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International Conference on Intelligent Tutoring Systems

ITS 2002: Intelligent Tutoring Systems pp 239–248Cite as

Dynamic Profiling in a Real-Time Collaborative Learning Environment

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2363))

Abstract

Educo is system for collaborative web-based learning. Collaboration is enabled by real-time social navigation and support for social interaction via synchronous and asynchronous discussions. However, the system and the use of the system in collaborative learning could benefit from dynamic profiling as well as active recommendations for the students working in the learning environment. The paper describes the system and discusses the generation of profiles and recommendations.

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References

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Helsinki, P.O. Box 26, FIN-00014, Finland

    Jaakko Kurhila

  2. Complex Systems Computation Group, Helsinki Institute for Information Technology, Finland

    Miikka Miettinen, Petri Nokelainen & Henry Tirri

Authors
  1. Jaakko Kurhila
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  2. Miikka Miettinen
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  3. Petri Nokelainen
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  4. Henry Tirri
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Editor information

Editors and Affiliations

  1. LIRMM, University of Montpellier II and CNRS, Montpellier, France

    Stefano A. Cerri

  2. LIUPPA, IUT de Bayonne - University of Pau, Bayonne, France

    Guy Gouardères

  3. Department of Information Technologies, Universidade Federal de Alagoas, Maceió, Brazil

    Fàbio Paraguaçu

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kurhila, J., Miettinen, M., Nokelainen, P., Tirri, H. (2002). Dynamic Profiling in a Real-Time Collaborative Learning Environment. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_28

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  • DOI: https://doi.org/10.1007/3-540-47987-2_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

  • eBook Packages: Springer Book Archive

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