Abstract
With the emergence of new technologies, a new way of learning called “e-learning” has appeared, based on interactive training. This helps learners to develop their skills, while making the learning process independent of time and place. Artificial intelligence (AI) techniques in education were tested to increase learning experience. AI researchers look for domain applications, beginning to apply their ideas by tracking students on a course. Intelligent systems apply artificial intelligence techniques to meet the needs of their users; these methods allow the performance of an e-learning system to be increased by analyzing and adapting the profile of learning behavior and learning styles. Therefore, the objective of this chapter is to present the requirements for integrating AI into e-learning systems. The results showed significant advantages when including AI techniques, specifically intelligent tutoring system, in the learning process.
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Hibbi, FZ., Abdoun, O., Haimoudi, E.K. (2020). Integrating an Intelligent Tutoring System into an Adaptive E-Learning Process. In: Dos Santos, S., Maslouhi, M., Okoudjou, K. (eds) Recent Advances in Mathematics and Technology. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-35202-8_8
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DOI: https://doi.org/10.1007/978-3-030-35202-8_8
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