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    Decision models in the design of adaptive educational hypermedia systems

    Access Status
    Fulltext not available
    Authors
    Sampson, Demetrios
    Karampiperis, P.
    Date
    2011
    Type
    Book Chapter
    
    Metadata
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    Citation
    Sampson, D. and Karampiperis, P. 2011. Decision models in the design of adaptive educational hypermedia systems, in Graf, S. et al. (ed), Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers, pp. 1-18. Hershey: IGI Global.
    Source Title
    Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers
    DOI
    10.4018/978-1-60960-842-2.ch001
    ISBN
    9781609608422
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/33500
    Collection
    • Curtin Research Publications
    Abstract

    Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design in Adaptive Educational Hypermedia Systems (AEHS) with either guidance for the direct definition of adaptation rules or semi-automated mechanisms that generate the AM through the implicit definition of such rules. The main drawback of the direct definition of adaptation rules is that there can be cases during the run-time execution of AEHS where no adaptation decision can be made, due to insufficiency and/or inconsistency of the pre-defined adaptation rule sets. The goal of the semi-automated, decisionbased approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the above mentioned problem. However, such approaches still miss a commonly accepted framework for evaluating their performance. In this chapter, we review the design approaches for the definition of the AM in AEHS and discuss a set of performance evaluation metrics proposed by the literature for validating the use of decision-based approaches. © 2012, IGI Global.

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