Lingjun Xiao

Adaptive Quantum‐Inspired Optimisation of Neural Networks for Imbalanced Student Performance Prediction

Student performance prediction (SPP) is a critical task in educational data mining (EDM) for facilitating proactive educational interventions. However, existing predictive models face specific challenges: the high pedagogical cost of misclassifying at‐risk students (class imbalance), the difficulty of feature selection...