TY  - JOUR
T1  - A Personalized e-Learning Portal D2L Recommender System
AU - Qassim Qwaider, Walid 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 8
SP  - 2084
EP  - 2087
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.2084.2087
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.2084.2087
KW  - D2L
KW  -e-Learning
KW  -recommender systems
KW  -personalized e-Larning
KW  -PEPRS
AB  - 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.
ER  -