• Login
    View Item 
    •   Repository Home
    • Staff Publications
    • School of Computing & Informatics
    • View Item
    •   Repository Home
    • Staff Publications
    • School of Computing & Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Implementation of AI-based assistive technologies for learners with physical disabilities in Kenya: a practical design thinking approach

    Thumbnail
    View/Open
    Abstract (4.163Kb)
    Date
    2022-06
    Author
    Chege, Amos
    Bundi, Dorothy
    Kitaria, Dismas
    Huka, Guyo
    Muchiri, Geoffrey
    Metadata
    Show full item record
    Abstract
    Inclusion of Learners with disabilities continues to extensively rely on digital and Artificial Intelligence (AI) enabled Assistive Technologies (AT) as enablers for teaching and learning. However, the provision of ATs to meet the unique needs of PWDs continues to be a challenge. Moreover, such AI enabled ATs exist within areas of innovations, learning and working environments, hence the need for ease of learning, usage and cost effective acquisition and implementation. This paper introduces a systematic approach that matches the unique needs of PwD learners and abilities of innovators using AI-ATs. The research approach applies Design Thinking (DM), participatory elements enhanced with online collaborative tools. The study was conducted in 3 physically challenged pilot schools and an AT Centre at Meru University of science and technology. The objective of the study was to create better understanding of learners with physical disabilities and innovators with a view of enabling accurate identification, evaluation and choice of appropriate AI-ATs so as to develop learning and innovation spaces that enable the creation, introduction and testing of AI-ATs for e-inclusion. The expected outcome of this research is socio-economic inclusivity for livelihood empowerment as well as de-stigmatization of PwDs.
    URI
    http://repository.must.ac.ke/handle/123456789/753
    Collections
    • School of Computing & Informatics [66]

    MUST Repository copyright © 2002-2016  MUST Repository
    Contact Us | Send Feedback
    Theme by 
    MUST Repository
     

     

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    MUST Repository copyright © 2002-2016  MUST Repository
    Contact Us | Send Feedback
    Theme by 
    MUST Repository