Comprehensive exercise recommendation with practicality, generalizability, and versatility in AI-driven education

Guowei Liu, Meirui Ren, Longjiang Guo, Jin Li, Miao Ma

Abstract: Highlights•Presents a practical, generalizable, and versatile exercise recommendation.•States a new problem of minimizing exercise recommendation cost with versatility.•Proposes the ER-TGA framework for minimizing exercise recommendation cost.•Conducts extensive experiments to show generalizability and versatility.•Performs an empirical study in a high school to validate the practicability.