Computer-supported collaborative learning in the space of debate

Michael Baker Matthieu Quignard 1 Kristine Lund Arnauld Séjourné
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Cutting across the common distinction between learning to argue and arguing to learn, this research is concerned with arguing to learn argumentative knowledge, or broadening and deepening understanding of the space of debate. A secondary school experiment compared broadening/deepening of understanding of the space of a debate on genetically modified organisms, using either a CHAT tool, or else an argument-diagram tool (DREW: Dialogical Reasoning Educational Web tool) that was designed as a medium for interactive debate. Although there was no significant difference between the quality of students' texts before and after debating across the conditions, a new interaction analysis method ("Rainbow") revealed differences in students' expression and elaboration of arguments.
Type de document :
Communication dans un congrès
Fifth International Conference on Computer-Supported Collaborative Learning - CSCL'2003, Jun 2003, Bergen, Norvège, 11 p, 2003
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https://hal.inria.fr/inria-00099838
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 09:41:40
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00099838, version 1

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Michael Baker, Matthieu Quignard, Kristine Lund, Arnauld Séjourné. Computer-supported collaborative learning in the space of debate. Fifth International Conference on Computer-Supported Collaborative Learning - CSCL'2003, Jun 2003, Bergen, Norvège, 11 p, 2003. 〈inria-00099838〉

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