Home > Archive > 2016 > Volume 6 Number 4 (Apr. 2016) >
IJIET 2016 Vol.6(4): 251-255 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.695

A Qualitative Study of Insults in Collaborative Learning

David N. Prata, Patrick Letouze, Stefano Cerri, and Evandro Costa

Abstract—In computer-supported collaborative learning, automatic coding procedure strategies are necessary for teaching because of the large amount of dialogue acts that must be evaluated. In addition, the characterization of a student’s social identification for collaborative and learning behaviors might affect a student’s learning outcomes in a variety of ways. An effective learning analysis of the interactive processes cannot dissociate cognitive from social factors. We present a qualitative study of social behavior for insults (flaming) in an anonymous, text-based, collaborative learning dialogue protocol. The application of a nuanced framework of miscommunication for ‘flaming’ conveys new outcomes for social behavior, as the effect of insults, in collaborative learning processes. This study reinforces the importance of conflict as a variable to understand what, when, and how agents can intervene in collaborative learning dialogues in order to monitor and mediate when necessary, thus keeping the conversation progressing in a productive direction.

Index Terms—Computer-supported collaborative learning, flaming, insults, interpersonal conflict.

David N. Prata, Patrick Letouze, and Evandro Costa are with Federal University of Tocantins, CO 77.001-009, Brazil (e-mail: ddnprata@uft.edu.br, Patrick.letouze@gmail.com, ebc.academico@gmail.com).
Stefano Cerri is with Université Montpellier, CO 34000, France (e-mail: cerri@lirmm.fr).

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Cite: David N. Prata, Patrick Letouze, Stefano Cerri, and Evandro Costa, "A Qualitative Study of Insults in Collaborative Learning," International Journal of Information and Education Technology vol. 6, no. 4, pp. 251-255, 2016.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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