A Combined E-Learning Course Recommender System

Authors

  • Jallal Talaghzi National Institute of Posts and Telecommunications, Rabat, Morocco https://orcid.org/0000-0001-8275-9579
  • Mostafa Bellafkih National Institute of Posts and Telecommunications, Rabat, Morocco
  • Abdellah Bennane Inspectors Training Center for Education & Mohammed V University, Rabat, Morocco
  • Mohammed Majid Himmi
  • Mohammed Amraouy National Institute of Posts and Telecommunications, Rabat, Morocco https://orcid.org/0000-0002-7656-1432

DOI:

https://doi.org/10.3991/ijet.v18i06.36987

Keywords:

Recommender systems, content-based course recommendation, course-based collaborative filtering, static profile-based collaborative filtering, multi-criteria decision aid

Abstract


In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based recommendation as well as course-based collaborative filtering for active learners, and static profile-based collaborative filtering for new learners. Let us also note the use of multi-criteria decision aid (MDA) techniques for the choice of the textual similarity measure to be used in the first approach of content-based recommendation.

Cover iJET Vol. 18 No. 06 (2023)

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Published

2023-03-21

How to Cite

Talaghzi, J., Bellafkih, M. ., Bennane, A., Himmi, M. M., & Amraouy, M. (2023). A Combined E-Learning Course Recommender System. International Journal of Emerging Technologies in Learning (iJET), 18(06), pp. 53–70. https://doi.org/10.3991/ijet.v18i06.36987

Issue

Vol. 18 No. 06 (2023)

Section

Papers

License

Copyright (c) 2023 Talaghzi J., Bellafkih M., Bennane A., Himmi MM., Amraouy M.

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