Cosmos Kiguli

Predicting O-Level Student Dropout Risk in Southwestern Uganda: A Context-Aware Machine-Learning Early-Warning Model

Student dropout remains a major obstacle to equitable secondary education, yet many schools in low-resource settings identify risk only after prolonged absenteeism or disengagement. This article develops and evaluates a context-aware predictive analytics model for early identification of dropout risk among O'Level lear...