Abstract
The distance education has become an indispensable teaching method, especially after the situation of Covid-19. For this reason, educational institutions are looking for e-learning platforms that offer better course management, ease of administration, user friendly, and achieving the learning objectives. Adaptive learning is considered an active research area, it enables to detect learning style of learners based on their behaviors and learning purposes in order to recommend relevant course materials. The objective of this article is to present an overview of personalization in the traditional learning system and the new developed systems as well as the approaches used to understand the learner’s individual needs. Furthermore, this work analyzes the problems in these systems and presents the prospect of development.
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This work was supported by the Al-Khawarizmi Program funding by Morocco’s Ministry of Education, Ministry of Industry and the Digital Development Agency (ADD) under Project No. 451/2020 (Smart Learning).
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Mezin, H., Kharrou, S.Y., Lahcen, A.A. (2022). Adaptive Learning Algorithms and Platforms: A Concise Overview. In: Maleh, Y., Alazab, M., Gherabi, N., Tawalbeh, L., Abd El-Latif, A.A. (eds) Advances in Information, Communication and Cybersecurity. ICI2C 2021. Lecture Notes in Networks and Systems, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-91738-8_1
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