BIROn - Birkbeck Institutional Research Online

    User model interoperability in education: sharing learner data using the experience API and distributed ledger technology

    Karoudis, K. and Magoulas, George (2018) User model interoperability in education: sharing learner data using the experience API and distributed ledger technology. In: Khan, B.H. and Corbeil, J.R. and Corbeil, M.E. (eds.) Responsible Analytics and Data Mining in Education. Abingdon, UK: Routledge. ISBN 9781138305885.

    [img] Text
    UM interoperability in education-sharing learner data using the xAPI and distributed ledger.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only until 6 June 2020.

    Download (12MB)

    Abstract

    Learning analytics and data mining require gathering and exchanging learner data for further processing and designing of activities tailored to learner’s characteristics, context, and needs. Currently, systems that store learners’ attributes should, ideally, be operated and controlled by responsible and trustworthy authorities that guarantee the protection and sovereignty of data and use objective criteria to protect and represent all parties’ interests. This chapter introduces a peer-to-peer method for storing and exchanging learner data with minimal trust. The proposed approach, underpinned by the Experience API standard, eliminates the need of a mediator authority by using distributed ledger technology.

    Metadata

    Item Type: Book Section
    Additional Information: This is an Accepted Manuscript of a book chapter published by Routledge.
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Prof George Magoulas
    Date Deposited: 29 Jan 2019 14:25
    Last Modified: 01 Aug 2019 20:38
    URI: http://eprints.bbk.ac.uk/id/eprint/25511

    Statistics

    Downloads
    Activity Overview
    1Download
    62Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item