Towards Adaptive Learning Systems Based on Fuzzy-Logic

Ennouamani, Soukaina; Mahani, Zouhir

doi:10.1007/978-3-030-22871-2_42

Cited by 5 publications

(1 citation statement)

References 43 publications

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“…It is in this sense that [24] proposed the integration of fuzzy logic in adaptive learning, in order to guarantee a more precise approach allowing to have an aptitude to detect the characteristics of learners and adapt the contents while dealing with the problem of uncertainty and imprecision.…”

Section: New Technologies and Adaptive Learningmentioning

confidence: 99%

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

Mouna

Lakrami

Labouidya

2023

Int. J. Emerg. Technol. Learn.

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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.

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Section: New Technologies and Adaptive Learningmentioning

confidence: 99%