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Personalized E-learning Recommender System to Adjust Learners’ Level
PROCEEDING

, Lab-STICC Bretagne-sud University, France, LIMIE ISGA Rabat, Morocco, Morocco ; , SSDIA ENSET Hassan II University, Morocco, Morocco ; , LAB-STICC Bretagne-sud University, France, France

EdMedia + Innovate Learning, in Amsterdam, Netherlands ISBN 978-1-939797-42-1 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

Personalized e-learning has often been linked to recommender systems, because to be able to personalize a teaching process it is essential to consider the specificities of each learner. The use of recommender systems has thus developed in education, and a lot of research work is beginning to take an interest in it, taking advantage of the automatisms offered by the online learning environment. Our work fits into this context, and tries to use a hybrid recommendation system to be able to offer a teaching that is adapted to the needs and specificities of the learners.

Citation

Baidada, M., Mansouri, K. & Poirier, F. (2019). Personalized E-learning Recommender System to Adjust Learners’ Level. In J. Theo Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 1353-1357). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved July 22, 2019 from .

Slides