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    Performance evaluation of adaptive content selection in AEHS

    Access Status
    Fulltext not available
    Authors
    Karampiperis, P.
    Sampson, Demetrios
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    Karampiperis, P. and Sampson, D. 2011. Performance evaluation of adaptive content selection in AEHS, in Tsihrintzis, G. and Virvou, M. and Jain, L., and Howlett (ed), Intelligent Interactive Multimedia Systems and Services: Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS 2011), pp. 187-197. Berlin: Springer.
    Source Title
    Smart Innovation, Systems and Technologies
    DOI
    10.1007/978-3-642-22158-3_19
    ISBN
    9783642221576
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/12944
    Collection
    • Curtin Research Publications
    Abstract

    Adaptive content selection is recognized as a challenging research issue in adaptive educational hypermedia systems (AEHS). Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design by providing AEHS designers with either guidance for the direct definition of adaptation rules, or semi-automated mechanisms which generate the AM via the implicit definition of such rules. The goal of the semi-automated, decision-based approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the insufficiency and/or inconsistency problems of the defined adaptation rule sets. Although such approaches bare the potential to provide efficient AMs, they still miss a commonly accepted framework for evaluating their performance. In this paper, we propose an evaluation framework suitable for validating the performance decision-based approaches in adaptive learning objects selection in AEHS and demonstrate the use of this framework in the case of our proposed decision-based approach for estimating the desired AEHS response. © Springer-Verlag Berlin Heidelberg 2011.

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