• Login
    View Item 
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Scholarly Articles
    • View Item
    •   SU+ Home
    • Research and Publications
    • Faculty of Information Technology (FIT)
    • FIT Scholarly Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Improving learning throughput in e-learning using interactive-cognitive based assessment

    Thumbnail
    View/Open
    Journal article (653.4Kb)
    Date
    2014
    Author
    Ballera, Melvin
    Ateya, Ismail Lukandu
    Abdalla, Radwan
    Metadata
    Show full item record
    Abstract
    An e-learning website is not sufficient to fully attain the results of online education. There also is a need to align the educational objectives into the design of the assessment to improve and develop cognition, critical thinking and problem-solving skills. Previous studies have explored the potentials of the assessment models but few ventured into their implementation. Others only proposed and introduced conceptual frameworks. The implementation of these proposals, however, revealed that the question type in the assessment phase neglected to align their questionnaire formats into a cognitive schema. At present, the standard multiple-choice question is the most frequently used of the question type of e-learning assessments. However, if this type is the only format adopted by e-learning developers, then the potentially rich and embedded assessment of the computer platform will be given up. This paper focuses on the design of assessment questions, which is created and guided by the hierarchical Bloom cognitive taxonomy and by utilizing rich media formats. Results conducted for eighteen weeks show a dramatic increase in the academic performance of the students. Likewise, digital transcripts converted from the collected perceptions after training undergoes sentiment analysis have correlated with the student improved academic throughput.
    URI
    http://hdl.handle.net/11071/3966
    Collections
    • FIT Scholarly Articles [56]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of SU+Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV