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WITS 2020 pp 89–99Cite as

E-learning Recommendation System Based on Cloud Computing

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Part of the book series: Lecture Notes in Electrical Engineering ((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.

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Author information

Authors and Affiliations

  1. Engineering, Systems and Applications Laboratory, ENSA, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Mounia Rahhali, Lahcen Oughdir, Youssef Lahmadi & Mohammed Zakariae El Khattabi

  2. High School of Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Youssef Jedidi

Authors
  1. Mounia Rahhali
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  2. Lahcen Oughdir
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  3. Youssef Jedidi
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  4. Youssef Lahmadi
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  5. Mohammed Zakariae El Khattabi
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Corresponding author

Correspondence to Mounia Rahhali .

Editor information

Editors and Affiliations

  1. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Saad Bennani

  2. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Younes Lakhrissi

  3. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Ghizlane Khaissidi

  4. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Anass Mansouri

  5. Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Youness Khamlichi

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Cite this paper

Rahhali, M., Oughdir, L., Jedidi, Y., Lahmadi, Y., El Khattabi, M.Z. (2022). E-learning Recommendation System Based on Cloud Computing. In: Bennani, S., Lakhrissi, Y., Khaissidi, G., Mansouri, A., Khamlichi, Y. (eds) WITS 2020. Lecture Notes in Electrical Engineering, vol 745. Springer, Singapore. https://doi.org/10.1007/978-981-33-6893-4_9

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  • DOI: https://doi.org/10.1007/978-981-33-6893-4_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6892-7

  • Online ISBN: 978-981-33-6893-4

  • eBook Packages: EngineeringEngineering (R0)

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