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DAS3H: Modeling Student Learning and ...
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Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Permalink :
http://hdl.handle.net/20.500.12210/58067
Title :
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
Author(s) :
Choffin, Benoît [Auteur]
Laboratoire Interdisciplinaire des Sciences du Numérique [LISN]
Popineau, Fabrice [Auteur]
Laboratoire Interdisciplinaire des Sciences du Numérique [LISN]
Bourda, Yolaine [Auteur]
Laboratoire Interdisciplinaire des Sciences du Numérique [LISN]
Vie, Jill-JÊnn [Auteur]
Modelling brain structure, function and variability based on high-field MRI data [PARIETAL]
Conference title :
JDSE 2019 - Paris-Saclay Junior Conference on Data Science and Engineering
City :
Gif-sur-Yvette
Country :
France
Start date of the conference :
2019-09-12
Publication date :
2019
English keyword(s) :
student modeling
adaptive spacing
memory
optimal scheduling
HAL domain(s) :
Statistiques [stat]/Autres [stat.ML]
Statistiques [stat]/Machine Learning [stat.ML]
Statistiques [stat]/Applications [stat.AP]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Environnements Informatiques pour l'Apprentissage Humain
English abstract : [en]
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 ...
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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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Related reference(s) :
https://github.com/BenoitChoffin/das3h
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Submission date :
2021-12-02T02:01:07Z
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  • https://hal.archives-ouvertes.fr/hal-03427048/document
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