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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.
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Conference papers
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https://hal.inria.fr/inria-00099838
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Submitted on : Tuesday, September 26, 2006 - 9:41:40 AM
Last modification on : Friday, May 13, 2022 - 2:36:13 PM

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  • HAL Id : inria-00099838, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE | INRIA2

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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. ⟨inria-00099838⟩

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