A learnable content & participation analysis toolkit for assessing CSCL learning outcomes and processes

  • Authors:
  • Nancy Law;Johnny Yuen;Ronghuai Huang;Yanyan Li;Nicol Pan

  • Affiliations:
  • Centre for Information Technology in Education, University of Hong Kong, Hong Kong, China;Centre for Information Technology in Education, University of Hong Kong, Hong Kong, China;Knowledge Science and Engineering Institute, Beijing Normal University, Beijing, China;Knowledge Science and Engineering Institute, Beijing Normal University, Beijing, China;Centre for Information Technology in Education, University of Hong Kong, Hong Kong, China

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

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Abstract

In this paper, the authors first review the different kinds of analysis methods used by researchers to assess students' learning outcomes and processes to propose a categorization framework that can be applicable for assessment methods of CSCL discourse irrespective of the theoretical underpinning of the assessment method. A conceptual design for the construction of a suite of learnable content and participation analysis tools is proposed to provide intelligent support to analysis of online discourse. It is argued in this paper that the implementation of such a toolkit will facilitate collaboration and critical co-construction of knowledge about CSCL outcomes and processes among researchers. An example is also provided for the use of VINCA, a prototype for the toolkit, in comparing the cognitive engagement of two groups of students through text analysis.