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User Modeling Approach for Dyslexic Students in Virtual Learning Environments

User Modeling Approach for Dyslexic Students in Virtual Learning Environments

Fatima Ezzahra Benmarrakchi, Jamal El Kafi, Ali Elhore
Copyright: © 2017 |Volume: 7 |Issue: 2 |Pages: 9
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781522515029|DOI: 10.4018/IJCAC.2017040101
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MLA

Benmarrakchi, Fatima Ezzahra, et al. "User Modeling Approach for Dyslexic Students in Virtual Learning Environments." IJCAC vol.7, no.2 2017: pp.1-9. http://doi.org/10.4018/IJCAC.2017040101

APA

Benmarrakchi, F. E., El Kafi, J., & Elhore, A. (2017). User Modeling Approach for Dyslexic Students in Virtual Learning Environments. International Journal of Cloud Applications and Computing (IJCAC), 7(2), 1-9. http://doi.org/10.4018/IJCAC.2017040101

Chicago

Benmarrakchi, Fatima Ezzahra, Jamal El Kafi, and Ali Elhore. "User Modeling Approach for Dyslexic Students in Virtual Learning Environments," International Journal of Cloud Applications and Computing (IJCAC) 7, no.2: 1-9. http://doi.org/10.4018/IJCAC.2017040101

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Abstract

Dyslexia or reading disability is one of the most common learning disabilities. It is defined as a disorder manifested by difficulty in learning to read despite conventional instruction, adequate intelligence, and sociocultural opportunity. In this paper the authors focus on the potential benefits of the use of Information and Communication Technology (ICT) for students with dyslexia to promote the learning process, by considering the relationship between their learning style preferences and their cognitive traits in virtual learning environments. At this propose the authors investigated the relationship between dyslexic's learning style and cognitive trait within the hypothesis that dyslexic learners may have possible preferences in virtual learning environment, which may be used to improve the dyslexic user modelling. The aim of this paper is to provide an adaptive learning environment for users with dyslexia based on their learning styles preferences and their cognitive traits.

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