Using Linked Data in Learning Analytics

Mathieu d'Aquin, Stefan Dietze, Eelco Herder, Hendrik Drachsler, David Taibi

    Research output: Contribution to journalArticleAcademicpeer-review

    37 Downloads (Pure)


    Learning Analytics has a lot to do with data, and the way to make sense of raw data in terms of the learner’s experience, behaviour and knowledge. In this article, we argue about the need for a closer relationship between the field of Learning Analytics and the one of Linked Data, which in our view constitutes an ideal data management layer for Learning Analytics. Based on our experience with organising the “Using Linked Data in Learning Analytics” tutorial at the Learning Analytics and Knowledge conference, we discuss the existing trends in the use of linked data and semantic web technologies, in general in education and in learning analytics specifically. We find that the emerging connections between the two fields are still, at the time of writing, much less prominent than one would expect considering the complementary nature of the considered technologies and practices. We therefore argue that specific efforts, somehow materialised through the tutorial and the work in the LinkedUp support action, are needed to ensure the realisation of the potential cross-benefits that combining Learning Analytics and Linked Data research could bring.
    Original languageEnglish
    Pages (from-to)1-9
    Number of pages9
    JournaleLearning Papers
    Publication statusPublished - Jan 2014


    • Integration
    • Linked Data
    • Linked Learning
    • analysing data
    • learning analytics
    • Semantic Web
    • Web Data


    Dive into the research topics of 'Using Linked Data in Learning Analytics'. Together they form a unique fingerprint.

    Cite this