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Knowledge building in asynchronous discussion groups: Going beyond quantitative analysis
ARTICLE

Computers & Education Volume 46, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

This contribution examines the methodological challenges involved in defining the collaborative knowledge-building processes occurring in asynchronous discussion and proposes an approach that could advance understanding of these processes. The written protocols that are available to the analyst provide an exact record of the instructional transactions at a given time in the online discussion. On the basis of a study of online discussion forums used in a higher education context, a model for the analysis of collaborative knowledge building in asynchronous discussion is presented. The model allows examination of the communication from the multiple perspectives of interaction, cognition and discourse analysis. The investigation was conducted using a qualitative case study approach and involved an in-depth examination of three cases. Content analysis of the discourse was done at a number of levels, focusing on the discussion forum itself, the discussion threads, the messages, and the exchanges and moves among the messages. As a result of correspondences found among the variables representing the different levels of the analysis, the most important being the relationship between type of interaction, phase of critical inquiry, and move in the exchange structure, it was possible to build a scheme for assessing knowledge building in asynchronous discussion groups. The scheme integrates the interactive, cognitive and discourse dimensions in computer-supported collaborative learning (CSCL). The study represents a merging of quantitative analysis within qualitative methodology and provides both an analytic and a holistic perspective on CSCL.

Citation

Schrire, S. (2006). Knowledge building in asynchronous discussion groups: Going beyond quantitative analysis. Computers & Education, 46(1), 49-70. Elsevier Ltd. Retrieved December 15, 2019 from .

This record was imported from Computers & Education on January 30, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2005.04.006

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