Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The e-Learning environments depend mainly on a series of by interactive contact details services. Recommender system in the course of e-Learning programs that is trying to recommend actions to the learner on behavior of the former educated workers. In this study proposed a framework a rule-based e-Learning Portal D2L Recommender System (PEPRS) and EPERS can assist and support learners in the search for educational materials and courses that suit their requirements. In suggested framework was developed D2L rules-based research on appropriate educational materials that meet the needs of all students.
How to cite this article:
Walid Qassim Qwaider. A Personalized e-Learning Portal D2L Recommender System.
DOI: https://doi.org/10.36478/jeasci.2017.2084.2087
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.2084.2087