Title
Towards productive multivocality in the analysis of collaborative learning
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.
Year
DOI
Venue
2010
null
Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL 2011 Conf. Proc. - Community Events Proceedings, 9th International Computer-Supported Collaborative Learning Conf.
Keywords
DocType
Volume
scientific progress,methodological tradition,shared datasets,multiple analysis,mutual interest,productive discourse,collaborative learning,stimulus material,productive multivocality
Conference
null
Issue
ISSN
Citations 
null
null
4
PageRank 
References 
Authors
0.61
7
8
Name
Order
Citations
PageRank
Daniel D. Suthers1920126.11
Kristine Lund223837.10
Chris Teplovs35411.48
Wenli Chen443038.53
Chee-Kit Looi51639255.32
Richard Medina615410.78
Hajime Shirouzu7357.32
Stefan Trausan-Matu833071.40