Interpretable machine learning approaches for student dropout prediction in higher education
Student dropout remains one of the most significant challenges in higher education, affecting academic performance, financial sustainability, and strategic planning within universities. This study presents an approach to predicting student dropout risk using machine learning methods and educational analytics. The resea...