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Cited by 174Online and Blended LearningOnline Learning and AnalyticsDigital Communication and Language

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Patterns of Interaction in a Computer Conference Transcript

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Fahy, Patrick J., Crawford, Gail, Ally, Mohamed·2001·The International Review of Research in Open and Distributed Learning

Abstract

An analysis of the interaction patterns in an online conference from a distance education graduate course was conducted, using an approach that focused on the transcript's interactional and structural features. A new tool for transcript analysis, the TAT (Transcript Analysis Tool), was used to analyze interactional features, while structural elements suggested by social network theory were examined. Analysis of the patterns of interaction in the conference showed interaction was variable, and that while all participants were engaged, intensity and persistence of participation were unequal among individual participants in several ways. The TAT showed the proportions of five major types of sentences in the transcript, corresponding to different modes of interaction (questions, statements, reflections, engaging comments, and quotations/citations). The findings showed that the TAT seemed to relate usefully to other work in this area, and that social network principles were valuable in the analysis of conference interaction.

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Citations

Cites

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Metadata

Authors
Fahy, P. J., Crawford, G., & Ally, M.
Venue
The International Review of Research in Open and Distributed Learning
Published
2001-07-01
Volume
2
Issue
1
ISSN
1492-3831 (ISSN-L)
OpenAlex
W2134077948
Cited by
174
References
2
Citations by year
2025: 1 · 2023: 4 · 2022: 2 · 2020: 2 · 2019: 5 · 2018: 3 · 2017: 1 · 2016: 5 · 2015: 4 · 2014: 14 · 2013: 11 · 2012: 13
FWCI
56.63
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • The International Review of Research in Open and Distributed Learning (publishedVersion, cc-by)
  • AUSpace (Athabasca University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Érudit (Université de Montréal) (submittedVersion, cc-by)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Linguistics and Language › Digital Communication and Language
Keywords
online forums, computer-mediated communication, interaction patterns, transcript analysis, social network analysis, participation, distance education, graduate courses, sentence types

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