Ontology of learning object content structure

J. Jovanovic, D. Gasevic, K. Verbert, E. Duval

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

    24 Citations (Scopus)

    Abstract

    This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.
    Original languageEnglish
    Title of host publicationArtificial intelligence in education supporting learning through intelligent and socially informed technology(AIED 2005)
    EditorsC.-K. Looi, G. McCalla, B. Bredeweg, J. Breuker
    PublisherIOS Press
    Pages322-329
    ISBN (Print)978-1-58603-530-3
    Publication statusPublished - 2005
    Eventconference; 12th international conference on artificial intelligence in education (AIED-2005), 18-22 july 2005, Amsterdam, The Netherlands -
    Duration: 1 Jan 2005 → …

    Publication series

    NameFrontiers in Artificial Intelligence and Applications

    Conference

    Conferenceconference; 12th international conference on artificial intelligence in education (AIED-2005), 18-22 july 2005, Amsterdam, The Netherlands
    Period1/01/05 → …
    Other12th international conference on artificial intelligence in education (AIED-2005), 18-22 july 2005, Amsterdam, The Netherlands

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