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    A case-based reasoning approach to provide adaptive feedback in microworlds

    Gutierrez-Santos, Sergio and Cocea, Mihaela and Magoulas, George D. (2010) A case-based reasoning approach to provide adaptive feedback in microworlds. In: Aleven, V. and Kay, J. and Mostow, J. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science 2 6095. New York, U.S.: Springer, pp. 330-333. ISBN 9783642134364.

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    This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds. Interaction in microworlds is complex and unstructured, making the analysis of student behaviour difficult and the provision of computer-based feedback challenging. Our approach starts with the ellicitation of expected solutions to microworld tasks (both valid and common mistakes) to generate a case base. This is used to evaluate the actions of students and provide adapted feedback.


    Item Type: Book Section
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 28 Feb 2011 15:19
    Last Modified: 09 Aug 2023 12:30


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