Skip to main content

Integration of Automatic Tools for Displaying Interaction Data in Computer Environments for Distance Learning

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 2002)

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

Included in the following conference series:

  • 952 Accesses

Abstract

Our research concerns distance learning (DL). We are interested with distributed collaborative learning. In this approach, it is important to have indicators permitting the appreciation of durability and the evolution of groups involved. We think that actors responsible for the organisation and the working of groups (tutor for each group and coordinator of the DL session for all groups and its progress in general) can from the types of interactions and their amounts, get revealing elements permitting them to appreciate the state of a group and its evolution. From the analysis of interactions seen during a distance learning experimentation that we led, we show here that the disappearance of a group as we observed could be discerned practically in real time. It justifies for us, the necessity to set up in distance learning environments, agents capable of assisting the coordinator of the training and the tutors in their tasks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Baker, M.,. “The roles of models in Artificial Intelligence and Education research: a prospective view”. International Journal of Artificial Intelligence in Education, 11. (2000) 122–143

    Google Scholar 

  2. Bradshaw, J. M. “An Introduction to Software Agents”. In Software Agents. Ed. J.M. Bradshaw. Menlo Park, Calif.: AAAI Press (1997)

    Google Scholar 

  3. Chanier, T. “Créer des communautés d’apprentissage à distance”. Les dossiers de l’Ingénierie Educative, no 36 sur “Les communautés en ligne”, octobre. Centre National de Documentation Pédagogique(CNDP): Montrouge (2001) 56–59.

    Google Scholar 

  4. Charlier, B., Daele, A., Cheffert, J-L., Peeters, R., Lusalusa, S. “Learning collaboratively in a virtual campus: teachers’ experiences”. ISATT 99. Dublin (1999)

    Google Scholar 

  5. Deloach, S., A. “Analysis and Design using MaSE and agentTool”. The 12 th Midwest Artificial Intelligence and Cognitive Science Conference (2001)

    Google Scholar 

  6. Deloach, S. A., Wood, M. F., Sparkman, C. H. “Multiagent Systems Engineering”. International Journal on Software Engineering and Knowledge Engineering. World Scientific Publishers. Vol. 11 n∘ 3 (2001) 231–258.

    Article  Google Scholar 

  7. Dillenbourg, P. “What Do You Mean By “Collaborative Learning””. In P. Dillenbourg (Ed.) Collaborative Learning: Cognitive and Computationnal Approaches. Amsterdam: Pergamon/Elsevier Science (1999) 1–19.

    Google Scholar 

  8. Dillenbourg, P., Baker, M., Blaye, A., O’Malley, C. “The evolution of research on collaborative learning”. In E. Spada & P. Reiman (Eds) Learning in Humans and Machine: Towards an interdisciplinary learning science. Oxford. Elsevier (1996) 189–211

    Google Scholar 

  9. Engelström, Y. Learning by expanding. An activity-theoretical approach to developmental research. Orienta-Konsultit Oy, Helsinki (1987)

    Google Scholar 

  10. Ferber, J., Les systèmes multi-agents: vers une intelligence collective. Intereditions (1997)

    Google Scholar 

  11. Fjük, A. Computer Support for Distributed Collaborative Learning. Exploring a Complex Problem Area. Dr. Scient. Thesis5. Department of Informatics. University of Oslo (1998)

    Google Scholar 

  12. Fjük, A., Nurminen, M. I., Smordal, O. “Taking Articulation Work Seriously — an Activity Theoretical Approach”. TUCS Technical Report N∘ 120. 16 p. (1997)

    Google Scholar 

  13. Haythornthwaite, C. “Networks of Information Sharing among Computer-Supported Distance Learners”. Proceedings of the Third International Conference on Computer-Supported Collaborative Learning (1999) 218–222.

    Google Scholar 

  14. Jermann, P., Soller, A., Muehlenbrock, M. “From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning”. Proceedings of the First European Conference on Computer-Supported Collaborative Learning (2001)

    Google Scholar 

  15. Kusunoki, F., Sugimoto, M., Hashizume, H. “A System for Supporting Group Learning that Enhances Interactions”. Proceedings of the Third International Conference on Computer-Supported Collaborative Learning (1999) 323–327.

    Google Scholar 

  16. Maes, P. “Agents that Reduce Work and Information Overload”. In Software Agents, ed. J.M. Bradshaw. Menlo Park, Californie, AAAI Press (1997)

    Google Scholar 

  17. Nurmela, K., Lehtinen, E., Palonen, T. “Evaluating CSCL Log Files by Social Network Analysis”. Proceedings of the Third International Conference on Computer-Supported Collaborative Learning (1999) 434–442.

    Google Scholar 

  18. Reffay, C., Chanier, T. “Social Network Analysis used for modelling collaboration in distance learning groups” (2002) This volume.

    Google Scholar 

  19. Weiss, G., Dillenbourg, P. “What is ‘multi’ in multi-agent learning”. In P. Dillenbourg (Ed.) Collaborative Learning: Cognitive and Computationnal Approaches. Amsterdam: Pergamon/Elsevier Science (1999)

    Google Scholar 

  20. Wertsch, J.V.. “A socio-cultural approach to socially shared cognition”. In Resnick, L., Levine, J., Teasley, S. (Eds). Perspectives on Socially Shared Cognition. Hyattsville, MD: American Psychological Association (1991) 85–100

    Chapter  Google Scholar 

  21. Whatley, J., Staniford, G., Beer, M., Scown, P. “Intelligent Agents to Support Students Working in Group Online”. Journal of Interactive Learning Research. vol. 10, N∘ 3/4. AACE, Charlottesville (1999)

    Google Scholar 

  22. Wood, M. F., Deloach, S. A. “An overview of the Multiagents Systems Engineering Methodology”. Proceedings of the First International Workshop on Agent-Oriented Software Engineering. Ciancarini P., Wooldridge, M. (Eds). Lectures Notes in Computer Science, Vol. 1957. Springer Verlag. Berlin (2000)

    Google Scholar 

  23. Wooldridge, M. “Intelligent Agents”. In G. Weiss (Ed). Multiagent Systems, The MIT Press. (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mbala, A., Reffay, C., Chanier, T. (2002). Integration of Automatic Tools for Displaying Interaction Data in Computer Environments for Distance Learning. 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_84

Download citation

  • DOI: https://doi.org/10.1007/3-540-47987-2_84

  • 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

Publish with us

Policies and ethics