Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/3406
Title: Complex Network Theory Approach to the Assessment on Collective Knowledge Advancement through Scientifc Discourse in CSCL
Authors: Oshima, Jun
Oshima, and Ritsuko
Issue Date: Jul-2007
Publisher: International Society of the Learning Sciences, Inc.
Citation: Oshima, J. & Oshima, a. (2007). Complex Network Theory Approach to the Assessment on Collective Knowledge Advancement through Scientifc Discourse in CSCL. In Chinn, C. A., Erkens, G., & Puntambekar, S. (Eds.), The Computer Supported Collaborative Learning (CSCL) Conference 2007, Volume 8, Part 2 (pp. 563-565). New Brunswick, NJ, USA: International Society of the Learning Sciences.
Abstract: This study discusses the possibility of the integrated analytic approach to discourse in CSCL by the combination of macro network analysis and micro analysis of argument on students' written discourse. Although studies have established fine-grained analytic approaches to discourse or argumentation in CSCL environments, we still have difficulty with evaluating collective knowledge advancement. The Complex Network Theory would be a promising approach to challenging this difficulty. We can visualize a variety of network structures with identifying ideas as nodes, and co-presence of words as links. Several indices numerically inform us how a target network is structured. In this paper, we report our attempt to describe how the network of ideas represented in discourse is structured in CSCL environments and its relation to the network structure analysis.
URI: https://doi.dx.org/10.22318/cscl2007.563
https://repository.isls.org//handle/1/3406
Appears in Collections:CSCL 2007

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