CSCL interaction analysis for assessing knowledge building outcomes: method and tool

  • Authors:
  • Yanyan Li;Jian Liao;Jing Wang;Ronghuai Huang

  • Affiliations:
  • Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Beijing, China;Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Beijing, China;Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Beijing, China;Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Beijing, China

  • Venue:
  • CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
  • Year:
  • 2007

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Abstract

Interaction analysis plays an important role in computer-supported collaborative learning. This paper proposes a multidimensional analysis framework to study the interaction and makes use of the quantitative analysis method to assess the collaborative knowledge building (CKB) outcomes at individual and group levels. A tool is developed that can support interaction analysis, text analysis, social network analysis and a combination of the above to show the differences of cognitive content and constructive level in terms of collaborative knowledge building. A case study of the interaction analysis via using the tool is presented.