Abstract
Intelligent adaptive e-learning has become an inescapable necessity, a major issue in the last few years, especially with the pandemic that is hitting the world besides the digital and technical development that we are going through today. The shift to adaptive e-learning is crucial and provides an alternative way to traditional learning to tailor learning and uniquely respond to the needs and characteristics of each learner, offering them a personalised learning approach and a better learning experience. Therefore, the focus has shifted to a system based on artificial intelligence to help learners to manage the teaching and learning process, which leads to improving their efficiency, better developing their skills and abilities, saving effort and time, as well as improving their level of motivation. The main objective of this paper is to study and give a comprehensive overview of the latest adaptive e-learning systems and to highlight the role and importance of artificial intelligence in promoting the adaptation of this system while pointing out some future ideas and recommendations whose implications will be of benefit to both students and researchers.
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Benkhalfallah, F., Laouar, M.R. (2023). Artificial Intelligence-Based Adaptive E-learning Environments. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 783. Springer, Cham. https://doi.org/10.1007/978-3-031-44097-7_6
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