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Combining intelligent methods for learner modelling in exploratory learning environments

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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    Abstract

    Most of the existing learning environments work in well-structured domains by making use of or combining AI techniques in order to create and update a learner model, provide individual and/or collaboration support and perform learner diagnosis. In this paper we present an approach that exploits the synergy of case-base reasoning and soft-computing for learner modelling in an ill-structured domain for exploratory learning. We present the architecture of the learner model, the knowledge formulation in terms of cases and illustrate its application in an exploratory learning environment for mathematical generalisation.
    Original languageEnglish
    Title of host publicationProceedings of the 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008), in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08)
    EditorsI. Hatzilygeroudis, C. Koutsojannis, V. Palade
    PublisherCEUR Workshop Proceedings
    Pages13-18
    Number of pages6
    Edition375
    Publication statusPublished - 21 Jul 2008
    Event1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008) in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08) - Patras, Greece
    Duration: 21 Jul 200822 Jul 2008

    Publication series

    NameCEUR-WS
    PublisherCEUR-WS
    Number375

    Workshop

    Workshop1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008) in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08)
    Country/TerritoryGreece
    Period21/07/0822/07/08

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