A Proposed Hybrid Deep Learning and Ensemble Learning Model for Predicting Student Dropout in Education
Student dropout remains a major challenge for higher education institutions due to its academic, social, and economic consequences. Early identification of students at risk of dropping out is essential for implementing timely interventions; however, existing prediction approaches often rely on standalone machine learni...