Sharing Knowledge in Adaptive Learning Systems

Milos Kravcik, Dragan Gasevic

    Research output: Contribution to conferencePaperAcademic

    15 Downloads (Pure)

    Abstract

    In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does not support reusability very well, thus we need to represent the knowledge that could help us in generating the instances dynamically.
    Original languageEnglish
    Publication statusPublished - 18 Sept 2006

    Keywords

    • IMS Learning Design
    • Adaptive Learning

    Fingerprint

    Dive into the research topics of 'Sharing Knowledge in Adaptive Learning Systems'. Together they form a unique fingerprint.

    Cite this