• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Conceptual Motivation Modeling for Students with Dyslexia for enhanced Assistive Learning

    View/Open
    UIU SmartLearn paper356.pdf (2.593Mb)
    Date
    2017-03-13
    Author
    Wang, Ruije;
    Chen, Liming;
    Solheim, Ivar;
    Schulz, Trenton;
    Ayesh, Aladdin, 1972-
    Metadata
    Show attachments and full item record
    Abstract
    Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users’ motivational factors into user modeling to enhance the learning experience for students with dyslexia. In this paper we attempt to develop a conceptual motivation model for people with dyslexia in their use of assistive learning tools. To this end, we carry out a small-scale empirical study in real-world learning scenarios. Then we conduct individual interviews to gain first-hand data about the key factors and features affecting learning experience. Using coding and thematic analysis methods we discuss main themes regarding motivational factors and their interrelationships identified. Based on these findings, we create a conceptual motivation model tailored towards students with dyslexia, which will help enhance learning experience and improve learning efficiency.
    Description
    Citation : Wang, R. et al. (2017) Conceptual Motivation Modeling for Students with Dyslexia for enhanced Assistive Learning. SmartLearn '17 Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, pp. 11-18
    URI
    http://hdl.handle.net/2086/13769
    DOI
    http://dx.doi.org/10.1145/3038535.3038542
    ISBN : 9781450349048
    Research Institute : Cyber Technology Institute (CTI)
    Research Institute : Institute of Artificial Intelligence (IAI)
    Collections
    • School of Computer Science and Informatics [2973]

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary