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Advance in Online Education Recommender Systems During and After Covid-19 a Survey

Author

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  • Radia Oussouaddi

    (Student at the Higher National School of Computer Science and Systems Analysis, Mohammed V University in Rabat, Morocco)

Abstract

The Covid-19 pandemic has significantly accelerated the adoption of online education, necessitating the development and enhancement of recommender systems tailored to this context. This survey paper investigates the key advancements, impacts, challenges, adaptations, and ethical considerations associated with online education recommender systems during and after the Covid-19 pandemic. We explore the key fac- tors considered in designing and implementing these systems, including user preferences, course content, pedagogical approaches, and scalability.

Suggested Citation

  • Radia Oussouaddi, 2023. "Advance in Online Education Recommender Systems During and After Covid-19 a Survey," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 51(2), pages 42575-42587, June.
    • Handle: RePEc:abf:journl:v:51:y:2023:i:2:p:42575-42587
    DOI: 10.26717/BJSTR.2023.51.008083
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