Huu Dat Tao

Predicting Student Dropout Risk with Supervised Learning and Large Language Models: A Survey, a Hybrid Framework, and an Early-Warning Web Prototype

The dropping out of students is a waste of the resources of learners and institutions. In Vietnam, early warning indications are documented in university grade vaults. Most early-warning research relies on supervised learning over structured records and so does not consider the behavioural and emotional signs present i...