The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Interacting with computer-based simulation: the role of dialogue
Computers & Education
ICLS '04 Proceedings of the 6th international conference on Learning sciences
A method for evaluating computer-supported collaborative learning processes
International Journal of Computer Applications in Technology
Extending the Engagement Taxonomy: Software Visualization and Collaborative Learning
ACM Transactions on Computing Education (TOCE)
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
CSCL interaction analysis for assessing knowledge building outcomes: method and tool
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
An approach to assess the quality of collaboration in technology-mediated design situations
European Conference on Cognitive Ergonomics: Designing beyond the Product --- Understanding Activity and User Experience in Ubiquitous Environments
As if being there: mediated reality for crime scene investigation
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Computers in Human Behavior
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In CSCL research, the collaborative process - the way people collaborate while working on tasks and learning -- is of central importance. Instructional measures are being developed to improve the quality of the collaboration which itself determines to a great extent the results of working and learning in groups. However, assessing collaborative process is not easy. We have developed a new assessment method by quantitatively rating nine qualitatively defined characteristic dimensions of collaboration. In this paper, we first describe how these dimensions were extracted from video-recordings of dyads collaborating to solve interdisciplinary tasks. Then we explain how the resulting rating system was applied to and tested on another sample. Based on positive findings from this application, we argue that the new method can be recommended for different areas of CSCL research.