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Using automated and fine-grained analysis of pronoun use as indicators of progress in an online collaborative project
Thompson, Kate Kennedy-Clark, Shannon Kelly, Nick Wheeler, Penny
Thompson, Kate
Kennedy-Clark, Shannon
Kelly, Nick
Wheeler, Penny
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Abstract
Multimodal discourse analysis has been shown to be useful in adding depth to our understanding of the processes of computer supported collaborative learning. We take one of the codes used in a multimodal coding scheme (CPACS), and apply automated data extraction techniques to a large corpus of data aimed at one code in the micro-level (pronouns). The results of this are plotted over time, and patterns of pronoun use identified for further investigation using an in-depth systemic functional linguistics (SFL) approach. Complications concerned with singular and plural second person are discussed, and patterns of pronoun use that indicate movement of the group from one phase of design work to the next are identified. Further refinement of the techniques of automated extraction are required to capture additional patterns noted in the SFL analysis.
Keywords
Date
2013
Type
Conference paper
Journal
Book
To see the world and a grain of sand : Learning across levels of space, time, and scale : CSCL 2013 conference proceedings volume 1 — Full papers & symposia
Volume
Issue
Page Range
486-493
Article Number
ACU Department
Centre for Education and Innovation
Collections
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DOI
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Open Access Status
Open access
License
All rights reserved
File Access
Open