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      The Impact on Reading Performance and Learner Satisfaction & Behaviour, of Matching E-Training Material to Dyslexia Type

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      proceedings-article
      ,
      35th International BCS Human-Computer Interaction Conference (HCI2022)
      Towards a Human-Centred Digital Society
      July 11th to 13th, 2022
      Arabic, Dyslexia Types, E-learning, Matching, Reading Performance, Learner Satisfaction, Adaptation
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            Abstract

            Dyslexia is a universal reading difficulty that can be found everywhere regardless of a person’s ethnicity or race. Its manifestation is language-dependent and is affected by the language’s structure and orthography. There is a lack of research into Arabic dyslexia and especially into the benefits of adaptive learning in this domain. This study aims to understand the impact on learners’ reading performance, satisfaction and behaviour when matching e-training material to a learner’s attributes. The focus is on learners with short vowel dyslexia (SVD). The study was undertaken with 22 female primary school children in Saudi Arabia, who were all native Arabic speakers. An e-training system DysTypeTrain2 was designed and developed to support the study. It was found that both the reading performance and satisfaction of learners with dyslexia were improved in both experimental conditions (SVD group and vowel dyslexia (VD) group), regardless of their dyslexia type, indicating that the system was effective and the learning process was enhanced.

            Content

            Author and article information

            Contributors
            Conference
            July 2022
            July 2022
            : 1-10
            Affiliations
            [0001]Computer Sciences Department

            Princess Nourah Bint Abdulrahman University

            Riyadh

            Saudi Arabia
            [0002]School of Computer Science

            University of Birmingham

            Birmingham

            UK
            Article
            10.14236/ewic/HCI2022.14
            cbf507b4-b055-44d7-a475-a5b41b2a2e81
            © AI-Dawsari et al. Published by BCS Learning & Development. Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            35th International BCS Human-Computer Interaction Conference
            HCI2022
            35
            Keele, Staffordshire
            July 11th to 13th, 2022
            Electronic Workshops in Computing (eWiC)
            Towards a Human-Centred Digital Society
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2022.14
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Adaptation,Dyslexia Types,Learner Satisfaction,Arabic,Reading Performance,Matching,E-learning

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