Shu-Yin Duan

Artificial intelligence-driven early warning for online learner dropout: temporal explainability and theory-grounded intervention

Online learning faces persistently high dropout rates, yet most prediction models are static, single-time-point classifiers with little interpretability and untested cross-course transfer. Drawing on 32,593 registrations from the Open University Learning Analytics Dataset (OULAD), we build a temporally dynamic, interpr...