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Trace-Based Learner Modelling Framework for Technology-Enhanced Learning Systems

Lemya Settouti 1, 2 Nathalie Guin 1 Vanda Luengo 3 Alain Mille 1 
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 MeTAH - Modèles et Technologies pour l’Apprentissage Humain
LIG - Laboratoire d'Informatique de Grenoble
Résumé : we present in this paper a general framework for describing a trace-based learner modelling process. This framework includes three knowledge models: the first one is an explicit representation of observations about learner’s interactions with a TEL-system, the second model describes the structure and elements describing the Learner Model and the last model describes the main knowledge elements types that could be required to calculate and infer learner profile elements (leaner individual features).
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https://hal.inria.fr/hal-00948754
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Submitted on : Tuesday, February 18, 2014 - 4:22:29 PM
Last modification on : Wednesday, July 6, 2022 - 4:12:28 AM

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Lemya Settouti, Nathalie Guin, Vanda Luengo, Alain Mille. Trace-Based Learner Modelling Framework for Technology-Enhanced Learning Systems. IEEE International Conference on Advanced Learning Technologies, 2010, Sousse, Tunisia. ⟨10.1109/ICALT.2010.28⟩. ⟨hal-00948754⟩

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