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|Title:||Supporting CSCL with Automatic Corpus Analysis Technology|
|Publisher:||International Society of the Learning Sciences (ISLS)|
|Citation:||Dönmez, P., Rosé, C., Stegmann, K., Weinberger, A., & Fischer, F. (2005). Supporting CSCL with Automatic Corpus Analysis Technology. In Koschmann, T., Suthers, D. D., & Chan, T. (Eds.), Proceedings of the International Conference on Computer Supported Collaborative Learning 2005 (pp. 125-134). Taipei, Taiwan: International Society of the Learning Sciences.|
|Abstract:||Process analyses are becoming more and more standard in research on computer-supported collaborative learning. This paper presents the rational as well as results of an evaluation of a tool called TagHelper, designed for streamlining the process of multi-dimensional analysis of the collaborative learning process. In comparison with a hand-coded corpus coded with a 7 dimensional coding scheme, TagHelper is able to achieve an acceptable level of agreement (Cohen's Kappa of .7 or more) along 6 out of 7 of the dimensions when we commit only to the portion of the corpus where the predictor has the highest certainty. In 5 of those cases, the percentage of the corpus where the predictor is confident enough to commit a code is at least 88% of the corpus. Consequences for theory-building with respect to automatic corpus analysis are formulated. Potential applications as a support tool for process analyses, as real-time support for facilitators of on-line discussions, and for the development of more adaptive instructional support for computer-supported collaboration are discussed.|
|Appears in Collections:||CSCL 2005|
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