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Title:
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RECOMMENDER SYSTEM FOR COMBINATION OF LEARNING ELEMENTS IN MOBILE ENVIRONMENT |
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Author(s):
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Fayrouz Soualah-Alila, Florence Mendes, Christophe Cruz, Christophe Nicolle |
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ISBN:
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978-972-8939-66-3 |
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Editors:
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Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Recommender system, m-learning, ontology, metaheuristics, spatiotemporal context, learners profile |
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Type:
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Short Paper |
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First Page:
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291 |
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Last Page:
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295 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This 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. Its made of three levels architecture: 1/ a domain model describing the knowledge of teaching, 2/ a user model defining learners profile and learnings 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 learners 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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