Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD
Early-warning systems (EWS) in learning analytics are increasingly used to identify learners at risk of course withdrawal, but their deployment-critical properties are often under-reported once predicted scores are converted into intervention policies. This study develops a deployment-oriented evaluation protocol for c...