Ethical and Privacy Issues in the Application of Learning Analytics

Hendrik Drachsler, Tore Hoel, Maren Scheffel, Gabor Kismihok, Alan Berg, Rebecca Ferguson, Weiqin Chen, Adam Cooper, Jocelyn Manderveld

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


    The large-scale production, collection, aggregation, and processing of information from various learning platforms and online environments have led to ethical and privacy concerns regarding potential harm to individuals and society. In the past, these types of concern have impacted on areas as diverse as computer science, legal studies and surveillance studies. Within a European consortium that brings together the EU project LACE, the SURF SIG Learning Analytics, the Apereo Foundation and the EATEL SIG dataTEL, we aim to understand the issues with greater clarity, and to find ways of overcoming the issues and research challenges related to ethical and privacy aspects of learning analytics practice. This interactive workshop aims to raise awareness of major ethics and privacy issues. It will also be used to develop practical solutions to advance the application of learning analytics technologies.
    Original languageEnglish
    Title of host publicationProceedings of the Fifth International Conference on Learning Analytics And Knowledge
    Place of PublicationNew York, USA
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages2
    ISBN (Print)978-1-4503-3417-4
    Publication statusPublished - 16 Mar 2015
    EventThe 5th International Learning Analytics and Knowledge (LAK) Conference: Scaling Up: Big Data to Big Impact - Marist College, Poughkeepsie, United States
    Duration: 16 Mar 201520 Mar 2015
    Conference number: 5

    Publication series

    SeriesICPS: ACM International Conference Proceeding Series


    ConferenceThe 5th International Learning Analytics and Knowledge (LAK) Conference
    Abbreviated titleLAK'15
    Country/TerritoryUnited States
    Internet address


    • learning analytics
    • ethics
    • privacy
    • legal rights
    • data ownership
    • surveillance


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