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KBDeX: A Platform for Exploring Discourse in Collaborative Learning
Yoshiaki Matsuzaw1, Jun Oshima1, Ritsuko Oshima1
1Faculty of Informatics, Shizuoka University, Johoku 3-5-1 Nakaku, Hamamatsu, Shizuoka, Japan.
Procedia, Social and Behavioral Sciences
|April 15, 2020
Summary
This study introduces a new method for analyzing collaborative learning discourse using complex network science. The Knowledge Building Discourse Explorer (KBDeX) platform visualizes group dynamics to enhance understanding of emergent knowledge building.
Area of Science:
- Learning Sciences
- Complex Network Science
- Discourse Analysis
Background:
- Traditional qualitative methods struggle to capture group dynamics in collaborative learning.
- Emergent collaborative learning on ill-structured tasks requires advanced analytical approaches.
- Analyzing discourse is crucial for understanding knowledge building processes.
Purpose of the Study:
- To establish a methodology for discourse analysis in collaborative learning using complex network science.
- To develop the Knowledge Building Discourse Explorer (KBDeX) application platform.
- To facilitate researcher communication and enable student self-exploration of group dynamics.
Main Methods:
- Developing the KBDeX platform for discourse analysis.
- Utilizing complex network science principles to model discourse.
- Visualizing network structures based on bipartite graphs (words × discourse units).
- Generating three network visualizations: students, discourse units, and selected words.
Main Results:
- KBDeX provides network visualizations of discourse structures.
- Users can explore network coefficients and analyze discourse across phases.
- The platform facilitates the examination of group dynamics in collaborative learning.
Conclusions:
- KBDeX offers a novel approach to analyzing collaborative learning discourse.
- The platform enhances the understanding of emergent knowledge building processes.
- KBDeX benefits both researchers and students in exploring collaborative dynamics.
Keywords:
Application PlatformCollaborative LearningDiscourse AnalysisNetwork Anasysis ;Bipartited NetworkMore Related Videos
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