E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE

Autor: OUTMANE BOURKOUKOU, ESSAID EL BACHARI
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Journal of Engineering Science and Technology, Vol 11, Iss 11, Pp 1565-1581 (2016)
Druh dokumentu: article
ISSN: 1823-4690
Popis: Personalized e-learning based on recommender system is recognized as one of the most interesting research field in the education and teaching in this last decade, since, the learning style is specific for each student. In fact from the knowledge of his or her learning style; it is easier to recommend a teaching strategy builds around a collection of the most adequate learning objects to give a better return on the educational level. This work focuses on the design of a personalized e-learning environment based on collaborative filtering and learning styles. Using the learner profile, the device proposed a personalized teaching strategy by selecting and sequencing learning objects fitting with the learners’ learning styles. Moreover, an experiment was conducted to evaluate the performance of our approach. The result reveals the system effectiveness for which it appears that the proposed approach may be promising.
Databáze: Directory of Open Access Journals