The EduRiskX framework integrates a temporal Transformer with F-Logic symbolic reasoning to predict student academic failure. It uses class-weighted loss and dynamic weekly truncation to identify at-risk learners earlier than standard black-box models. This neuro-symbolic approach provides the interpretability required for pedagogical interventions.