R. Turebayeva

Comparative Evaluation of Machine Learning Models for Early Prediction of Student Academic Performance Using the Open University Learning Analytics Dataset

Early identification of students at risk of academic failure is a central problem in learning analytics, yet the multi-table, behaviorally heterogeneous, and class-imbalanced nature of educational data complicates reliable prediction. This study develops and comparatively evaluates four supervised machine learning mode...