Predicting academic performance through machine learning
Integrating demographic, psychological, and behavioral predictors using explainable AI
Bibliographic Data
| ID | 21755641 |
|---|---|
| Authors | Wen Jun Lau (Universiti Brunei Darussalam), Hanif Abdul Rahman (0000-0003-3022-8690, Universiti Brunei Darussalam, corresponding author) |
| Year | 2026 |
| Publication date | 2026-05-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Asia Pacific Education Review (JOURNAL) |
| Journal identifiers | ISSN: 1598-1037 • E-ISSN: 1876-407X |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12564-026-10124-y |
| OpenAlex | W7161238797 |
| Language | EN |
| References cited | 61 |
Academic achievement · Cognition · Electronic learning · Higher education · Task Analysis · Explainable Artificial Intelligence (XAI · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics
Effects of physical activity interventions on cognitive and academic performance in children and adolescents
How motivation affects academic performance
General Self-Efficacy Scale
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Feature Selection with the Boruta Package
Horne & Östberg morningness-eveningness questionnaire
The Warwick-Edinburgh Mental Well-being Scale (WEMWBS)
Random Forests
Machine learning models for academic performance prediction
Is the Health and Wellbeing of University Students Associated with their Academic Performance? Cross Sectional Findings from the United Kingdom
Psychological correlates of university students' academic performance
Factors affecting student burnout and academic achievement in multiple enrollment programs in Taiwan’s technical–vocational colleges
Measuring personality in one minute or less
Grit
Gender differences in scholastic achievement
A meta-analysis of the five-factor model of personality and academic performance
Burnout and Engagement in University Students
| Highly cited | No |
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