RECOMMENDER SYSTEM FOR COMBINATION OF LEARNING ELEMENTS IN MOBILE ENVIRONMENT

Abstract : The paper presents an ongoing research about the development of a new recommender system dedicated to m-learning. This system is an extension of content based recommender system proposals. It's made of three levels architecture: 1/ a domain model describing the knowledge of teaching, 2/ a user model defining learner's profile and learning's context, 3/ an adaptation model containing rules and metaheuristics, which aims at combining learning modules. Our system takes into account the spatio-temporal context of the learners, the evolution of learner's profile and the dynamic adaptation of modules during the learning process in a mobile environment. The result of the recommendation is one of the best combinations of pieces of training according to mobility constraints of learners and of the know-how of teachers.
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Communication dans un congrès
IADIS Mobile Learning. IADIS International Conference Mobile Learning, Mar 2012, Berlin, Germany. pp.309-314, 2012
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https://hal.archives-ouvertes.fr/hal-00742907
Contributeur : Fayrouz Soualah-Alila <>
Soumis le : mercredi 23 octobre 2013 - 14:17:05
Dernière modification le : lundi 13 octobre 2014 - 15:43:25
Document(s) archivé(s) le : vendredi 24 janvier 2014 - 04:25:40

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Fayrouz Soualah-Alila, Florence Mendes, Christophe Cruz, Christophe Nicolle. RECOMMENDER SYSTEM FOR COMBINATION OF LEARNING ELEMENTS IN MOBILE ENVIRONMENT. IADIS Mobile Learning. IADIS International Conference Mobile Learning, Mar 2012, Berlin, Germany. pp.309-314, 2012. <hal-00742907v2>

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