6533b827fe1ef96bd12861c8

RESEARCH PRODUCT

CAMLearn : a semantic context-aware recommender system architecture : application on m-learning domain

Fayrouz Soualah Alila

subject

RecommandationContexte[SCCO.COMP] Cognitive science/Computer scienceContextCombinatorial algorithmsM-learningWeb sémantiqueRecommendationAlgorithmes combinatoiresSemantic Web

description

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.

https://theses.hal.science/tel-01253163