Towards productive multivocality in the analysis of collaborative learning

Daniel SUTHERS, Kristine LUND, Carolyn ROSE, Gregory DYKE, Nancy LAW, Chris TEPLOVS, Wenli CHEN, Ming Ming CHIU, Heisawn JEONG, Chee Kit LOOI, Richard MEDINA, Jun OSHIMA, Keith SAWYER, Hajime SHIROUZU, Jan Willem STRIJBOS, Stefan TRAUSAN-MATU, Jan C.W. van AALST

Research output: Contribution to conference › Paper

Abstract

Research in Computer Supported Collaborative Learning (CSCL) is diverse and multi-vocal, in that multiple theoretical and methodological traditions speak to questions concerning how learning takes place in social settings. Whether this multivocality leads to balkanization or is a source of strength may require deliberate efforts at identifying strategies and finding boundary objects for productive discourse across this diversity. This paper and associated symposium reports on the results of such an effort-a four-year series of five workshops exploring the basis for productive dialogue between multiple analytic traditions in CSCL. After a brief introduction to our objectives and the series of workshops, we illustrate lessons learned with three examples in which a group of analysts deliberately chosen for their diversity analyzed three small corpora with respect to identifying "pivotal moments" in collaborative learning and compared their results. The project also illustrates more generally the potential value of collaborative learning among researchers.
Original languageEnglish
Publication statusPublished - Jul 2011

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learning
dialogue
discourse
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Citation

Suthers, D., Lund, K., Rose, C., Dyke, G., Law, N., Teplovs, C., et al. (2011, July). Towards productive multivocality in the analysis of collaborative learning. Paper presented at the ninth international CSCL conference, The University of Hong Kong, Hong Kong, China.