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Communication Dans Un Congrès Année : 2012

RECOMMENDER SYSTEM FOR COMBINATION OF LEARNING ELEMENTS IN MOBILE ENVIRONMENT

Fayrouz Soualah-Alila
Christophe Cruz
Christophe Nicolle

Résumé

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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Dates et versions

hal-00742907 , version 1 (18-10-2012)
hal-00742907 , version 2 (23-10-2013)

Identifiants

  • HAL Id : hal-00742907 , version 2

Citer

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