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Identification and Classification of the Most Important Moments from Students’ Collaborative Discourses

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

In this paper we present a method that combines the cognitive and socio-cultural paradigms for automatically identifying the most important moments (the so-called pivotal moments) from a Computer Supported Collaborative Learning chat. The existing applications do not identify these moments and we propose a flexible visual method for filling this gap. Since these moments may have different roles in a discourse, we also propose a classification of the identified types of important moments from chat conversations.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, “Politehnica” University of Bucharest, 313 Splaiul Independetei, Bucharest, Romania

    Costin-Gabriel Chiru & Stefan Trausan-Matu

  2. Research Institute for Artificial Intelligence of the Romanian Academy, 13 Calea 13 Septembrie, Bucharest, Romania

    Stefan Trausan-Matu

Authors
  1. Costin-Gabriel Chiru
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  2. Stefan Trausan-Matu
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Editor information

Editors and Affiliations

  1. University of Montpellier & CNRS LIRMM, 161 rue Ada, 34095, Montpellier, France

    Stefano A. Cerri

  2. NASA and Florida Institute for Human and Machine Cognition, Human Centered Computing - Intelligent Systems Division, 94035, Moffett Field, CA, USA

    William J. Clancey

  3. Department of Applied Informatics and Multimedia, Technological Educational Institute of Crete, School of Applied Technology, Stavromenos, P.O.Box 1939, 71004, Heraklion, Crete, Greece

    Giorgos Papadourakis

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2012 Springer-Verlag Berlin Heidelberg

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Chiru, CG., Trausan-Matu, S. (2012). Identification and Classification of the Most Important Moments from Students’ Collaborative Discourses. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_43

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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