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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.

Keywords:

Application Platform Collaborative Learning Discourse Analysis Network Anasysis ;Bipartited Network

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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.