Krunal Rathod

Explainable Temporal Machine Learning for Academic Risk Prediction and Student Intervention

Predicting which students are likely to struggle is a well-studied problem in higher-education analytics, but what an institution should do with such predictions is less settled. This paper proposes a framework that treats academic risk as something that shifts over a semester rather than a label assigned once, and tha...