Minseong Lim

Student-Disjoint Cross-Module Benchmarking for Calibrated Early Warning in Online Learning

Early-warning models in online learning are commonly evaluated with random data partitions, even though deployment often requires transfer to a course that supplied no training data. This study establishes a leakage-resistant benchmark for cross-module risk prediction using the Open University Learning Analytics Datase...