A Suggested Algorithm of Recommender System to Recommend crawled-Web Open Educational Resources to Course Management System
Jamil A. Itmazi, Haytham Hijazi · 2015
The majority of educational institutes and training centers are using some kinds of e-Learning via online platform i.e.Course Management System (CMS), Learning Contents Management System (LCMS).These platforms are somehow fixed to the econtents of the tutor and teacher, while there are huge Open Educational Resources (OERs) available in the Web and ready for using and sharing.This paper proposes a Recommender System (RS) to recommend automatically OERs to a CMS after crawling them from Web to solve the students "Information Overload" problem arising from searching Web resources.This paper provides background of CMS -LCMS and RS as well as some examples.In addition, it discusses the suitability of main RS approaches to recommend digital resources from Web to support students' needs.Finally, it presents a new proposal of RS algorithm which could automatically recommend suitable digital learning resources to a student in his active course.