Using automated and fine-grained analysis of pronoun use as indicators of progress in an online collaborative project
Paper
Paper/Presentation Title | Using automated and fine-grained analysis of pronoun use as indicators of progress in an online collaborative project |
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Presentation Type | Paper |
Authors | Thompson, Kate (Author), Kennedy-Clark, Shannon (Author), Kelly, Nick (Author) and Wheeler, Penny (Author) |
Editors | Rummel, Nicol, Kapur, Manu, Nathan, Mitchell and Puntambekar, Sadhana |
Journal or Proceedings Title | Proceedings of the 10th International Conference on Computer-Supported Collaborative Learning (CSCL 2013) |
ERA Conference ID | 42617 |
Journal Citation | 1, pp. 486-493 |
Number of Pages | 8 |
Year | 2013 |
Place of Publication | New York, NY. United States |
Web Address (URL) of Paper | http://www.isls.org/cscl2013/Volume%201%20Final%20CSCL%202013%20Proceedings.pdf |
Conference/Event | 10th International Conference on Computer-Supported Collaborative Learning (CSCL 2013): To See the World and a Grain of Sand: Learning across Levels of Space, Time, and Scale |
Computer Supported Collaborative Learning | |
Event Details | Computer Supported Collaborative Learning CSCL Rank A A |
Event Details | 10th International Conference on Computer-Supported Collaborative Learning (CSCL 2013): To See the World and a Grain of Sand: Learning across Levels of Space, Time, and Scale Event Date 15 to end of 19 Jun 2013 Event Location Madison, WI. United States |
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 multi-modal 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 the next are identified. Further refinement of the techniques of automated extraction are required to capture additional patterns noted in the SFL analysis. |
Keywords | CPACS; pronoun; analysis; collaborative learning; nlp; computational linguistics; cscl |
ANZSRC Field of Research 2020 | 460208. Natural language processing |
461301. Coding, information theory and compression | |
390409. Learning sciences | |
Public Notes | © ISLS. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. |
Byline Affiliations | University of Sydney |
Australian Catholic University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q241y/using-automated-and-fine-grained-analysis-of-pronoun-use-as-indicators-of-progress-in-an-online-collaborative-project
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