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WITS 2020 pp 89-99 | Cite as

E-learning Recommendation System Based on Cloud Computing

Conference paper
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Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 745)

Abstract

E-learning in higher education has been known as great technology to improve efficiency, augment focus and thereby, give better academic outcomes, and given its several advantages and benefits, e-learning is considered among the best strategies for instruction. Furthermore, the e-learning system can help students save time and showing further information improving student learning. However, the traditional system for conducting research work and choosing courses is a time-consuming and uninteresting activity, which not only seriously affects students’ academic performance, but also affects students' learning experience, and due to information overload, it becomes more difficult to choose relevant learning resources. To resolve this problem, this paper presents a model of a recommender system for the e-learning platform that will recommend and motivate the student in selecting the courses according to their requirements; this system based on cloud computing infrastructure and particularly with the use of Google cloud services.

Keywords

E-learning Recommender system Cloud computing 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2022

Authors and Affiliations

  1. 1.Engineering, Systems and Applications LaboratoryENSA, Sidi Mohamed Ben Abdellah UniversityFezMorocco
  2. 2.High School of Technology, Sidi Mohamed Ben Abdellah UniversityFezMorocco

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