Abstract
The work described is part of an ongoing interdisciplinary collaboration between two research teams of the University of Patras, Greece and the University of Freiburg, Germany, which aims at the exchange of analysis tools and data sets in order to broaden the scope of analysis methods and tools available for Computer-Supported Collaborative Learning (CSCL) support. This article describes the adaptation, generalization and application of a rating scheme which had been developed by the Freiburg team for assessing collaboration quality on several dimensions [1]. The scheme was successfully adapted to suit data gathered by the Patras team in a different CSCL scenario. Collaboration quality is assessed by quantitative ratings of seven qualitatively defined rating dimensions. An empirical evaluation based on a dataset of 101 collaborative sessions showed high inter-rater agreement for all dimensions.
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References
Meier, A., Spada, H., Rummel, N.: A rating scheme for assessing the quality of computer-supported collaboration processes. International Journal of Computer-Supported Collaborative Learning 2(1), 63–86 (2007)
De Wever, B., Schellens, T., Valcke, M., Van Keer, H.: Content analysis schemes to analyze transcripts of online asynchronous discussion groups: a review. Computers & Education 46, 6–28 (2006)
Dillenbourg, P., Baker, M., Blaye, A., O’Malley, C.: The evolution of research on collaborative learning. In: Reimann, P., Spada, H. (eds.) Learning in humans and machines: Towards an interdisciplinary learning science, pp. 189–211. Elsevier/Pergamon, Oxford (1995)
Weinberger, A., Fischer, F.: A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education 46, 71–95 (2006)
Suthers, D., Law, N., Rose, C., Dwyer, N.: A common framework for CSCL interaction analysis. Pre-conference workshop at the 2008 ICLS conference, Utrecht, The Netherlands (2008)
Rummel, N., Spada, H.: Learning to collaborate: An instructional approach to promoting problem-solving in computer-mediated settings. The Journal of the Learning Sciences 14(2), 201–241 (2005)
Avouris, N., Margaritis, M., Komis, V.: Modelling interaction during small-group synchronous problem solving activities: the Synergo approach. In: Proceedings of 2nd International Workshop on Designing Computational Models of Collaborative Learning Interaction, ITS 2004, 7th Conference on Intelligent Tutoring Systems, Maceio, Brasil, pp. 13–18 (2004)
Clark, H.H., Brennan, S.E.: Grounding in communication. In: Resnick, L.B., Levine, J.M., Teasley, S.D. (eds.) Perspectives on socially shared cognition, pp. 127–148. American Psychological Association, Washington (1991)
Meier, A., Voyatzaki, E., Kahrimanis, G., Rummel, N., Spada, H., Avouris, N.: Teaching students how to improve their collaboration: Assessing collaboration quality and providing adaptive feedback in a CSCL setting. Submitted as part of the symposium New Challenges in CSCL: Towards adaptive script support (Nikol Rummel and Armin Weinberger), ICLS 2008, Utrecht (June 2008)
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Kahrimanis, G. et al. (2009). Assessing Collaboration Quality in Synchronous CSCL Problem-Solving Activities: Adaptation and Empirical Evaluation of a Rating Scheme. In: Cress, U., Dimitrova, V., Specht, M. (eds) Learning in the Synergy of Multiple Disciplines. EC-TEL 2009. Lecture Notes in Computer Science, vol 5794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04636-0_25
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DOI: https://doi.org/10.1007/978-3-642-04636-0_25
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