User Modeling Approach for Dyslexic Students in Virtual Learning Environments

User Modeling Approach for Dyslexic Students in Virtual Learning Environments

Fatima Ezzahra Benmarrakchi (Chouaib Doukkali University, Department of Computer Science, El Jadida, Morocco), Jamal El Kafi (Chouaib Doukkali University, Department of Computer Science, El Jadida, Morocco) and Ali Elhore (Chouaib Doukkali University, Department of Computer Science, El Jadida, Morocco)
Copyright: © 2017 |Pages: 9
DOI: 10.4018/IJCAC.2017040101
OnDemand PDF Download:
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Article Preview
Top

This section presents an introduction to ICT use towards users with learning disabilities, learning style models, cognitive trait model and user modeling in order to provide background information for the current investigation.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 11: 4 Issues (2021): 1 Released, 3 Forthcoming
Volume 10: 4 Issues (2020)
Volume 9: 4 Issues (2019)
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing