Ethical and Privacy Issues in the Design of Learning Analytics Applications

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

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

    Abstract

    Issues related to Ethics and Privacy have become a major stumbling block in application of Learning Analytics technologies on a large scale. Recently, the learning analytics community at large has more actively addressed the EP4LA issues, and we are now starting to see learning analytics solutions that are designed not only as an afterthought, but also with these issues in mind. The 2nd EP4LA@LAK16 workshop will bring the discussion on ethics and privacy for learning analytics to a the next level, helping to build an agenda for organizational and technical design of LA solutions, addressing the different processes of a learning analytics workflow.
    Original languageEnglish
    Title of host publicationProceedings of the Sixth International Conference on Learning Analytics and Knowledge
    PublisherAssociation for Computing Machinery (ACM)
    Pages492-493
    Number of pages2
    ISBN (Electronic)978-1-4503-4190-5
    DOIs
    Publication statusPublished - 25 Apr 2016
    EventThe 6th International Learning Analytics & Knowledge Conference - University of Edinburg, Edinburg, United Kingdom
    Duration: 25 Apr 201629 Apr 2016
    http://lak16.solaresearch.org/

    Conference

    ConferenceThe 6th International Learning Analytics & Knowledge Conference
    Abbreviated titleLAK16
    Country/TerritoryUnited Kingdom
    CityEdinburg
    Period25/04/1629/04/16
    Internet address

    Keywords

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

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