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    User behaviour-driven group formation through case-based reasoning and clustering

    Cocea, Mihaela and Magoulas, George D. (2012) User behaviour-driven group formation through case-based reasoning and clustering. Expert Systems with Applications 39 (10), pp. 8756-8768. ISSN 0957-4174.

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    Abstract

    Group formation for collaborative learning activities is a complex and time consuming task. Different criteria have been proposed for grouping learners in computer-based systems, such as performance and social characteristics. User behaviour is, however, rarely considered when groups are formed. This paper proposes an approach based on user behaviour that complements the current research on group formation based on different criteria. For this purpose, we propose a synergetic approach based on case-based reasoning and clustering to form groups on the basis of user behaviour. Case based reasoning is used to model user behaviour, while clustering uses the output of the CBR mechanism as criteria for placing learners in relevant clusters. The proposed approach is illustrated using an exploratory learning environment for mathematical generalisation called eXpresser.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Case-based reasoning, Clustering, Collaboration, Group formation, Exploratory learning environments
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 14 Feb 2012 09:49
    Last Modified: 02 Dec 2016 13:23
    URI: http://eprints.bbk.ac.uk/id/eprint/4596

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