T. Vu

Predicting Student Exam Performance Using Explainable Regression Models: A Learning Analytics Study

Identifying which behavioral and demographic factors most strongly predict student academic performance is a long-standing goal of learning analytics. We apply linear regression, ridge regression, random forest, and gradient boosting to a 1,000-student behavioral and demographic dataset. Five-fold cross-validated R² sh...