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An Adaptive eLearning Sequence Based on Neutrosophic Logic
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Author(s): Nouran M. Radwan (Sadat Academy for Management Sciences, Egypt)and Wael K. Hanna (Sadat Academy for Management Sciences, Egypt)
Copyright: 2022
Pages: 20
Source title:
Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch028
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Abstract
In recent years, e-learning has become a revolutionary competitive method. Adapting the content according to learner knowledge is a current challenge in e-learning systems. Currently, most of the e-learning systems evaluate the learner's knowledge level according to crisp responses that are taken during the learning process. Therefore, one of the most significant challenges in e-learning is how to improve the course adaptation in order to achieve high-quality interaction for all learners. Adaptation is an efficient way to help learners to learn their learning activities in easy and a suitable ways. However, there are many factors that lead to uncertainty about the learner evaluation process. This chapter presents a novel approach to handle imprecision, vagueness, ambiguity, and inconsistency in the learner evaluation process to recommend the suitable learning material according to the learner's knowledge level.
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