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    Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation

    Gutierrez-Santos, Sergio and Mavrikis, M. and Magoulas, George D. (2010) Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation. In: Dicheva, D. and Dochev, D. (eds.) Artificial Intelligence: Methodology, Systems, and Applications. Lecture Notes in Computer Science 6304. Berlin, Germany: Springer Verlag, pp. 181-190. ISBN 9783642154300.

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    Abstract

    Detecting and automating repetitive patterns in users’ actions has several applications. One of them, often overlooked, is supporting learning. This paper presents an approach for detecting repetitive actions in students who are interacting with an exploratory environment for mathematical generalisation. The approach is based on the use of two sliding windows to detect possible regularities, which are filtered at the last stage using task knowledge. The result of this process is used to generate adaptive feedback to students based on their own actions.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Sarah Hall
    Date Deposited: 17 May 2013 08:16
    Last Modified: 02 Dec 2016 13:22
    URI: http://eprints.bbk.ac.uk/id/eprint/6826

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