The EduRiskX framework integrates a temporal Transformer with F-Logic symbolic reasoning to predict academic risk in online learners. This neuro-symbolic approach targets the "black-box" problem by adding interpretable rules to neural activity sequences. It uses class-weighted loss and dynamic truncation to improve early detection. Practitioners gain a more transparent tool for pedagogical interventions.