Evaluating CSCL log files by social network analysis

  • Authors:
  • Kari Nurmela;Erno Lehtinen;Tuire Palonen

  • Affiliations:
  • University of Turku;University of Turku;University of Turku

  • Venue:
  • CSCL '99 Proceedings of the 1999 conference on Computer support for collaborative learning
  • Year:
  • 1999

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Abstract

In this paper our aim is to present a methodology which can be used in analyzing the interaction processes in a groupware environment. We demonstrate how the social network analysis approach can be used as a method to evaluate the social level structures and processes of a group studying in a CSCL environment. This approach tries to highlight in particular the participatory aspects of collaborative learning processes, but it can also serve as a starting point for more detailed analysis of knowledge building and acquisition processes. The relations between learners and the structure between documents written are the examples studied here.There are some features that make log files especially important in CSCL systems. First, log files can be used automatically, precisely and effectively for data collection. Second, analyzing this information enables evaluative perspective to the collaborative action as a whole. Third, this feedback can be made available immediately for the learning community. As a contribution, we can assume that the network analysis of log files helps us to understand the working processes in CSCL.