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