Ontology based user modeling for personalization of grid learning services

Abstract : The paper shows how semantic grid learning services will support a user-centered, personalized, contextualized and experiential based approach for ubiquitous learning. In order to allow personalized learning processes, we need to study and define methodologies for representing, through adequate knowledge structures, such as ontologies, both the area (the learning context) and the learner. In this paper we will focus on the role of personalized ontologies for a new generation of intelligent services, and more specifically, about their role for Grid Learning services in ELeGI.
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Communication dans un congrès
1st International ELeGI Conference on Advanced Technology for Enhanced Learning, 2005, Vico Equense (Naples), Italy. pp.8, 2005
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https://telearn.archives-ouvertes.fr/hal-00190490
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Dernière modification le : mardi 10 juillet 2018 - 15:46:44
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  • HAL Id : hal-00190490, version 1

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Guy Gouardères, Emilie Conté, Saber Mansour, Liana Razmerita. Ontology based user modeling for personalization of grid learning services. 1st International ELeGI Conference on Advanced Technology for Enhanced Learning, 2005, Vico Equense (Naples), Italy. pp.8, 2005. 〈hal-00190490〉

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