F. Kamalov

Toward Sustainable and Equitable AI in Education Through a Regional Fairness Audit of Dropout Prediction Using the OULAD Dataset

Ensuring that artificial intelligence contributes to sustainable, equitable education requires more than aggregate accuracy—it requires verifying that predictive systems serve all learners fairly, including across geographic regions. We audit a dropout-prediction pipeline built on the Open University Learning Analytics...