Deep Reinforcement Learning for Adaptive Learning Systems

no code implementations • 17 Apr 2020 • Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang

In this paper, we formulate the adaptive learning problem---the problem of how to find an individualized learning plan (called policy) that chooses the most appropriate learning materials based on learner's latent traits---faced in adaptive learning systems as a Markov decision process (MDP).

Q-Learning reinforcement-learning +1

Optimal Hierarchical Learning Path Design with Reinforcement Learning

no code implementations • 12 Oct 2018 • Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang

To this end, we first develop a model for students' hierarchical skills in the E-learning system.

cognitive diagnosis reinforcement-learning +1