Abstract
Interdisciplinarity in the Computer Supported Collaborative Learning (CSCL) research field involves the application of several methodological approaches towards analysis that range from deep-level qualitative analyses of small interaction-rich episodes of collaboration, to quantitative measures of suitably categorized events of interaction used as indicators of the success of collaboration in some of its facets. This article adopts an alternative approach to CSCL analysis that aims at taking advantage of some desired properties of each of these diverse methodological trends, involving the use of a rating scheme for the assessment of collaboration quality. After defining a set of dimensions that cover the most important aspects of collaboration, it employs appropriately trained human raters basing their assessments on substantial aspects of collaboration that are not easily formalisable. The activities studied here regard 228 collaborating dyads, working synchronously on a problem-solving task. Based on this large dataset, relations between dimensions of collaboration quality are unraveled on empirical grounds, by elaborating ratings statistically using a multidimensional scaling technique.
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Avouris, N., Margaritis, M., Komis, V.: Modelling interaction during small-group synchronous problem-solving activities: The Synergo approach. In: 2nd Int. Workshop on Designing Computational Models of Collaborative Learning Interaction, ITS 2004, Maceio, Brasil (September 2004)
Bohl, M.: Flowcharting Techniques. Science Research Associates, Chicago (1971)
Borg, I., Lingoes, J.: Multidimensional Similarity Structure Analysis. Springer, Beverley Hills (1987)
Borg, I., Groenen, P.: Modern Multidimensional Scaling. Springer, Berlin (1997)
Cicchetti, D.V., Sparrow, S.S.: Developing criteria for establishing the interrater reliability of specific items in a given inventory. American Journal of Mental Deficiency 86, 127–137 (1981)
Clark, H., Brennan, S.: Grounding in communication. In: Resnick, L.B., Levine, J., Teasley, S. (eds.) Perspectives on Socially Shared Cognition, pp. 127–149. APA Press, Washington, DC (1991)
Clark, H.: Using language. Cambrigde University Press, Cambridge (1996)
Cox, T.F., Cox, M.A.A.: Multidimensional Scaling. Chapman and Hall, London (2001)
Davison, M.L.: Multidimensional Scaling. John Wiley and Sons, New York (1983)
De Leeuw, J.: Applications of convex analysis to multidimensional scaling. In: Barra, J., Brodeau, F., Romier, G., van Cutsem, B. (eds.) Recent Developments in Statistics, pp. 133–145. North Holland Publishing Company, Amsterdam (1977)
De Leeuw, J., Heiser, W.J.: Theory of multidimensional scaling. In: Krishnaiah, P.R., Kanal, L.N. (eds.) Handbook of Statistics, vol. 2, pp. 285–316. North-Holland, Amsterdam (1982)
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, pp. 189–211. Springer, Berlin (1995)
Fischer, F., Mandl, H.: Being there or being where? Videoconferencing and cooperative learning. In: van Oostendorp, H. (ed.) Cognition in a Digital World, pp. 205–223. Lawrence Erlbaum Associates, Mahwah (2003)
Fleiss, J.L.: Statistical Methods for Rates and Proportions, 2nd edn. Wiley, New York (1981)
George, D., Mallery, P.: SPSS for Windows Step by Step: A Simple Guide and Reference. 11.0 Update. Allyn & Bacon, Boston (2003)
Guttman, L.A.: A general non-metric technique for finding the smallest coordinate space for a configuration of points. Psychometrika 33, 495–506 (1968)
Kahrimanis, G., Meier, A., Chounta, I.-A., Voyiatzaki, E., Spada, H., Rummel, N., Avouris, N.: 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.) EC-TEL 2009. LNCS, vol. 5794, pp. 267–272. Springer, Heidelberg (2009)
Kahrimanis G., Avouris, A., Komis, V.: Interaction analysis as a tool for supporting collaboration. An overview. In: Daradoumis, T., Caballe, S., Juan, A.A., Xhafa, F. (eds.) Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding (in press)
Kerlinger, F.N., Lee, H.B.: Foundations of behavioral research. Harcourt College Publishers, New York (2000)
Kruskal, J.B.: Multidimensional scaling by optimizing goodness-of-fit to a non-metric hypothesis. Psychometrica 29, 1–27 (1964)
Kruskal, J.B., Wish, M.: Multidimensional Scaling. Sage Publications, London (1978)
Laughlin, P.R.: Social combination processes of cooperative, problem-solving groups on verbal intellective tasks. In: Fishbein, M. (ed.) Progress in Social Psychology, vol. 1, pp. 127–155. Lawrence Erlbaum, Hillsdale (1980)
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, 63–86 (2007)
Meier, A., Voyiatzaki, 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. In: Rummel, N., Weinberger, A. (eds.) New Challenges in CSCL: Towards Adaptive Script Support, Worshop in Proceedings of the Eighth International Conference of the Learning Sciences (ICLS 2008), Utrecht, vol. 3, pp. 338–345. International Society of the Learning Sciences (June 2008)
Roschelle, J.: Learning by collaboration: Convergent conceptual change. Journal of the Learning Sciences 2, 235–276 (1992)
Scardamalia, M., Bereiter, C.: Computer support for knowledge-building communities. In: Koschmann, T. (ed.) CSCL: Theory and Practice of an Emerging Paradigm, pp. 249–268. Lawrence Erlbaum Associates, Hillsdale (1996)
Samurcay, R.: The concept of variable in programming: Its meaning and use in problem solving by novice programmers. In: Soloway, E., Spohrer, J.C. (eds.) Studying the Novice Programmer, pp. 161–178. Lawrence Erlbaum, Hillsdale (1989)
Schiffman, S.S., Reynolds, M.L., Young, F.W.: Introduction to Multidimensional Scaling - Theory, Methods, and Applications. Academic Press, New York (1981)
Shepard, R.N.: Analysis of proximities: Multidimensional scaling with an unknown distance function I & II. Psychometrika 27, 125–140 & 219–246 (1962)
Soloway, E., Bonar, J., Ehrlich, K.: Cognitive strategies and looping constructs. In: Soloway, E., Spohrer, J.C. (eds.) Studying the Novice Programmer, pp. 191–207. Lawrence Erlbaum, Hillsdale (1989)
Stahl, G.: Sustaining group cognition in a math chat environment. Research and Practice in Technology Enhanced Learning (RPTEL) 1(2), 85–113 (2006)
Stahl, G., Koschmann, T., Suthers, D.: Computer-supported collaborative learning: An historical perspective. In: Sawyer, R.K. (ed.) Cambridge Handbook of the Learning Sciences, pp. 409–426. Cambridge University Press, Cambridge (2006)
Steyvers, M.: Multidimensional Scaling. In: Encyclopedia of Cognitive Science. Macmillan, London (2002)
Strijbos, J.W., Martens, R.L., Prins, F.J., Jochems, W.M.G.: Content analysis: What are they talking about? Computers and Education 46(1), 29–48 (2006)
Tindale, R.S., Kameda, T., Hinsz, V.B.: Group decision making. In: Hogg, M.A., Cooper, J. (eds.) Sage Handbook of Social Psychology, pp. 381–403. Sage, London (2003)
Wegner, D.M.: Transactive memory: A contemporary analysis of the group mind. In: Mullen, B., Goethals, G.R. (eds.) Theories of Group Behaviour, pp. 185–208. Springer, New York (1987)
Wirtz, M., Caspar, F.: Beurteilerübereinstimmung und Beurteilerreliabilität. Verlag für Psychologie, Göttingen (2002)
XLSTAT, Addinsoft (2009), http://www.xlstat.com
Young, F.W., Hamer, R.M.: Theory and applications of multidimensional scaling. Erlbaum, Hillsdale (1994)
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Kahrimanis, G., Chounta, IA., Avouris, N. (2012). Validating Empirically a Rating Approach for Quantifying the Quality of Collaboration. In: Daradoumis, T., Demetriadis, S., Xhafa, F. (eds) Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Studies in Computational Intelligence, vol 408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28586-8_13
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