Towards eductational data mining: Using data mining methods for automated chat analysis to understand and support inquiry learning processes

Anjo Anjewierden, Bas Kollöffel, Casper D. Hulshof

    Research output: Contribution to conferencePaper

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    Abstract

    In this paper we investigate the application of data mining methods to provide learners with real-time adaptive feedback on the nature and patterns of their on-line communication while learning collaboratively.We derived two models for classifying chat messages using data mining techniques and tested these on an actual data set [16]. The reliability of the classification of chat messages is established by comparing the models performance to that of humans. Results indicate that the classification of messages is reasonably reliable and can thus be done automatically and in real-time. This makes it, for example, possible to increase the awareness of learners by visualizing their interaction behaviour by means of avatars. It is concluded that the application of data mining methods to educational chats is both feasible and can, over time, result in the improvement of learning environments.
    Original languageEnglish
    Pages27-36
    Publication statusPublished - 2007
    EventInternational Workshop on Applying Data Mining in e-Learning, ADML 2007 - Sissi, Lassithi - Crete, Greece
    Duration: 18 Sept 200718 Sept 2007

    Conference

    ConferenceInternational Workshop on Applying Data Mining in e-Learning, ADML 2007
    Abbreviated titleADML 2007
    Country/TerritoryGreece
    CitySissi, Lassithi - Crete
    Period18/09/0718/09/07

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