Enabling systematic adoption of learning analytics through a policy framework

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    4 Citations (Scopus)


    Learning analytics (LA) has shown a great potential in improving learning experience and enhancing pedagogical effectiveness. However, the adoption of LA in higher education involves various social, cultural, and technical issues that need to be addressed strategically. We present a study that aims to assist with the development of institutional LA policies to ensure effective and legitimate adoption of LA. The study takes an action research approach and involves key stakeholders directly, so as to incorporate a wide range of perspectives in the policy formation. Ethics and privacy issues were considered the priority element in a LA policy and the top concern for students. A sense of uncertainty about the returns in investment was observed among senior managers, whereas teaching staff were mostly worried about time pressure and the potential of LA to be used for performance appraisal. This poster presents a policy framework that can be used to support institutional readiness assessment, strategy formation, and policy development.

    Original languageEnglish
    Title of host publicationLifelong Technology-Enhanced Learning
    Subtitle of host publication13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3–5, 2018 Proceedings
    EditorsViktoria Pammer-Schindler, Mar Perez-Sanagustin, Hendrik Drachsler, Raymond Elferink, Maren Scheffel
    Place of PublicationCham Switzerland
    Number of pages5
    ISBN (Electronic)9783319985725
    ISBN (Print)9783319985718
    Publication statusPublished - 2018
    EventEuropean Conference on Technology Enhanced Learning (EC-TEL) 2018 - Leeds, United Kingdom
    Duration: 3 Sept 20185 Sept 2018
    Conference number: 13th
    https://link.springer.com/book/10.1007/978-3-319-98572-5 (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceEuropean Conference on Technology Enhanced Learning (EC-TEL) 2018
    Abbreviated titleEC-TEL 2018
    Country/TerritoryUnited Kingdom
    Internet address


    • Higher education
    • Learning analytics
    • Policy

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