Developmental Learning for Intelligent Tutoring Systems

Benjamin Clement 1 Didier Roy 1 Pierre-Yves Oudeyer 1 Manuel Lopes 1
1 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
Abstract : We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by each student, taking into account limited time and motivational resources. At a given point in time, the system tries to propose to the student the activity which makes him progress best. We introduce two algorithms that rely on the empirical estimation of the learning progress, one that uses information about the difficulty of each exercise RiARiT and another that does not use any knowledge about the problem ZPDES.
Type de document :
Communication dans un congrès
IEEE ICDL-Epirob - The Fourth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2014, Genoa, Italy. 2014
Liste complète des métadonnées

Littérature citée [31 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01061195
Contributeur : Benjamin Clement <>
Soumis le : lundi 8 septembre 2014 - 16:19:06
Dernière modification le : jeudi 12 avril 2018 - 13:07:42
Document(s) archivé(s) le : mardi 9 décembre 2014 - 12:35:01

Fichier

14icdl_kidlearn_final.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01061195, version 2

Collections

Citation

Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer, Manuel Lopes. Developmental Learning for Intelligent Tutoring Systems. IEEE ICDL-Epirob - The Fourth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2014, Genoa, Italy. 2014. 〈hal-01061195v2〉

Partager

Métriques

Consultations de la notice

574

Téléchargements de fichiers

195