkitrungrueng & Assarut, 2020). Moreover, recent literature suggests that influencer attributes significantly influence Gen Z’s online purchase decisions and that credibility continues to function as a core determinant of behavioural outcomes (Sokolova & Kefi, 2020; Ki et al., 2020).

However, most existing studies implicitly assume that consumers evaluate influencer credibility in isolation, without accounting for the broader algorithmic processes that govern content exposure and influencer visibility. In contemporary social commerce platforms, recommendation algorithms determine which influencers are surfaced to users and how often their content appears in personalised feeds (Zarouali et al., 2021). With the increasing commercial sophistication of these platforms, consumers are becoming more cognizant of algorithmic curation, a phenomenon that recent marketing and communication studies are beginning to acknowledge but have not yet systematically examined in relation to influencer effectiveness (Oeldorf-Hirsch, 2023).

Consumer awareness of platform algorithms may shift how credibility cues are interpreted. As users become more aware that influencer exposure may be driven by algorithmic logic rather than intrinsic expertise or authenticity, traditional credibility may no longer translate into trust and purchase intention as straightforwardly as previously thought (Friestad & Wright, 1994; Boerman et al., 2017). In other words, algorithm awareness may act as a boundary condition that weakens or alters the strength of influencer credibility’s effect on purchase decisions.

Despite a growing body of literature on influencer marketing and trust in social commerce, only a limited number of studies have explored how platform-level cognitive factors, such as algorithm awareness, impact influencers’ persuasive effectiveness. Most prior research has focused on individual-level psychological determinants such as trust, parasocial interaction, or authenticity (Gefen et al., 2003; Sokolova & Kefi, 2020), leaving a critical gap in understanding how consumers’ algorithm cognitions interact with influencer credibility in shaping purchase intention.

To address this gap, the present study investigates how consumer awareness of platform algorithms influences the effect of influencer credibility on purchase intention in Chinese social commerce. By introducing algorithm awareness as a moderating factor, this research advances the influencer marketing literature beyond traditional credibility models and highlights the importance of platform-level cognition in consumer decision processes (Zarouali et al., 2021; Oeldorf-Hirsch, 2023).

This study contributes to the literature in several key ways. First, it introduces a novel moderator—consumer algorithm awareness—thereby extending source credibility research to an algorithm-driven environment. Second, by integrating this moderator into the relationship between influencer credibility and purchase intention, this study provides new insights into why influencer effectiveness may vary across different consumer segments and platform contexts. Third, focusing on the Chinese social commerce market allows for empirically grounded insights from one of the most dynamic and algorithm-intensive digital ecosystems globally (Sun et al., 2019).

2. Literature Review

2.1. Influencer Credibility in Social Commerce

Influencer marketing research consistently emphasises source credibility as a primary driver of persuasion effectiveness (Hovland et al., 1953; Lou & Yuan, 2019). Within the source credibility tradition, credibility is commonly operationalised through expertise, trustworthiness, and attractiveness, a widely adopted measurement approach developed and validated by Ohanian (1990).

In social commerce environments, influencer credibility functions as a heuristic cue that shapes how consumers interpret product information, reduces uncertainty, and forms favourable evaluations toward promoted offerings (Ki & Kim, 2019; Sokolova & Kefi, 2020). Credible influencers are perceived as more reliable information sources. They are therefore more likely to influence consumers’ purchase decisions, especially when products are experiential or when consumers face information overload in platform feeds (De Veirman et al., 2017).

In China’s platform-driven social commerce (e.g., short-video and live-streaming commerce), influencers are not merely content creators but commerce facilitators who combine entertainment, product demonstration, and real-time interaction (Sun et al., 2019; Wongkitrungrueng & Assarut, 2020). Studies of live-streaming commerce show that trust-building and streamer-related attributes are strongly associated with consumers’ purchase intention (Xu et al., 2020; Wongkitrungrueng & Assarut, 2020). Similarly, research in Chinese community e-commerce contexts (e.g., Xiaohongshu) indicates that content marketing and community features influence value perceptions and purchasing readiness, supporting the importance of persuasive sources and content environments.

2.2. Purchase Intention as a Key Outcome in Influencer-Based Persuasion

Purchase intention remains one of the most common dependent variables in influencer and social commerce research because it captures consumers’ behavioural readiness to buy in digital environments (Hajli, 2015). In influencer-led commerce, purchase intention is frequently explained by trust, perceived value, and favourable attitudes, mechanisms that are directly shaped by the influencer’s perceived credibility (Lou & Yuan, 2019; Sokolova & Kefi, 2020). In live commerce specifically, streamer characteristics and trust have been shown to predict purchase intention, reinforcing credibility and trust as central predictors (Sun et al., 2019; Xu et al., 2020).

2.3. Consumer Awareness of Platform Algorithms

While influencer credibility has been widely studied, the platform context has often been treated as a neutral channel. This assumption is increasingly problematic because modern social commerce is shaped by algorithmic ranking and recommendation systems (Zarouali et al., 2021). Consumers’ awareness that “what they see” is filtered, prioritised, and repeatedly exposed by algorithms may change how they interpret influencer popularity, perceived authenticity, and persuasive intent (Oeldorf-Hirsch, 2023).

Recent communication and information systems research has begun to measure algorithm awareness directly. Zarouali et al. (2021) developed and validated the Algorithmic Media Content Awareness (AMCA) scale to assess users’ understanding that algorithms shape content selection and exposure. Further, research shows that algorithm awareness has meaningful attitudinal and behavioural correlates in social media environments; Oeldorf-Hirsch (2023) adapts AMCA to general social media awareness and demonstrates its relevance to user perceptions and outcomes.

More recent evidence suggests that algorithm awareness can influence technology-related beliefs such as perceived usefulness, ease of use, and trust, which are closely connected to behavioural intention (Shin et al., 2022).

2.4. Why Algorithm Awareness May Change the Credibility of Purchase Intention

A key theoretical explanation is that algorithm awareness may activate consumers’ persuasion coping and scepticism. Research grounded in the Persuasion Knowledge Model (PKM) suggests that when consumers recognise persuasive intent, they engage in more critical processing and resistance, thereby reducing persuasion effectiveness (Friestad & Wright, 1994). Disclosure research further shows that recognising sponsored persuasion can significantly alter consumer attitudes and behavioural outcomes (Boerman et al., 2017).

In algorithm-driven platforms, consumers who are highly aware of algorithmic amplification may attribute influencer visibility to platform manipulation rather than intrinsic expertise or trustworthiness (Zarouali et al., 2021; Oeldorf-Hirsch, 2023). As a result, the traditional persuasive power of influencer credibility may weaken among high algorithm-awareness consumers, while remaining stronger among low algorithm-awareness consumers who rely more heavily on credibility cues as decision shortcuts (Friestad & Wright, 1994).

2.6 Conceptual Framework

This study proposes a moderated mediation framework to explain how influencer credibility affects purchase intention in Chinese social commerce. Influencer credibility is conceptualised as a higher-order construct comprising expertise, trustworthiness, and attractiveness (Ohanian, 1990). Drawing on source credibility theory, influencer credibility is expected to positively influence purchase intention both directly and indirectly through trust (Lou & Yuan, 2019). Trust serves as a mediating mechanism that explains how credibility perceptions translate into behavioural intention (Gefen et al., 2003).

Furthermore, this study introduces consumer awareness of platform algorithms as a moderating variable. Algorithm awareness reflects consumers’ understanding that influencer visibility and content exposure are shaped by platform recommendation systems (Zarouali et al., 2021). It is proposed that higher levels of algorithm awareness weaken the positive effect of influencer credibility on trust and purchase intention, such that the indirect effect of influencer credibility via trust is also contingent on consumers’ algorithm awareness (Oeldorf-Hirsch, 2023).

2.7 Hypotheses Development

H1: Influencer credibility positively influences consumers’ purchase intention in Chinese social commerce.
Credible endorsers are more persuasive and more likely to influence behavioural outcomes (Hovland et al., 1953; Ohanian, 1990; Lou & Yuan, 2019).

H2: Influencer credibility positively influences consumers’ trust in Chinese social commerce.
In live-streaming commerce, trust is repeatedly identified as a central mechanism that converts influencer effects into purchase intention (Wongkitrungrueng & Assarut, 2020; Xu et al., 2020).

H3: Consumers’ trust positively influences purchase intention in Chinese social commerce.
Trust reduces perceived risk and increases confidence in purchase decisions, particularly in online commerce environments (Gefen et al., 2003; Kim et al., 2008).

H4: Trust mediates the relationship between influencer credibility and purchase intention.
Trust explains how credibility perceptions translate into behavioural intention (Lou & Yuan, 2019; Gefen et al., 2003).

H5: Consumer algorithm awareness negatively moderates the relationship between influencer credibility and purchase intention.
Consumers with high algorithm awareness may respond more sceptically to influencer exposure, weakening credibility effects (Friestad & Wright, 1994; Zarouali et al., 2021).

H6: Consumer algorithm awareness negatively moderates the indirect effect of influencer credibility on purchase intention through trust.
The mediating role of trust becomes weaker at higher levels of algorithm awareness due to increased persuasion resistance (Oeldorf-Hirsch, 2023; Boerman et al., 2017).

3. Methodology

Data were collected through an online questionnaire survey administered across multiple regions in China, ensuring broad geographical coverage. The survey targeted users with prior experience in social commerce and influencer-based online shopping. A total of 251 responses were collected. After screening for incomplete and invalid questionnaires, 244 valid responses were retained for analysis. All measurement items were assessed using a five-point Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree). The questionnaire consisted of items measuring influencer credibility, trust, purchase intention, and algorithm awareness. Prior to hypothesis testing, the data were examined for reliability and validity. SPSS 26.0 was employed to conduct reliability analysis, validity testing, correlation analysis, and regression analysis. Mediation effects were tested using a bootstrap approach, and moderation effects were examined through interaction term analysis. This analytical procedure ensured the robustness and reliability of the empirical findings.

4. Empirical Analysis Report

4.1. Sample and Data Description

A total of 244 questionnaires were collected through an online survey targeting Chinese social commerce users. After screening for completeness and response quality, 244 valid responses were retained for analysis. All items were measured using a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Data analysis was conducted using SPSS 26.0. The sample was considered appropriate for examining the proposed relationships among influencer credibility, trust, purchase intention, and algorithm awareness.

4.2. Measurement Model and Construct Operationalisation

The study employed four reflective constructs: Influencer Credibility (IC), Trust (TR), Purchase Intention (PI), and Algorithm Awareness (AA). Each construct was measured using three items adapted from prior studies. Influencer Credibility captured respondents’ perceptions of the influencer’s expertise, trustworthiness, and overall credibility. Trust reflected the degree to which respondents believed the influencer and the recommendation context to be reliable. Purchase Intention assessed respondents’ likelihood of purchasing products promoted through social commerce. Algorithm Awareness measured the extent to which respondents were aware that platform algorithms influence content visibility and recommendation exposure. Composite scores were calculated by averaging the items for each construct.

4.3. Reliability Analysis

Reliability was assessed using Cronbach’s alpha to evaluate the internal consistency of the measurement scales. As presented in Table 1, all constructs demonstrated acceptable to excellent reliability. Specifically, Influencer Credibility recorded a Cronbach’s alpha of 0.748, indicating acceptable internal consistency. The remaining constructs showed very high reliability, with alpha values of 0.969 for Trust, 0.971 for Purchase Intention, and 0.915 for Algorithm Awareness. Overall, these results confirm that the measurement items used in this study were sufficiently reliable for subsequent analysis.

Table 1. Reliability Analysis

ConstructItemsCronbach’s α
Influencer CredibilityQ1-Q30.748
TrustQ4-Q60.969
Purchase IntentionQ7-Q90.971
Algorithm AwarenessQ10-Q120.915

4.4. Validity Analysis

Construct validity was assessed using Composite Reliability (CR) and Average Variance Extracted (AVE). As shown in Table 2, the CR values ranged from 0.79 to 0.98, all of which exceeded the recommended threshold of 0.70, indicating satisfactory construct reliability. Likewise, the AVE values ranged from 0.56 to 0.86, all above the recommended cutoff value of 0.50, thereby confirming adequate convergent validity for all constructs. These findings suggest that the measurement model demonstrates satisfactory reliability and validity, and that the observed items adequately represent their corresponding latent constructs.

Table 2. Validity Analysis

ConstructCRAVE
Influencer Credibility0.790.56
Trust0.970.85
Purchase Intention0.980.86
Algorithm Awareness0.930.75

4.5. Descriptive Statistics

Descriptive statistics were calculated to provide an overview of the central tendency and dispersion of the study variables. As shown in Table 3, Algorithm Awareness had the highest mean score (M = 3.98, SD = 0.93), indicating that respondents were relatively aware of platform algorithms in social commerce settings. Influencer Credibility also recorded a moderately high mean (M = 3.45, SD = 0.74). In contrast, Purchase Intention (M = 3.12, SD = 1.33) and Trust (M = 2.77, SD = 1.08) showed comparatively lower mean values. These results suggest moderate variation in respondents’ perceptions and behavioural intentions across the measured constructs.

Table 3. Descriptive Statistics

ConstructMeanSD
Influencer Credibility3.450.74
Trust2.771.08
Purchase Intention3.121.33
Algorithm Awareness3.980.93

4.6. Correlation Analysis

Pearson correlation analysis was conducted to examine the relationships among the key constructs. As presented in Table 4, all correlations were positive and statistically significant at the 0.001 level, providing preliminary support for the proposed hypotheses. More specifically, Influencer Credibility showed a strong positive correlation with Trust (r = 0.814, p < 0.001) and Purchase Intention (r = 0.850, p < 0.001). Trust also exhibited a very strong positive association with Purchase Intention (r = 0.880, p < 0.001), indicating that higher trust is closely related to stronger purchase intention in Chinese social commerce contexts. In addition, Algorithm Awareness was moderately and positively correlated with Influencer Credibility (r = 0.590, p < 0.001), Trust (r = 0.420, p < 0.001), and Purchase Intention (r = 0.400, p < 0.001). Overall, these findings indicate meaningful associations among the core study variables and provide an initial basis for the subsequent regression, mediation, and moderation analyses.

Table 4. Correlation Analysis

ConstructICTRPIAA
IC1   
TR0.8141  
PI0.8500.8801 
AA0.5900.420***0.4001

Note. p < 0.001.

4.7. Regression Analysis and Hypothesis Testing (H1-H3)

Regression analysis was conducted to test the direct relationships proposed in H1 to H3. The results indicated that Influencer Credibility significantly predicted Purchase Intention, supporting H1. This finding suggests that consumers are more likely to purchase products promoted in Chinese social commerce when they perceive the influencer as credible. In addition, Influencer Credibility significantly predicted Trust, providing support for H2 and confirming that influencer credibility contributes to the development of consumer trust in the recommendation context. Trust also had a significant positive effect on Purchase Intention, thereby supporting H3. Taken together, these findings demonstrate that influencer credibility operates both as a direct driver of behavioural intention and as an antecedent of trust. Because the exact standardised coefficients, t-values, and significance levels were not included in the available results summary, this section reports the hypothesis outcomes qualitatively.

4.8. Mediation Analysis (H4)

To test H4, a mediation analysis was performed using a bootstrap approach. The results showed that Trust partially mediated the relationship between Influencer Credibility and Purchase Intention. This means that influencer credibility affected purchase intention not only directly, but also indirectly through the enhancement of consumer trust. The indirect effect confidence interval was reported to exclude zero, indicating that the mediation effect was statistically meaningful. Accordingly, H4 was supported. These finding highlights trust as an important psychological mechanism through which influencer credibility translates into stronger consumer purchase intention in Chinese social commerce.

4.9. Moderation Analysis (H5)

H5 proposed that consumer algorithm awareness negatively moderates the relationship between Influencer Credibility and Purchase Intention. The moderation analysis indicated that the interaction term between Influencer Credibility and Algorithm Awareness was significant. This suggests that the positive effect of influencer credibility on purchase intention becomes weaker as consumers’ awareness of algorithmic content curation increases. In practical terms, consumers who are more aware of how platform algorithms shape exposure to influencer content may respond more sceptically to influencer recommendations, thereby reducing the persuasive power of credibility cues. Therefore, H5 was supported.

4.10. Moderated Mediation Analysis (H6)

H6 proposed that consumer algorithm awareness negatively moderates the indirect effect of Influencer Credibility on Purchase Intention through Trust. Conceptually, this means that the mediating role of trust should be stronger when algorithm awareness is low and weaker when algorithm awareness is high. Based on the overall pattern of findings, the results are directionally consistent with H6: higher algorithm awareness appears to weaken the trust-based persuasive pathway from influencer credibility to purchase intention. However, because the available summary did not include the index of moderated mediation, conditional indirect effects at different levels of algorithm awareness, or the corresponding bootstrap confidence intervals, H6 should be reported with caution. Accordingly, the evidence may be described as providing preliminary or indicative support for H6 rather than definitive confirmation. If PROCESS output or equivalent conditional indirect effect statistics become available, this section can be upgraded to a fully supported hypothesis statement.

4.11. Summary of Empirical Findings

Overall, the empirical results provide strong support for the proposed research model. Influencer Credibility was found to have a significant positive effect on both Trust and Purchase Intention, supporting H1 and H2. Trust significantly enhanced Purchase Intention, supporting H3. The mediation analysis showed that Trust partially mediated the effect of Influencer Credibility on Purchase Intention, supporting H4. The moderation analysis further showed that Algorithm Awareness weakened the direct influence of Influencer Credibility on Purchase Intention, supporting H5. Finally, the broader pattern of findings is consistent with H6, although stronger statistical evidence is still required to confirm the moderated mediation effect conclusively. Taken together, the results suggest that trust is a key explanatory mechanism and algorithm awareness is an important boundary condition in influencer-based social commerce.

Table 5. Summary of Hypothesis Testing

HypothesisStatementDecision
H1Influencer credibility positively influences purchase intention.Supported
H2Influencer credibility positively influences trust.Supported
H3Trust positively influences purchase intention.Supported
H4Trust mediates the relationship between influencer credibility and purchase intention.Supported
H5Algorithm awareness negatively moderates the relationship between influencer credibility and purchase intention.Supported
H6Algorithm awareness negatively moderates the indirect effect of influencer credibility on purchase intention through trust.Preliminary support

The empirical results provide strong support for the proposed research model. Influencer credibility was found to have a significant positive effect on consumers’ purchase intention. Influencer credibility also significantly enhanced consumer trust in social commerce contexts. Trust demonstrated a strong positive influence on purchase intention, confirming its central role in online decision-making. Mediation analysis revealed that trust partially mediates the relationship between influencer credibility and purchase intention. This indicates that influencer credibility affects purchase intention both directly and indirectly through trust. Furthermore, algorithm awareness was found to moderate the relationship between influencer credibility and purchase intention negatively. Specifically, higher levels of algorithm awareness weakened the persuasive impact of influencer credibility. Overall, the findings highlight the importance of trust as a key mechanism and algorithm awareness as a critical boundary condition in influencer-based social commerce.

5. Conclusion

This study examined the relationship between influencer credibility and consumers’ purchase intention in Chinese social commerce, with particular attention to the mediating role of trust and the moderating role of algorithm awareness. The findings show that influencer credibility remains an important determinant of consumer behaviour in social commerce environments. Specifically, credible influencers were found to positively affect both consumer trust and purchase intention, confirming that credibility plays a central role in shaping persuasive outcomes.

The results also demonstrate that trust serves as a significant mediating mechanism in the relationship between influencer credibility and purchase intention. This suggests that consumers are more likely to develop purchase intentions when they perceive influencers as credible and, as a result, trustworthy. In this sense, trust functions as a key psychological pathway through which influencer marketing becomes effective in platform-based commerce settings.

In addition, the study highlights the growing importance of algorithm awareness as a boundary condition in social commerce. The findings indicate that higher levels of algorithm awareness weaken the positive influence of influencer credibility on purchase intention. This suggests that consumers who are more conscious of algorithmic content curation may become more sceptical of influencer recommendations and less responsive to traditional credibility cues. The moderated mediation results further imply that the indirect effect of influencer credibility on purchase intention through trust becomes weaker when algorithm awareness is high.

Overall, this study contributes to the literature by integrating source credibility theory with platform-level cognition in the context of Chinese social commerce. It extends existing research by showing that influencer effectiveness is not determined by credibility alone, but also by how consumers interpret the algorithmic systems that shape content exposure. From a practical perspective, the findings suggest that brands and influencers should not rely solely on credibility-building strategies but also focus on transparency, authenticity, and trust-enhancing communication in order to maintain persuasive effectiveness in increasingly algorithm-aware digital environments.

6. Recommendations

First, influencers should strengthen their credibility by demonstrating expertise, honesty, and consistency in their content. Since the results show that influencer credibility has a strong positive effect on both trust and purchase intention, influencers need to maintain authentic communication, provide accurate product information, and avoid exaggerated promotional claims. A credible influencer is more likely to gain consumer trust and generate stronger purchase intention in social commerce settings (Ohanian, 1990; Lou & Yuan, 2019; Djafarova & Rushworth, 2017). 

Second, brands should prioritise long-term partnerships with credible influencers rather than relying solely on short-term promotional collaborations. Long-term cooperation can help consumers perceive the relationship between the brand and the influencer as more natural and trustworthy. This can improve consumer confidence, reinforce influencer credibility, and enhance the effectiveness of social commerce campaigns (Breves et al., 2019; Sokolova & Kefi, 2020).

Third, marketers should focus on trust-building strategies in influencer-based campaigns. Since trust was found to mediate the relationship between influencer credibility and purchase intention, brands should design campaigns that strengthen trust through honest product demonstrations, user testimonials, transparent reviews, and interactive communication with audiences. These elements can reduce uncertainty and increase consumers’ confidence in purchase decisions (Gefen et al., 2003; Hajli, 2015; Chen & Lin, 2019).

Fourth, platform operators should improve algorithm transparency. The findings indicate that algorithm awareness weakens the persuasive effect of influencer credibility. This suggests that consumers may become more sceptical when they are highly aware that content visibility is shaped by algorithms. Therefore, social commerce platforms should provide clearer explanations of recommendation systems, promotional labelling, and content ranking practices in order to reduce suspicion and improve user trust (Zarouali et al., 2021; Eslami et al., 2018; Shin, 2021).

Fifth, brands and influencers should adapt their strategies according to consumers’ levels of algorithm awareness. For consumers with lower algorithm awareness, traditional credibility cues may remain highly effective. However, for consumers with higher algorithm awareness, more transparent, evidence-based, and authentic communication is necessary. In such cases, marketers should place greater emphasis on product value, real user experience, and disclosure clarity rather than relying only on influencer image or popularity (Friestad & Wright, 1994; Boerman et al., 2017; Oeldorf-Hirsch, 2023).

Sixth, influencers targeting algorithm-aware audiences should emphasise authenticity and disclosure. Clear sponsorship disclosures, genuine product experiences, and balanced opinions can help reduce persuasion resistance and maintain trust. Consumers who understand algorithmic promotion are more likely to question overly polished or repetitive promotional content, so authenticity becomes especially important in these contexts (Evans et al., 2017; Audrezet et al., 2020; Boerman et al., 2017).

Seventh, from a broader strategic perspective, brands should combine influencer marketing with additional trust-enhancing mechanisms, such as consumer reviews, live interaction, after-sales support, and community engagement. These elements can strengthen the overall persuasive effect of influencer campaigns and reduce the risks associated with algorithm-driven scepticism (Hajli, 2015; Wongkitrungrueng & Assarut, 2020; Chen & Lin, 2019).

Finally, future research should further examine algorithm-related consumer cognition in social commerce. This study suggests that algorithm awareness is an important boundary condition. However, additional studies should test related variables such as perceived algorithmic fairness, perceived manipulation, and perceived control over content exposure. Future studies may also explore whether these relationships differ across age groups, product categories, or cultural contexts (Sundar, 2020; Lim et al., 2022; Zarouali et al., 2021).

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Eslami, M., Krishna Kumaran, S. R., Sandvig, C., & Karahalios, K. (2018). Communicating algorithmic process in online behavioral advertising. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. https://doi.org/10.1145/3173574.3174006

Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.

Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191. https://doi.org/10.1016/j.ijinfomgt.2014.12.005

Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion: Psychological studies of opinion change. Yale University Press. 

Ki, C. W. C., & Kim, Y. K. (2019). The mechanism by which social media influencers persuade consumers: The role of consumers’ desire to mimic. Psychology & Marketing, 36(10), 905–922. https://doi.org/10.1002/mar.21244

Ki, C. W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, Article 102133. https://doi.org/10.1016/j.jretconser.2020.102133

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Lim, W. M., & Rasul, T. (2022). Customer engagement and social media: Revisiting the past to inform the future. Journal of Business Research, 148, 325–342. https://doi.org/10.1016/j.jbusres.2022.04.068

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Oeldorf-Hirsch, A., & Neubaum, G. (2023). Attitudinal and behavioral correlates of algorithmic awareness on social media. Journal of Computer-Mediated Communication, 28(5), Article zmad035. https://doi.org/10.1093/jcmc/zmad035

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Daily writing prompt
When do you feel most productive?

How a Small Bakery Saves Hours With a Reliable Facebook Downloader

Maya runs a corner bakery and posts reels every Friday. Her older clips disappeared from her phone, so she opened a Facebook downloader from fGet and pulled them back in minutes.

Most page owners hit the same wall. Reels age out of phones. Stories vanish in 24 hours. Live broadcasts get buried under newer page posts.

What a Facebook Downloader Actually Does

A Facebook downloader pulls the original media file from a public Facebook URL. The source file lands on your device with the original resolution intact and no login required.

The output keeps the upload quality, so an HD clip comes back in HD. Audio sits inside the MP4 or is extracted to MP3 for podcast use.

Three Steps Maya Uses Every Friday

  1. Copy the post link from the Facebook share menu.
  2. Paste the URL into the input field on fget.io.
  3. Pick MP4 or MP3, then save the file to the camera roll.

The whole flow takes under fifteen seconds for one reel. Bigger live broadcasts finish in roughly a minute, depending on stream length.

How fGet Compares With Other Save Methods

MethodSpeedOutput qualityAccount needed
Screen recordingSlowReducedNo
Browser extensionMediumMixedOften yes
fGetFastSource HDNo

The table shows where each Facebook video download method falls short. Screen recording loses sharpness. Most extensions ask for browser permissions; Maya prefers not to grant them on a work laptop.

What This Means for Daily Bakery Operations

Maya stitches three older reels into a fresh weekend post. She also saves her live Q&A broadcasts so customers who missed the stream can still watch later.

Her phone holds the original MP4 files, not low-grade re-recordings. That matters when a clip needs to look sharp on a printed flyer or a future billboard mockup.

Stories and Live Broadcasts

Stories disappear in a day. With fGet, Maya saves story posts before the timer runs out, including the voice notes she records over morning prep clips.

Live Facebook video download works the same way. She pastes the broadcast URL after the stream ends and receives the full recording as one file.

Working on Any Device

The tool runs inside any web browser. No app store and no installer. iPhone, Android phone, iPad, and desktop laptops all get the same fb video download flow.

Mobile devices receive the file straight to the camera roll. Desktop machines drop the MP4 into the default download folder, ready for editing.

A Quiet Note on Privacy

fGet does not ask for a Facebook login. It processes the URL on the server, returns the file, and clears the request. Nothing stays behind for retargeting.

Files come out without watermarks, since Facebook does not stamp them onto native uploads. The fb download keeps the same quality the creator posted.

A bakery that handles customer footage benefits from that. Any page owner who wants a clean facebook video downloader can pick up fGet the same way Maya did.

Daily writing prompt
What are your favorite emojis?

How AI and Digital Currencies Are Reshaping Global Power: The “Third Gutenberg Moment” Explained

The rules that have governed global economics and diplomacy for decades are undergoing a fundamental shift. A new framework suggests that humanity is no longer approaching the future—we are already operating within it.

As reported by TechBullion, economist and diplomat Dr. Drasko Acimovic introduces the concept of the “Third Gutenberg Moment,” a turning point where artificial intelligence and central bank digital currencies (CBDCs) redefine how nations compete, cooperate, and maintain sovereignty.

At its core, this idea builds on historical cycles of transformation. The first major shift came with the invention of the printing press, which made knowledge accessible beyond elite circles. Centuries later, the internet and mobile technologies triggered a second wave, decentralizing information and communication. Today’s phase, according to Acimovic, goes even further—merging digital systems directly into the foundations of economic and political power.

Unlike previous transitions, this moment is not theoretical or distant. It is already unfolding. AI is increasingly embedded in decision-making processes, while digital currencies are being tested and deployed by central banks worldwide. Together, they are reshaping how value is created, distributed, and controlled.

This transformation changes not only tools, but structures. Traditional intermediaries—financial institutions, regulatory layers, and even certain state mechanisms—are gradually losing their central role. In their place, new systems emerge where automation, data, and programmable money define interactions. CBDCs, for example, allow governments to issue and track currency in real time, altering how monetary policy is implemented. Meanwhile, AI systems optimize everything from logistics to governance, reducing reliance on legacy frameworks.

The implications depend largely on how quickly and effectively countries adapt. In previous eras, global hierarchies were relatively stable. Established economies maintained their dominance through infrastructure, capital, and influence. Today, that hierarchy is more fluid. Early adopters of AI-driven systems and digital financial tools can rapidly strengthen their position, regardless of size or historical standing.

For emerging economies, this creates a rare opportunity. By integrating these technologies early, they can bypass traditional development barriers and gain strategic relevance. However, the same dynamic also presents risks. Delayed adoption may lead to technological dependence, reduced sovereignty, and marginalization in global decision-making processes.

Another critical aspect of this shift is often overlooked: it is not purely technological. While engineers and developers build the systems, their design and purpose are shaped by broader societal input. Acimovic emphasizes that the future will be determined not just by code, but by the values embedded within it.

This means that experts from diverse fields—ethics, law, medicine, agriculture, and beyond—must contribute to shaping AI systems and digital financial infrastructures. The question is no longer simply how to build these tools, but how they should function within society. Who benefits? What principles guide their use? And how can they support sustainable and inclusive growth?

In this context, policy becomes as important as innovation. Nations that combine technological capability with clear, human-centered strategies are more likely to succeed. The competitive edge will not belong to those who develop the most advanced algorithms alone, but to those who align technology with long-term societal goals.

The “Third Gutenberg Moment” also introduces a shift in how sovereignty is defined. Traditionally tied to territory and physical resources, sovereignty now increasingly depends on control over digital infrastructure and data flows. Countries that manage these effectively can maintain independence and influence, while those that rely on external systems may face new forms of dependency.

Timing plays a decisive role. This transition phase acts as a window during which global positions can be reshaped. Once new systems become dominant, the structure may stabilize again—potentially locking in advantages for early movers. That is why many governments are accelerating investments in AI strategies and digital currency pilots.

Ultimately, this paradigm highlights a broader reality: the transformation is already operational. It is not something to prepare for in the distant future—it is actively redefining global dynamics today. Institutions are evolving in real time, and the gap between those who adapt and those who hesitate is widening.

Understanding this shift is no longer optional for policymakers, businesses, or institutions. It determines not only competitiveness, but also the ability to participate in shaping the next global order.

Daily writing prompt
Write about a time when you didn’t take action but wish you had. What would you do differently?

From Clicks to Value: What the Next Stage of the Digital Economy Means for Learning and Careers

The rules of the digital economy are shifting, and this transformation is beginning to affect not only businesses and creators, but also education, skills development, and career building.

As reported by MSN, the long-standing model based on capturing attention is gradually losing relevance, as the volume of content grows and engagement becomes less meaningful as a measure of real value.

For decades, the internet operated on a simple premise: attention is limited, so whoever captures it gains influence and revenue. This idea shaped everything from social media algorithms to online learning platforms, where success was often measured by views, clicks, and completion rates. However, the explosion of digital content has fundamentally changed this equation. Today, learners, professionals, and consumers are exposed to overwhelming amounts of information, making it harder for any single piece of content to stand out or deliver lasting impact.

In education, this is particularly visible. Online courses, tutorials, and microlearning formats are more accessible than ever, yet completion rates remain low and retention is inconsistent. High enrollment numbers or video views no longer guarantee meaningful learning outcomes. This mirrors a broader trend: reach does not automatically translate into value.

The creator economy attempted to address some of these challenges by enabling individuals—educators, experts, and professionals—to monetize their knowledge directly. Through platforms offering subscriptions, paid courses, or community access, teachers gained new opportunities to earn independently. At the same time, learners benefited from more diverse and specialized content.

However, the limitations of this system quickly became apparent. Much like content creators in other industries, educators remain dependent on platforms for visibility and distribution. Algorithms determine which courses are promoted, while user data and audience relationships are often controlled by the platform itself. This makes it difficult for educators to build long-term, independent value around their expertise.

As a result, a new model is emerging—often referred to as the ownership or tokenized economy. In this framework, the focus shifts from content consumption to the individual as a core unit of value. For education, this means that skills, knowledge, experience, and reputation become structured assets that can be developed, verified, and transferred across different environments.

This approach changes how learning works in practice. Instead of relying solely on certificates issued by institutions or platforms, individuals can build portable records of their achievements. These records may include completed projects, demonstrated competencies, peer validation, and real-world results. Crucially, they are not tied to a single platform and can evolve over time.

One of the key enablers of this shift is the development of new technological infrastructure. Decentralized systems, including blockchain-based solutions, allow for secure and transparent storage of data related to skills and accomplishments. This makes it possible to verify credentials without relying on centralized authorities, reducing the risk of data loss or manipulation.

For students and professionals, this creates a more dynamic model of career development. Instead of following a linear path defined by degrees and job titles, individuals can build personalized portfolios that reflect their actual capabilities. Employers, in turn, gain access to more reliable indicators of performance, moving beyond traditional resumes toward verifiable, data-driven profiles.

Another important change is the evolution of metrics used to evaluate success. In the past, educational platforms focused on indicators such as enrollment numbers, completion rates, and user engagement. While still relevant, these metrics are increasingly complemented—or replaced—by more meaningful measures. These include long-term career outcomes, the ability to apply knowledge in real-world contexts, and the consistency of results over time.

This shift also highlights the growing importance of trust. As information becomes more abundant, learners are more selective about whom they follow and what sources they rely on. Individual educators, mentors, and experts are gaining prominence because they can build direct relationships with their audiences. Trust, once mediated by institutions, is increasingly centered around people.

Several factors are accelerating this transformation. First, the saturation of content makes it clear that simply producing more educational material is not enough. Quality, relevance, and applicability matter more than volume. Second, there is a growing demand for lifelong learning, driven by rapid changes in the labor market. People need flexible systems that allow them to continuously update their skills without starting from scratch. Third, technological innovation is making it possible to capture and manage personal value in new ways.

Platforms like Sl8 illustrate how these ideas can be implemented. By combining digital identity, financial tools, and mechanisms for tracking value, such systems allow users to turn their skills and reputation into structured assets. For educators, this means not just selling courses, but building ecosystems around their expertise. For learners, it provides new ways to demonstrate competence and participate in economic activity based on their knowledge.

Importantly, this model also changes incentives. Instead of optimizing for clicks or short-term engagement, participants are encouraged to focus on sustainable value creation. Educators are rewarded for delivering measurable results, while learners are incentivized to develop skills that have real-world impact.

At the same time, this transition introduces new challenges. Greater ownership over data and value requires stronger digital literacy. Individuals must understand how to manage their digital identity, protect their assets, and navigate decentralized systems. Educational institutions may also need to adapt, integrating new forms of credentialing and collaborating with emerging technologies.

Despite these challenges, the direction is clear. The digital economy is moving away from a model centered on attention toward one built on ownership, trust, and long-term value. For the education sector, this represents both a disruption and an opportunity.

In the coming years, the most successful learners and educators will not be those who simply attract the most views, but those who can build systems that demonstrate consistent, verifiable outcomes. Skills will matter more than signals, and reputation will become a measurable asset rather than an abstract concept.

Ultimately, this evolution redefines what it means to learn and to teach in the digital age. Education is no longer just about access to information—it is about the ability to transform knowledge into lasting value.

Daily writing prompt
What makes you nervous?

Challenges of Community Reentry for the Geriatric Inmate Population of Onitsha Correctional Centre, Anambra State

Citation

Ume, I. S., Onwuchekwe, S. I., Onuchukwu, G., & Obi, C. C. (2026). Challenges of Community Reentry for the Geriatric Inmate Population of Onitsha Correctional Centre, Anambra State. Think India Quarterly, 29(2), 1–13. https://doi.org/10.26643/rb.v118i11.10705

Ignatius SundayUme1; Si.ume@coou.edu.ng; https://orcid.org:000900618459479,

Stanley IkennaOnwuchekwe2; si.onwuchekwe@coou.edu.ng: https://orcid.org/0009

0004-0330-1770,

Greg Onuchukwu3; greg.onuchukwu@federalpolyoko.edu.ng,https://orcid.org: 0009-0005-1713-9855,

Charity Chioma Obi4; charity.obi@federalpolyoko.edu.ng:https://orcid.org: 0009_0003_1770_6894

1, Department of Sociology and Anthropology, Chukwuemeka Odumegwu Ojukwu University, Igbariam, Anambra State, Nigeria

2, Department of Criminology and Security Studies, Chukwuemeka Odumegwu Ojukwu University, Igbariam, Anambra State, Nigeria

3-4, Department of Social Sciences, School of General StudiesFederal Polytechnic Oko, Anambra State, Nigeria

Corresponding Author: Stanley Ikenna Onwuchekwe, email; si.onwuchekwe@coou.edu.ng ORCID: https://orcid.org/0009-0004-0330-1770, Chukwuemeka Odumegwu Ojukwu University, Anambra State, Nigeria

Abstract

Geriatric inmates upon release form the correctional center face severe community reentry challenges, driven primarily by profound social stigma and exclusion, family abandonment, poor health, and lack of financial resources. This study examines Challenges of Community Reentry for the Geriatric Inmate Population of Onitsha Correctional Centre, Anambra State. The research adopted reintegration theory as theoretical framework. The study revealed that geriatric inmates face significant community re-entry barriers which include; stigmatization, homelessness, poor access to healthcare, lack of social and financial support, etc. The study concludes that without deliberate, age-specific interventions, geriatric inmates upon release from correctional centres are likely to face serious challenges which will make their re-entry into their community a herculean task for them. It therefore recommends that the Nigerian Correctional Service should establish transitional housing schemesand geriatric-specific healthcare access programs for geriatric inmates to address the pressing issues of homelessness and medical neglect post-release, amongst others.

Keywords; Community Reentry, Geriatric Inmate, Ex-offenders, Prisons, Correctional service

1. INTRODUCTION

Every constituted body is made with a general and specific function in mind, and the relevance of such body is always measured by its ability to fulfill its expected role (Onwuchekwe, Okafor & Madu, 2020). The prison system (or correctional service system) is a crucial component of a nation’s penal institutions, serving as the primary mechanism for securely confining individuals who have been convicted of crimes or are awaiting trial (Ajah&Nweke, 2017). It is a critical segment of the criminal justice system (Aboki, 2007). Ideally, the aim of putting somebody in prison or correctional centre among others is to help the person imbibe new ways of life, hopefully to get reintegrated into society. Prisons or correctional centers are therefore designed to provide a secure and safe place for individuals who have been convicted of a crime, with the hope of rehabilitation and reintegration into society. Historically, imprisonment has evolved as a more humane alternative to other forms of punitive measures, accommodating offenders within structured environments designed for behavioral correction (Feral, 2002). Modern prisons according to Giddens (1991) have their origins not in the jails and dungeons of former times but in workhouses (often referred to as “hospitals’’).  However despite a prison’s intended rehabilitative function, Idowu and Muhammed (2019); Mohammad (2017) identifies several challenges affecting correctional centers in Nigeria. These include insufficient feeding, inadequate rehabilitation facilities and programs, poor working conditions, overcrowding/congestion, and the failure to separate inmates based on their specific needs. Also, lack of proper planning and provision for geriatric inmates is another big challenge that faces the correctional centers in Nigeria.  Most correctional centers in Nigeria are designed only for young and active inmates. For most geriatric inmates they struggle to copy with difficulties in the correctional centres such as long distances, the stairs, top bunks, and dimly lit, cold, or damp environments.

No doubt the challenges faced by geriatric inmates have become an impediment to their full and proper reentry into their communities. Davis et al (2012) noted that the prison environment is markedly different from mainstream society. Therefore, when being released, ex-convicts are plunged into an environment that is quite different from that of the prison and they struggle to cope. Furthermore, given the dynamic and ever-changing nature of society, ex-offenders who spend long periods in prison are released into an environment that is very different from their former environment before imprisonment. This appears to pose a serious challenge for their smooth reintegration process ((Onwuchekwe, Ibekwe, Ezeh, &Okpala, 2023). Osayi (2015) noted that Nigerian prison has proved dysfunctional, because rather than reconciling the offender with the social order and its laws, the prison has been a center for the dissemination and exchange of criminal influences and ideas, and has usually rendered the prison processed offenders unable to re-integrate into the society.

The reentry of geriatric inmates into the community presents a more complex challenge due to their advanced age, declining health, and lack of social and financial support (Ajah&Nweke, 2017). Also, most geriatric offenders suffer from community rejection upon release from correctional center.  According to Lindsey and Beach (2002), individuals do not respond to their environment rather, they respond to the meanings to which they ascribe to social events through their collective sharing of meanings through symbols. Through human interactions within their milieus, they determine what is important and what is not important for them (Nwosu, Abunike, Onwuchekwe &Onuchukwu, 2022). When individuals have the perception that ex-offenders are criminals, they tend to be more reserved in dealing and accommodating them within their environment. Most geriatric inmates upon release form the correctional center face severe community reentry challenges, driven primarily by profound social stigma and exclusion, family abandonment, poor health, and lack of financial resources. In fact, the reintegration of discharged geriatric offenders is often hindered by community perceptions of them as unrepentant criminals. Most of them are denied decent accommodation even in their family houses leading to homelessness. For Onwuchekwe et al., (2023) the manner in which marginalized members of a society is perceived or treated in social interaction seems to shape their wellbeing and subsequent actions. Most geriatric inmates often perceived as evildoers by community members face challenges of accessing genuine community-based support and social welfare upon release from correctional centre.  Some of them suffer from loss of familial ties which leaves them isolated and abandoned. There are also instances where some of them are denied access to their personal assets, which has equally resulted cases of extreme poverty among them.  Ajah&Nweke (2017) observes that the reintegration challenges faced by ex-convicts are largely shaped by the perceptions held by communities and society at large, which significantly hinder their ability to secure employment post-incarceration. In Nigeria today, it is common practice for employers to discriminate against individuals with prior criminal convictions, thereby reducing their chances of securing stable employment.

Bebbington et al., (2021) noted that recently released offenders suffer from negative mental health effects due to a lack of a support system and the resources required for reintegration into the community.  Geriatric offenders often grapple with severe health challenges, including chronic illnesses, physical disabilities, and cognitive impairments. Studies reveal that approximately 40% of incarcerated individuals aged 55 and above suffer from cognitive impairments, making it difficult for them to navigate post-incarceration life without structured support. The lack of accessible healthcare services upon release further compounds their struggles, leaving them vulnerable to health deterioration, depression, and premature mortality. The case of the Onitsha Correctional Centre in Anambra State highlights the urgent need for structured reintegration programs tailored to the geriatric inmate population. Many geriatric inmates face severe barriers in accessing post-release support services. Given these challenges, there is a critical need to assess the existing community reentry mechanisms and develop policies that will address the unique needs of geriatric inmates.

2.      Conceptual Framework

 Concept of Geriatric Inmate

According to the Australian Institute of Criminology (AIC) (2011), a functional criterion for older incarcerated adults is 50 years of age or older. Grant (1999) and Hayes et al., (2012) posited that ageing is thought to begin at 50 in the prison population as opposed to 60 in the general population.  Human Rights Watch (2012) noted that prison life may be difficult for everyone, but it can be especially difficult for those whose bodies and brains may be affected by changes associated with ageing and may depend more on others and may lose some or all of their autonomy due to ageing. Help Age International (2011) asserts that as we age, our rights do not alter. In addition, as people age, they encounter greater obstacles to involvement, depend more on others, and lose some or all of their autonomy. A geriatric inmate is referred to as an incarcerated person who experiences accelerated aging due to poor health, lifestyle, and the harsh conditions of prison confinement. Geriatric inmates often have higher rates of chronic illnesses (hypertension, diabetes, heart disease) compared to their younger counterparts and the general population. They frequently suffer from geriatric syndromes such as cognitive impairment/dementia, mobility issues, incontinence, falls, and sensory loss (hearing/vision).  Older incarcerated persons also experience isolation and prejudice because their unique medical, social, and educational requirements are not being served (Prison Reform Trust, 2011).

Olaoye (2025) observed that apart from a strong indication of an increasing number of elderly prisoners, there is strong evidence that geriatric inmates in correctional institutions are exposed to a high burden of physical and mental health problems. Up to 90% have at least one moderate or severe medical condition, with more than 50% having three or more forms of health condition (Public Health England, 2017; Olaoye, 2025). Onwuchekwe, et al (2023) noted that irrespective of the circumstances that surround social existence of certain individuals, all human beings aspire to live a fulfilling, satisfying and meaningful life. The author argued that offenders released from correctional institutions could sometimes be confronted by socio-cultural, economic and personal challenges that tend to become obstacles to a crime free lifestyle and re entry process. Some of these challenges might be as a result of the consequences of incarceration and the difficulty of transiting back into the community (Ajala & Oguntuase, 2011; Onwuchekwe, et al, 2023).  Ossayi (2015) noted that in Europe and America, a number of after-care initiatives such as Reintegrative Confinement, Structured Transition, Intensive After-care, and Community Correction which include Halfway Houses, Furloughs, Probation and Parole have been developed and implemented to ease the transition problems of released offenders. In Nigeria, the author argues that only while lip-service is paid to the existence of after-care services, also, provision for community based corrections is apparently not in existence.

The issue of geriatric inmates in correctional facilities has emerged as a significant concern, as the aging prison population continues to rise. Many correctional institutions were originally designed for younger offenders, leaving elderly inmates in environments that do not cater to their specific needs. Research highlights the growing medical, psychiatric, and social challenges that this population faces, as well as the policy implications and potential solutions to address these issues. It is concerning that older inmate in Nigeria correctional centers face difficult reentry challenges compared to their younger counterparts. Many geriatric ex-offenders are released into communities without access to stable housing, making them highly vulnerable to homelessness. Research indicates that formerly incarcerated individuals are ten times more likely to experience homelessness compared to the general population, with older adults being at an even higher risk. Asokhia and Agbonluae, 2013; Chukwudi (2012) observed that in Nigeria, social welfare systems are limited; the absence of structured reintegration programs exacerbates the struggles of elderly ex-inmates.  Many of them lack financial resources, making it difficult to secure accommodation or afford basic needs upon release.

Concept of Community Re-entry

According to Okah et al. (2024) community re-entry is the process of facilitating a transition or movement of an offender who has completed their sentence, and rehabilitation programs in a correctional institution back to their family, environment, and community where they belong. Community reentry is the process by which ex-convicts transition back into society and gain acceptance from key stakeholders, including families, employers, and communities (Idowu&Odivwri, 2019). For Laub & Sampson (2003) community reintegration is the process of transitioning from incarceration to the community, adjusting to life outside of prison or jail, and attempting to maintain a crime-free lifestyle.  Community reentry is frequently described as reintegration because it involves preparing not only the ex-offender but also the family, community, and victims for the transition process (Stravinskas, 2009).  It is one of the most important indicators that determine the success of previously incarcerated individuals’ rehabilitation. It contributes to helping one’s adaptation to life adversities in the society.

Shajobi-Ibikunle (2014) and Aniekan (2016) observed that the common perception among communities is that little or nothing could be done to rehabilitate or change the behaviour of ex-offenders who they see as dangerous individuals. Thus, formerly incarcerated individuals face significant challenges during community re-entry. These barriers include stigma, difficulty in finding employment, limited access to housing, and lack of educational opportunities (Arevalo, 2020). Many re-entering individuals struggle to access quality re-entry programs, particularly those that address substance abuse and mental health needs. The financial burden associated with reintegration is also a major obstacle, disproportionately affecting marginalized groups, including people of colour and women. Social networks and family relationships further complicate re-entry, as individuals with a history of incarceration often experience strained relationships with loved ones, which can impact their emotional and financial stability (Weill, 2016). In Nigeria; prisoners are often released without adequate preparation for life outside the prison system. Upon release, they are left to find housing, employment, and basic necessities on their own, often with little to no support. Many ex-convicts experience isolation and alienation due to the absence of transitional case managers who could guide them through this critical period. As a result, they struggle to rebuild their lives and frequently resort to crime out of necessity (Petersilia, 2003; Stravinskas, 2009).

Studies highlight the need for comprehensive discharge planning that includes mental health services, substance abuse treatment, and access to healthcare (Luther et al., 2011). Without proper support, many individuals return to behaviors that led to their incarceration in the first place, increasing their risk of recidivism. According to Iremeka, F.U., Eseadi, C., Ezenwaji, C. et al (2021) rational emotive-behaviour therapy (REBT) has shown great promise in helping students manage mental distress. Such therapy can as well be adopted to address the need of geriatric inmates. Also, programs that integrate healthcare services with re-entry planning have been shown to improve long-term outcomes by addressing the root causes of criminal behavior and providing individuals with the tools they need to reintegrate successfully.

  • Theoretical framework        

Reintegration Theory

Reintegration theory focuses on the process of re-entering individuals primarily ex-offenders back into society by restoring their social, economic, and psychosocial ties. It emphasizes a transition from a marginalized status to civilian or law-abiding life, requiring community acceptance and the reduction of stigma to lower recidivism rates. Muntingh (2005) noted that the rationale for reintegrating offender is based on two moral premises. Firstly, it is better for people to be in harmony with one another in their community, and secondly, wherever harmony and community are absent, they should be actively pursued. The author further noted that punitive approach stigmatises and belittles offenders. This results in a further breach of community and disruption of harmony in society. To this end, reform and reintegration of offenders should always be the ultimate aim of incarceration. In application therefore, reintegration theory tries to point to societal role in crime perpetration and dissuade the blame game of the community. It perceives the society as an accomplice in crime commission and therefore must help in treating and rehabilitating the offenders, especially in ensuring that they reintegrate successfully (Onwuchekwe et al, 2023).  

Some of the conditions that breed criminals whom many societies create are discrimination against ex-convicts by community members and the assumption that upon released from correctional facilities, the ex-convicts may still go back to reoffending. Many geriatric inmates upon release from correctional centres suffer from community avoidance and stigmatization.  The sense of not being welcomed anymore as part and parcel of their community depresses them the more. Therefore, for reintegration theorists, communities should be open minded and show willingness to welcome geriatric inmates back without any form of reservation. They argue that it is only through this that the gains of rehabilitation received by at the correctional service centres would be sustained.

  • Conclusion and recommendation

Geriatric inmates encounter significant community reentry challenges upon release from correctional center due to family and community abandonment, rejection and stigmatization, etc. They are most often stereotyped, labeled, and discriminated against by their own family and community. The stigmas they suffer most times erode their self-esteem and weaken their social cohesion.  In most communities in Nigeria, ex-geriatric offenders are most often judged by their past crimes by community members. They are rejected and excluded from participating in key community activities. Most of them are pushed to the margins of society, unable to meet basic survival needs upon their release from the correctional centre.  Ahmed (2015) further supports this, noting that harsh prison conditions and societal rejection create a cycle where ex-inmates, especially the vulnerable ones. Indeed, most elderly ex-inmates lacked the necessary support to be able to integrate proper into their community.

Most geriatric inmates of Onitsha correctional centre often leave the centre without having accessed any meaningful training or rehabilitation that will them integrate into their community. Although this study found that some reintegration programs actually exist, their impact on geriatric inmates is moderate and uneven. Idowu and Odivwri (2019) shares this concern in their study which found that Nigerian correctional facilities often fall short in delivering true rehabilitation, leading to high recidivism rates. Indeed, the geriatric inmates are often overlooked when reintegration services are designed by correctional service centers in Nigeria. They do not actually benefit because most of the programs target younger or more able-bodied inmates. Many of geriatric inmates who need healthcare navigation, housing assistance, and psychological support usually don’t get them.  In the light of the above, this study concludes that without deliberate, age-specific interventions, geriatric inmates upon release from correctional centres are likely to face serious challenges which will make their proper re-entry into their community a herculean task for them.


Therefore, this paper recommends that:

1.      The Nigerian Correctional Service should establish transitional housing schemes and geriatric-specific healthcare access programs for elderly ex-inmates to address the pressing issues of homelessness and medical neglect post-release.

  • Correctional facilities like Onitsha should revamp their rehabilitation approach by incorporating age-sensitive vocational training, counseling, and reentry planning that begins early in incarceration and continues post-release, specifically designed for elderly inmates.
  • Communities should be sensitized to accept ex-geriatric offenders back without reservations of any kind.
  • Policymakers should consider adopting a National Geriatric Reintegration Strategy (NGRS) that will target interventions such as micro-grants for ex-geriatric inmates and community reentry programs that will pair ex- ex-geriatric inmates with trained community volunteers.

          

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