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.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.