Teamworking Practices using Datamining Technics

Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behaviour of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group’s operation and provide feedback if these are more likely to be associated with positive or negative outcomes and where the problems are. We explore how useful mirror information can be extracted via a theory-driven approach and a range of clustering and sequential pattern mining. The context is a senior software development project where students use the collaboration tool TRAC.

Context:Research done at the Computer Human Adapted Interaction, University of Sydney (http://chai.it.usyd.edu.au/) as research assistant. 2005-2006

I have discovered that 2 publications[4][5] involving the system Trac (a famous software project development system [2]) was referenced in the Trac’s “about” wiki page[3]. It’s always surprising and pleasant when you see that your work is reused or really useful. (the last time was where I learned that an old basic search engine component I made for an Apache open source project was reused in another one).

Publications

  • J. Kay, N. Maisonneuve, K. Yacef, and P. Reimann (2006). The big five and visualisations of team work activity. In Intelligent Tutoring Systems: Proceedings 8th International Conference, ITS 2006, pages 197-206. Springer, 2 
  • J. Kay, N. Maisonneuve, K. Yacef, and O. Zaiane(2006). Mining patterns of events in students’ teamwork data. In Online Proceedings of the ITS (Intelligent Tutoring Systems) 2006 Workshop on Educational Data Mining, pages 45-52, Jhongli, Taiwan, 2006. 
  • J. Kay, N. Maisonneuve, K. Yacef, and P. Reimann. Wattle tree: What’ll it tell us? Technical Report 582, School of IT, The University of Sydney, January 2006.
  • C. Collins, P. Goodyear, J. Kay, N. Maisonneuve, P. Reimann, M. Weinel, and K. Yacef. (2005) Adaptive visualisation support for self-managed learning groups, College of science and technology teaching and learning showcase, groupwork poster.

More information
http://chai.it.usyd.edu.au/Projects/Wattle

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