DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
Résumé
Spaced repetition consists in temporally distributing exposure to an information so as to improve long-term memorization for a human learner. However, most adaptive spacing algorithms rely on expert-defined heuristics and are limited to pure memorization, e.g. foreign language learning. In this article, we propose a new student model for human skill learning and forgetting, called DAS3H. We provide empirical evidence on three real-world educational datasets that DAS3H, which incorporates both exercise-skill relationships and forgetting effect, outperforms other state-of-the-art student models that consider one or the other.
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