The EduRiskX framework integrates a temporal Transformer with F-Logic symbolic reasoning to predict student academic risk. This neuro-symbolic approach replaces black-box predictions with interpretable rules grounded in pedagogical expertise. It uses class-weighted loss and dynamic weekly truncation to improve early detection.