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Towards educational data mining: Using data mining methods for automated chat analysis to understand and
 

Summary: Towards educational data mining: Using data mining
methods for automated chat analysis to understand and
support inquiry learning processes
Anjo Anjewierden, Bas Koll¨offel, and Casper Hulshof
Department of Instructional Technology, Faculty of Behavourial Sciences,
University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
{a.a.anjewierden,b.j.kolloffel,c.d.hulshof}@utwente.nl
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 mod-
els 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.
1 Introduction

  

Source: Anjewierden, Anjo - Instituut voor Informatica, Universiteit van Amsterdam

 

Collections: Computer Technologies and Information Sciences