Using automated and fine-grained analysis of pronoun use as indicators of progress in an online collaborative project

Kate Thompson, Shannon Kennedy-Clark, Nick Kelly, Penny Wheeler

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationCSCL 2013 conference proceedings
Subtitle of host publication10th International Conference on Computer-Supported Collaborative Learning
EditorsNikol Rummel, Manu Kapur, Mitchell Nathan, Sadhana Puntambekar
PublisherInternational Society of the Learning Sciences (ISLS)
Pages486-493
Number of pages8
Volume1
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Computer-Supported Collaborative Learning (10th : 2013) - Madison, United States
Duration: 15 Jun 201319 Jun 2013

Conference

ConferenceInternational Conference on Computer-Supported Collaborative Learning (10th : 2013)
CountryUnited States
CityMadison
Period15/06/1319/06/13

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    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 N. Rummel, M. Kapur, M. Nathan, & S. Puntambekar (Eds.), CSCL 2013 conference proceedings: 10th International Conference on Computer-Supported Collaborative Learning (Vol. 1, pp. 486-493). International Society of the Learning Sciences (ISLS).