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DOI: 10.14569/IJACSA.2021.0120127
PDF

Learning Management System based on Machine Learning: The Case Study of Ha'il University - KSA

Author 1: Mohamed Hédi Maâloul
Author 2: Younès Bahou

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 1, 2021.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Online learning environments have become an established presence in higher education in the Kingdom of Saudi Arabia, especially with the expected of Covid-19 pandemic. At present, supporting e-learning with interactive virtual campuses is a future aim in education. In order to solve the problems of the interactivity and the adaptability of e-online learning systems in Saudi universities, this paper proposes a module, based on digital learning, and to be used in learning management systems to meet the challenges a future goal in e-online learning. The e-learning system should be intelligent and has the possibility to inspire the specific characteristics (i.e., metadata) of a student used to access to their social media profiles.

Keywords: Learning management systems; blackboard; machine learning; semi-supervised learning; personalization system; SPS System; user profile; social profile

Mohamed Hédi Maâloul and Younès Bahou, “Learning Management System based on Machine Learning: The Case Study of Ha'il University - KSA” International Journal of Advanced Computer Science and Applications(IJACSA), 12(1), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120127

@article{Maâloul2021,
title = {Learning Management System based on Machine Learning: The Case Study of Ha'il University - KSA},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120127},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120127},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {1},
author = {Mohamed Hédi Maâloul and Younès Bahou}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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