Cohesion network analysis of CSCL participation

Mihai Dascalu, Danielle McNamara, Stefan Trausan-Matu, Laura K. Allen

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The broad use of computer-supported collaborative-learning (CSCL) environments (e.g., instant messenger–chats, forums, blogs in online communities, and massive open online courses) calls for automated tools to support tutors in the time-consuming process of analyzing collaborative conversations. In this article, the authors propose and validate the cohesion network analysis (CNA) model, housed within the ReaderBench platform. CNA, grounded in theories of cohesion, dialogism, and polyphony, is similar to social network analysis (SNA), but it also considers text content and discourse structure and, uniquely, uses automated cohesion indices to generate the underlying discourse representation. Thus, CNA enhances the power of SNA by explicitly considering semantic cohesion while modeling interactions between participants. The primary purpose of this article is to describe CNA analysis and to provide a proof of concept, by using ten chat conversations in which multiple participants debated the advantages of CSCL technologies. Each participant’s contributions were human-scored on the basis of their relevance in terms of covering the central concepts of the conversation. SNA metrics, applied to the CNA sociogram, were then used to assess the quality of each member’s degree of participation. The results revealed that the CNA indices were strongly correlated to the human evaluations of the conversations. Furthermore, a stepwise regression analysis indicated that the CNA indices collectively predicted 54% of the variance in the human ratings of participation. The results provide promising support for the use of automated computational assessments of collaborative participation and of individuals’ degrees of active involvement in CSCL environments.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalBehavior Research Methods
DOIs
StateAccepted/In press - Apr 13 2017

Fingerprint

Social Support
Learning
Blogging
Semantics
Regression Analysis
Technology
Network Analysis
Collaborative Learning
Participation
Cohesion
Power (Psychology)
Grounded Theory

Keywords

  • Cohesion network analysis, Computer-supported collaborative learning
  • Cohesion-based discourse analysis
  • Dialogism
  • Participation evaluation
  • Polyphonic model

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Psychology (miscellaneous)
  • Psychology(all)

Cite this

Cohesion network analysis of CSCL participation. / Dascalu, Mihai; McNamara, Danielle; Trausan-Matu, Stefan; Allen, Laura K.

In: Behavior Research Methods, 13.04.2017, p. 1-16.

Research output: Contribution to journalArticle

Dascalu, Mihai ; McNamara, Danielle ; Trausan-Matu, Stefan ; Allen, Laura K. / Cohesion network analysis of CSCL participation. In: Behavior Research Methods. 2017 ; pp. 1-16.
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