Productive re-use of CSCL data and analytic tools to provide a new perspective on group cohesion

The goals of this paper are twofold: (1) to demons trate how previously published data can be re-analyzed to gain a new perspective o n CSCL dynamics and (2) to propose a new measure of social cohesion that was developed t hrough improvements to existing analytic tools. In this study, we downloaded the Simuligne c orpus from the publicly available Mulce repository. We improved the Knowledge Space Visuali zer (KSV) to deepen the notion of cohesion by using a dynamic representation of socio grams. The Calico tools have been used and extended to complete this cohesion measure by a nalyzing lexical markers. These complementary analyses of cohesion, based on clique sizes and communication intensity on the one hand, and lexical markers on the other hand , offer more detailed information on (a) the relationships between participants and (b) the stru ctu e and intensity of communication. In particular, the analyses highlight strong convergen ces that were not visible in the previous analysis.

[1]  Ronghuai Huang,et al.  A systemic model of interaction analysis in CSCL , 2007 .

[2]  Alejandra Martínez-Monés,et al.  Towards an XML-Based Representation of Collaborative Action , 2003, CSCL.

[3]  Simeon Yates,et al.  Oral and written linguistic aspects of computer conferencing : A corpus based study , 1996 .

[4]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[5]  Erno Lehtinen,et al.  Evaluating CSCL log files by social network analysis , 1999, CSCL.

[6]  Thierry Chanier,et al.  How Social Network Analysis can help to Measure Cohesion in Collaborative Distance-Learning , 2003, CSCL.

[7]  Yonggu Wang,et al.  An Application of Social Network Analysis in Evaluation of CSCL , 2006, ICCE.

[8]  Emmanuel Giguet,et al.  Share and explore discussion forum objects on the Calico website , 2009, CSCL.

[9]  Vic Lally,et al.  Investigating patterns of interaction in networked learning and computer-supported collaborative learning: A role for Social Network Analysis , 2007, Int. J. Comput. Support. Collab. Learn..

[10]  J. Pennebaker,et al.  Psychological aspects of natural language. use: our words, our selves. , 2003, Annual review of psychology.

[11]  Kenneth R. Koedinger,et al.  A Data Repository for the EDM Community: The PSLC DataShop , 2010 .

[12]  Nobuko Fujita,et al.  Software-based scaffolding: supporting the development of knowledge building discourse in online courses , 2010, ICLS.

[13]  B. Wellman Computer Networks As Social Networks , 2001, Science.

[14]  Yannis Dimitriadis,et al.  Using a Theoretical Framework for the Evaluation of Sequentiability, Reusability and Complexity of Development in CSCL Applications , 2001 .

[15]  Fay Sudweeks,et al.  Networked Interactivity , 1997, J. Comput. Mediat. Commun..

[16]  Alejandra Martínez-Monés,et al.  Combining qualitative evaluation and social network analysis for the study of classroom social interactions , 2003, Comput. Educ..

[17]  Heinz Ulrich Hoppe,et al.  One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration , 2006, Res. Pract. Technol. Enhanc. Learn..

[18]  Gary King,et al.  An Introduction to the Dataverse Network as an Infrastructure for Data Sharing , 2007 .