Please use this identifier to cite or link to this item: https://repository.isls.org/handle/1/838
Title: Using Automated and Fine-Grained Analysis of Pronoun Use as Indicators of Progress in an Online Collaborative Project
Authors: Thompson, Kate
Kennedy-Clark, Shannon
Kelly, Nick
Wheeler, Penny
Issue Date: Jun-2013
Publisher: International Society of the Learning Sciences
Citation: Thompson, K., Kennedy-Clark, S., Kelly, N., & Wheeler, P. (2013). Using Automated and Fine-Grained Analysis of Pronoun Use as Indicators of Progress in an Online Collaborative Project. In Rummel, N., Kapur, M., Nathan, M., & Puntambekar, S. (Eds.) (2013). 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. International Society of the Learning Sciences. pp. 486-493.
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.
URI: https://doi.dx.org/10.22318/cscl2013.V1-486-493
https://repository.isls.org/handle/1/838
Appears in Collections:CSCL 2013

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