Fairness-Aware Machine Learning for Ethical Student Performance Prediction in Education
This study developed ethically aligned and interpretable ML models for predicting student academic performance using only behavioural engagement and academic context variables that demonstrate that fairness-by-design prediction systems that exclude demographic variables can support equitable and actionable early-warnin...