Adaptive E-Learning and Dyslexia: an Empirical Evaluation and Recommendations for Future Work
Author:
Affiliation:
1. University of Tabuk Computer Science Department, , Tabuk 71491, Saudi Arabia
2. University of Birmingham School of Computer Science, , Edgbaston, Birmingham, B15 2TT, United Kingdom
Abstract
Publisher
Oxford University Press (OUP)
Subject
Human-Computer Interaction,Software,Library and Information Sciences
Link
https://academic.oup.com/iwc/advance-article-pdf/doi/10.1093/iwc/iwad036/50542408/iwad036.pdf
Reference54 articles.
1. Informing Design of an Adaptive Learning Model for student with Dyslexia
2. The effect of matching learning material to learners’ dyslexia type on reading performance;Al-Dawsari;Advances in Software Engineering, Education, and E-learning. Transactions on Computational Science and Computational Intelligence,2021
3. The impact of adaptation based on students’ dyslexia type: an empirical evaluation of students’ satisfaction;Alghabban;Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization,2020
4. Adapting e-learning to dyslexia type: an experimental study to evaluate learning gain and perceived usability;Alghabban;International Conference on Human-Computer Interaction,2020
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