The EduRiskX framework integrates a temporal Transformer with F-Logic symbolic reasoning to predict student academic risk. This neuro-symbolic approach targets the "black-box" nature of existing predictors by adding an interpretable rule base. It uses class-weighted loss and dynamic truncation to improve early detection.