Psychosocial determinants of academic achievement in Ethiopian higher education students, 2024. Systematic review and meta-analysis
Bibliographic record
Abstract
Introduction Ethiopian students' academic achievement goes beyond just cognitive ability. It is interwoven with psychological and social factors. This analysis examines how these interconnected dimensions, including behaviour, emotions, and mental well-being, influence academic attainment. By revealing the multifaceted factors that shape student well-being and success, this review highlights their critical role in the higher education landscape. Methods This systematic review and meta-analysis study aimed to contribute to the academic literature by exploring the psychosocial factors affecting the academic achievement of Ethiopian higher education students. It leveraged a diverse array of scholarly databases, and adherence to recommended reporting guidelines ensured methodological rigor and transparency throughout the investigation. Result This systematic review synthesizes findings from 14 high-quality Ethiopian cross-sectional studies assessed using the Newcastle-Ottawa Scale. The overall pooled mean grade point average of respondents was 3.04, [(95 % CI: 2.75, 3.32), I 2 = 0.00 %, P < 0.001)]. The pooled odds ratio psychosocial predictors of academic achievement was 0.47, [(95 % CI: 0.46, 0.48), I 2 = 0.00 %, P = 0.001)]. The study explored factors affecting academic achievement, including psychological (sleep, stress, self-esteem) and sociological factors (social media, financial hardship, social support). The review found that these factors emerged as significant influences, highlighting the multifaceted nature of academic success. Conclusion This synthesized study champions a holistic approach to education, urging the integration of academic progress and student well-being. It emphasizes interventions in mental health, social support, and resource access, and acknowledge their multifaceted impact on learning. In addition, it would be better to build inclusive environments with the involvement of educators and policymakers to optimize the academic success of higher education students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".