Ismail Menyani

FER-XGBoost: A Hybrid Approach for Fast and Accurate Learner Performance Prediction

In adaptive learning environments, accurate prediction of learner performance is essential for delivering personalized educational support. Logistic regression-based models such as PFA, AFM, and DAS3H have demonstrated strong predictive capabilities; however, they face two complementary limitations: high computational...