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    Informing learning design through analytics: Applying network graph analysis

    Access Status
    Fulltext not available
    Authors
    Ifenthaler, D.
    Gibson, D.
    Dobozy, Eva
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ifenthaler, D. and Gibson, D. and Dobozy, E. 2018. Informing learning design through analytics: Applying network graph analysis. Australasian Journal of Educational Technology. 34 (2): pp. 117-132.
    Source Title
    Australasian Journal of Educational Technology
    DOI
    10.14742/ajet.3767
    ISSN
    1449-5554
    Faculty
    Faculty of Business and Law
    URI
    http://hdl.handle.net/20.500.11937/68038
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Australasian Journal of Educational Technology. Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply dynamic learning analytics information on the fly in order to evaluate learner characteristics, examine learning designs, analyse the effectiveness of learning materials and tasks, adjust difficulty levels, and measure the impact of interventions and feedback. In a case study with 3550 users, the navigation sequence and network graph analysis demonstrate a potential application of learning analytics design. Implications based on the case study show that integration of analytics data into the design of learning environments is a promising approach.

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