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.
|Title of host publication||CSCL 2013 conference proceedings|
|Subtitle of host publication||10th International Conference on Computer-Supported Collaborative Learning|
|Editors||Nikol Rummel, Manu Kapur, Mitchell Nathan, Sadhana Puntambekar|
|Publisher||International Society of the Learning Sciences (ISLS)|
|Number of pages||8|
|Publication status||Published - 2013|
|Event||International Conference on Computer-Supported Collaborative Learning (10th : 2013) - Madison, United States|
Duration: 15 Jun 2013 → 19 Jun 2013
|Conference||International Conference on Computer-Supported Collaborative Learning (10th : 2013)|
|Period||15/06/13 → 19/06/13|
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).