A new direction for log file analysis in CSCL: experiences with a spatio-temporal metric

This paper discusses the importance and difficulties of assessing interaction between students. To ease the detection of interaction in student groups, a metric is developed that can measure the level of interaction based on log file data. The metric is based on a spatial model and detects actions that take place in close spatial or temporal proximity. After providing a formal definition of the metric, an exploratory analysis of interaction in two different settings is reported to determine the feasibility of the measure: synchronous interaction in a collaborative puzzle game and asynchronous interaction in student groups that use the BSCW shared workspace system.

[1]  N. Entwistle,et al.  Approaches to learning, evaluations of teaching, and preferences for contrasting academic environments , 1990 .

[2]  D. Perkins,et al.  Partners in Cognition: Extending Human Intelligence with Intelligent Technologies , 1991 .

[3]  Linda Harasim,et al.  Collaborating in Cyberspace: Using Computer Conferences as a Group Learning Environment , 1993, Interact. Learn. Environ..

[4]  Tom Rodden,et al.  Populating the application: a model of awareness for cooperative applications , 1996, CSCW '96.

[5]  Richard Bentley,et al.  Basic support for cooperative work on the World Wide Web , 1997, Int. J. Hum. Comput. Stud..

[6]  Starr Roxanne Hiltz,et al.  Impacts of Asynchronous Learning Networks on Individual and Group Problem Solving: A Field Experiment , 1999 .

[7]  Ben Pfaff,et al.  Supporting awareness among virtual teams in a web-based collaborative system: the teamSCOPE system , 2000, SIGG.

[8]  Carl Gutwin,et al.  A review of groupware evaluations , 2000, Proceedings IEEE 9th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 2000).

[9]  Marti A. Hearst,et al.  The state of the art in automating usability evaluation of user interfaces , 2001, CSUR.

[10]  Till Schümmer Enabling Technologies for Communities at Web Shops , 2002, DCW.

[11]  John C. Tang,et al.  Work rhythms: analyzing visualizations of awareness histories of distributed groups , 2002, CSCW '02.

[12]  Jim Hewitt How Habitual Online Practices Affect the Development of Asynchronous Discussion Threads , 2003 .

[13]  Paul A. Kirschner,et al.  Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research , 2003, Comput. Hum. Behav..

[14]  L. Lipponen,et al.  Patterns of participation and discourse in elementary students’ computer-supported collaborative learning , 2003 .

[15]  Till Schümmer GAMA: A Pattern Language for Computer Supported Dynamic Collaboration , 2003, EuroPLoP.

[16]  Martin Wattenberg,et al.  Studying cooperation and conflict between authors with history flow visualizations , 2004, CHI.

[17]  Rocky Ross,et al.  Mental models , 2004, SIGA.

[18]  Pierre Dillenbourg,et al.  What we know about CSCL and implementing it in higher education , 2004 .

[19]  Maarten de Laat,et al.  CSCL-Ware in practice: goals, tasks, and constraints , 2004 .

[20]  Jan-Willem Strijbos,et al.  Content analysis: What are they talking about? , 2006, Comput. Educ..