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 logic. It uses dynamic weekly truncation to improve early detection. Practitioners can now deploy risk models that provide transparent justifications for specific student interventions.