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Learning analytics considered harmful

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online courses, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

    Original languageAmerican English
    Pages (from-to)87-100
    Number of pages14
    JournalJournal of Asynchronous Learning Networks
    Volume16
    Issue number3
    DOIs
    StatePublished - Jun 18 2012

    ASJC Scopus Subject Areas

    • Education
    • Computer Networks and Communications

    Keywords

    • Effectiveness
    • Evalution
    • Learning Analytics
    • Participation Patterns
    • Threaded Discussions
    • online learning
    • Evaluation
    • Learning analytics
    • Threaded discussions
    • Online learning
    • Participation patterns

    Disciplines

    • Computer Sciences

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