AI-Powered Early Warning Systems: Examining Feature Dominance in Student Success Prediction

This ArXiv article explores the use of AI in predicting student success, focusing on the influence of static features within temporal prediction models. The research likely contributes to a better understanding of which student characteristics are most predictive of future academic outcomes.