6533b862fe1ef96bd12c602e

RESEARCH PRODUCT

SEMANTIC AND CONTEXTUAL APPROACH FOR THE RECOMMENDATION OF LEARNING MODULES IN MOBILITY

Fayrouz Soualah-alilaChristophe NicolleFlorence Mendes

subject

spatiotemporal contextmetaheuristics[ INFO.INFO-IU ] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-MC]Computer Science [cs]/Mobile Computing[INFO.INFO-MC] Computer Science [cs]/Mobile Computing[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]learner's profile[ INFO.INFO-MC ] Computer Science [cs]/Mobile Computinglearner's profile.ontologym-learningRecommender system

description

International audience; Many researchers argue that mobile learning is just an adaptation of e-learning on mobile technology, but far from a simple extension of e-learning, m-learning raises original issues in technological and pedagogical terms. M-learning is usually based on the consideration of a context rich on information and interactions. The challenge of m-learning is therefore, not simply to transfer on mobile content designed primarily for e-learning. This concept implies that we must rethink the entire process of the learning experience in mobility to maximize its efficiency.

https://hal.archives-ouvertes.fr/hal-00743126/document