Yi-Ming Guan

Interpretable machine learning for academic performance prediction: A SHAP-based analysis of key influencing factors

This study employs machine learning approaches to predict the final exam scores of vocational undergraduate students and analyse critical factors influencing their academic performance, indicating monthly exam scores, admission scores and self-study time as the most influential predictors, whereas demographic features...