Machine Learning Based Evaluation and Prediction of Student Performance in Virtual Learning Environment
This work contributes a balanced, explainable framework for educational early warning systems thereby, bridging methodological gaps in comparative feature selection techniques and offering practical insights for scalable deployment in online learning contexts.