The Design of An Adaptive E-learning Model Based on Artificial Intelligence for Enhancing Online Teaching

Authors

  • Mouna Kaouni Department of Physics, Faculty of Science, Chouaib Doukkali University, El Jadida, Morocco
  • Fatima Lakrami Chouaib Doukkali University, STIC Laboratory Department of Physics Faculty of science Chouaib Doukkali university EL Jadida, Morroco https://orcid.org/0000-0002-1545-9514
  • Ouidad Labouidya Chouaib Doukkali University, STIC Laboratory Department of Physics Faculty of science Chouaib Doukkali university EL Jadida, Morroco https://orcid.org/0000-0002-7508-6246

DOI:

https://doi.org/10.3991/ijet.v18i06.35839

Keywords:

Adaptive learning, Adaptive learning Architecture, UML, learning style, Artificial intelligence

Abstract


Nowadays, teaching involves more and more the usage of digital tools to accompany face-to-face learning. Such a system is being referred to as hybrid teaching. These digital tools include mainly  distance learning platforms based on LMS (Learning management systems). LMS help to create on-line digital spaces to store and organize teaching material while providing a pedagogical learning process to connect educational communities. Despite the many forms of content that can be implemented on these platforms, from traditional file-based to interactive and animated content, these systems remain both passive and generic. They lack the ability to adapt to the learner in terms of learning skills, preferences, languages, intellectual abilities, learning patterns and rhythms. This paper proposes a design and modeling of an intelligent and dynamic adaptive learning system based on artificial intelligence with the main objective of identifying and providing personalized learning environments adapted to the learner needs.

 

Author Biographies

Fatima Lakrami, Chouaib Doukkali University, STIC Laboratory Department of Physics Faculty of science Chouaib Doukkali university EL Jadida, Morroco

Is a researcher and a professor at Science Faculty, Chouaıb
Doukkali University, El Jadida, Morocco. She got her Doctorate in Telecommunication and
Networking in 2014 from Chouaˆıb Doukkali University, El Jadida, Morocco. Her research
interests cover wireless networks performance evaluation, VANETs and Security.

Ouidad Labouidya, Chouaib Doukkali University, STIC Laboratory Department of Physics Faculty of science Chouaib Doukkali university EL Jadida, Morroco

Is currently Professor Researcher at Faculty of Science,
University Chouaib Doukkali, El Jadida, Morocco. She obtained her Diploma of an Engineer
degree in Electronic Instrumentation and Maintenance in 1992. She received his PHD degree in
Science and Technology of Information and Communication from Faculty of Science of
University Chouaib Doukkali, Morocco, in 2009. With over 17 years of expertise in ICT, she
has conducted several researches and overseas missions in E-learning and Telecommunication
Networks. Her research interests include self-training and ICT for education, evaluation in
higher education, Computer and Telecommunication Networks.

Cover iJET Vol. 18 No. 06 (2023)

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Published

2023-03-21

How to Cite

Kaouni, M., Lakrami, F., & Labouidya, O. (2023). The Design of An Adaptive E-learning Model Based on Artificial Intelligence for Enhancing Online Teaching. International Journal of Emerging Technologies in Learning (iJET), 18(06), pp. 202–219. https://doi.org/10.3991/ijet.v18i06.35839

Issue

Vol. 18 No. 06 (2023)

Section

Papers

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Copyright (c) 2023 mouna kaouni, Dr.Fatima Lkrami, Dr.Ouidad Labouidya

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