CAMLearn* : une architecture de système de recommandation sémantique sensible au contexte : application au domaine du m-learning

Abstract : Given the rapid emergence of new mobile technologies and the growth of needs of a moving society in training, works are increasing to identify new relevant educational platforms to improve distant learning. The next step in distance learning is porting e-learning to mobile systems. This is called m-learning. So far, learning environment was either defined by an educational setting, or imposed by the educational content. In our approach, in m-learning, we change the paradigm where the system recommends content and adapts learning follow to learner's context.
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Fayrouz Soualah Alila. CAMLearn* : une architecture de système de recommandation sémantique sensible au contexte : application au domaine du m-learning. Informatique. Université de Bourgogne, 2015. Français. ⟨NNT : 2015DIJOS032⟩. ⟨tel-01253163⟩

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