Connecting levels and methods of analysis in networked learning communities

This paper describes the rationale behind a workshop on using data-intensive computational methods of analysis for empirical-analytical studies of collaborative and networked learning, with a particular focus on how learning takes place in the technically-mediated interplay between individual, small group and collective levels of agency. This workshop is primarily designed for researchers interested in empirical-analytical studies using data-intensive computational methods of analysis (including social-network analysis, log-file analysis, data mining, video analysis).

[1]  Daniel D. Suthers,et al.  A unified framework for multi-level analysis of distributed learning , 2011, LAK.

[2]  Manuel Castells,et al.  The Internet Galaxy: Reflections on the Internet, Business, and Society , 2001 .

[3]  Heinz Ulrich Hoppe,et al.  Combining social network analysis with semantic relations to support the evolution of a scientific community , 2007, CSCL.

[4]  Hans Spada,et al.  Barriers and Biases in Computer-Mediated Knowledge Communication , 2005 .

[5]  Alejandra Martínez-Monés,et al.  Studying participation networks in collaboration using mixed methods , 2006, Int. J. Comput. Support. Collab. Learn..

[6]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[7]  Mark S. Granovetter.  The Strength of Weak Ties , 1973, American Journal of Sociology.

[8]  Susanne P. Lajoie,et al.  Constructing a Joint Problem Space: The Computer as a Tool for Sharing Knowledge , 2013 .

[9]  Gerry Stahl,et al.  Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology) , 2006 .

[10]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[11]  José-Manuel Serrano,et al.  Introduction. Cooperative Learning , 2014 .

[12]  B. Latour.  Reassembling the Social: An Introduction to Actor-Network-Theory , 2005 .

[13]  P. Dillenbourg,et al.  The evolution of research on collaborative learning , 1996 .

[14]  E. Wenger.  Communities of practice: Learning , 1998 .

[15]  Dan Suthers,et al.  Transcendent communities , 2007, CSCL.

[16]  Timothy Koschmann,et al.  How Do People Learn , 2005 .

[17]  I. E. Allen,et al.  Growing by Degrees: Online Education in the United States, 2005. , 2005 .

[18]  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..

[19]  Daniel D. Suthers,et al.  A framework for conceptualizing, representing, and analyzing distributed interaction , 2010, Int. J. Comput. Support. Collab. Learn..

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

[21]  Berner Lindström,et al.  A relational, indirect, meso-level approach to CSCL design in the next decade , 2006, Int. J. Comput. Support. Collab. Learn..