A Meta-Model to Acquire Relevant Knowledge for Interactive Learning Environments Personalization - Archive ouverte HAL
Communication Dans Un Congrès Année : 2009

A Meta-Model to Acquire Relevant Knowledge for Interactive Learning Environments Personalization

Résumé

Outsourced personalization of Interactive Learning Environments (ILE) requires knowledge on these ILEs: their teaching description (type of activities, parameters for exercises generation...) and their technical description (files location, content of configuration files...). To make possible to support this personalization, we propose a meta-model to acquire, in interaction with an expert, relevant knowledge necessary to personalize an ILE. We combine this meta-model with two processes: the first one uses the meta-model in order to create a specific model to an ILE, and the second uses this model to personalize the ILE.
Fichier principal
Vignette du fichier
ADAPTIVE2009_ML_version_definitive.pdf (258.41 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01437782 , version 1 (11-06-2021)

Identifiants

  • HAL Id : hal-01437782 , version 1

Citer

Marie Lefevre, Alain Mille, Stéphanie Jean-Daubias, Nathalie Guin. A Meta-Model to Acquire Relevant Knowledge for Interactive Learning Environments Personalization. ADAPTIVE 2009, Nov 2009, Athènes, Greece. pp.78-85. ⟨hal-01437782⟩
353 Consultations
72 Téléchargements

Partager

More