Addressing some Common Problems in Transcript Analysis

Patrick J. Fahy

124 citations0/0 files storedThe International Review of Research in Open and Distributed Learning

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Online and Blended Learning Online Learning and Analytics Focus Groups and Qualitative Methods

Abstract

Computer conferencing is one of the more useful parts of computer-mediated communications (CMC), and is virtually ubiquitous in distance education. The temptation to analyze the resulting interaction has resulted in only partial success, however (Henri, 1992; Kanuka and Anderson, 1998; Rourke, Anderson, Garrison and Archer, 1999; Fahy, Crawford, Ally, Cookson, Keller and Prosser, 2000). Some suggest the problem is made more complex by failings of both technique and, more seriously, theory capable of guiding transcript analysis research (Gunawardena, Lowe and Anderson, 1997). We have previously described development and pilot-testing of an instrument and a process for transcript analysis, call the the TAT (Transcript Analysis Tool), based on a model originally developed by Zhu (1996). We found that the instrument and coding procedures used provided acceptable "sometimes excellent" levels of interrater reliability (varying from 70 percent to 94 percent in pilot applications, depending upon user training and practice with the instrument), and that results of pilots indicated the TAT discriminated well among the various types of statements found in online conferences (Fahy, et al., 2000).

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1999Assessing Social Presence In Asynchronous Text-based Computer Conferencing 1997Analysis of a Global Online Debate and the Development of an Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing 1992Computer Conferencing and Content Analysis 2000Theoretical Challenges for Distance Education in the 21st Century: A Shift from Structural to Transactional Issues 1998Online Social Interchange, Discord, and Knowledge Construction 1996Meaning Negotiation, Knowledge Construction, and Mentoring in a Distance Learning Course

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