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Epiphyte advisor systems for collaborative learning

  • Sylvain Giroux
  • Gilbert Paquette
  • Jean Girard
Learning Environments: Modelling and Design
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1108)

Abstract

Today's information technologies support interactions at distance. Taking advantage of them, Télé-université has integrated collaborative learning activities into the learning set-up it proposes to learners. A typical learning environment provides learners with many information systems that help them to perform their tasks, to communicate with other people, and to manage their on-going learning processes. But collaborative learners still need resources capable to start again a stalled learning process. Furthermore group work within a class has to be managed: how many groups exists, who are the members of these groups, what is the state of the collaborative process... These models must follow closely the evolution of the groups. Such ever up-to-date models are very useful to help human and artificial tutors to balance the work load, to adjust their advising strategies, and to direct learners towards appropriate resources. In this paper, we address these issues related to collaborative learning by means of epiphyte advisor information systems. As the term epiphyte suggests, the advisor information systems are grafted onto existing arbitrary information systems. We show how to build distributed advisors; how they can take advantage of uptodate models to manage groups, and how they can use models of groups to produce advice for a collaborative learning process. These advisors rely on agents, organizations and hierarchical knowledge graphs. Hierarchical knowldege graphs help to design and structure descriptions of an advisor. At run-time, agents provide autonomy to the advisor's components, and organizations link and co-ordinate agents.

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References

  1. [1]
    Gasser, L., Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, Artificial Intelligence, 1991, vol. 47, no 1–3, pp. 107–138.Google Scholar
  2. [2]
    Giroux, S., Open Reflective Agents,in Intelligent Agents Volume II, M. Wooldridge, J.-P. Müller and M. Tambe, eds, Springer-Verlag, LNAI, 1996.Google Scholar
  3. [3]
    Giroux, S., A. Senteni and G. Lapalme, Adaptation in Open Systems, ICICIS, IEEE Computer Society Press, May 11–14, 1993, Rotterdam, Netherlands, pp. 114–123.Google Scholar
  4. [4]
    Giroux, S., F. Pachet and G. Paquette, Des systèmes d'information multi-agents épiphytes, Journées Francophones IAD et SMA, Voiron,France,May 9–11, 1994.Google Scholar
  5. [5]
    Giroux, S., F. Pachet and J. Desbiens, Debugging Multi-Agent Systems: a Distributed Approach to Events Collection and Analysis, Canadian Workshop on Distributed Artificial Intelligence, Banff, Canada, May 16,94.Google Scholar
  6. [6]
    Giroux, S., F. Pachet, G. Paquette and J. Girard, Des systèmes conseillers épiphytes, Revue d'intelligence artificielle, Afcet/Hermès, vol. 9, no 2, 1995, pp. 165–190.Google Scholar
  7. [7]
    Henri, F. Computer Conferencing and Content Analysis. In Kaye, A. (ed.) Collaborative Learning and Computer Conferencing. Pays-Bas, Springer-VerlagGoogle Scholar
  8. [8]
    Henri, F., Rigault, C. Collaborative Learning and Computer Conferencing. In Liao, T.T. (ed.) Advanced Educational Technology: Research Issues and Future Potential, Springer-Verlag, Berlin, 1994.Google Scholar
  9. [9]
    Leman, S., S. Giroux and P. Marcenac, A Generic Distributed Method for Cognitive Modelling, AI '94, 7th Australian Joint Conference on Artificial Intelligence, Nov. 94.Google Scholar
  10. [10]
    S. Leman, S. Giroux and P. Marcenac, A Multi-Agent Approach to ModellingStudent Reasoning Process, AI-ED 95, Aug. 16–19, 1995, Washington DC, USA, pp. 258–265.Google Scholar
  11. [11]
    Mertz, J.S. Jr, Using a simulated student for instructional design, AI-ED 95, August 16–19, 1995, Washington, USA, pp. 453–460.Google Scholar
  12. [12]
    Pachet, F. and S. Giroux, Building plan recognition systems on arbitrary applications: the spying technique, IJCAI-95 Workshop on The Next Generation of Plan Recognition Systems, August 20, 1995, Montréal, Canada.Google Scholar
  13. [13]
    Pachet, F., S. Giroux and G. Paquette, Pluggable Advisors as Epiphyte Systems, CALISCE '94. August 31, September 1–2, 1994, Paris, France, pp. 167–174.Google Scholar
  14. [14]
    F. Pachet, F. Wolinski and S. Giroux, Spying as an object-oriented programming paradigm, TOOLS Europe '95, Versailles, France, March 6–9, 1995, Prentice-Hall.Google Scholar
  15. [15]
    Pachet, F., J.-Y. Djamen, and C. Frasson, Production de conseils pertinents exploitant les relations de composition et de precedence dans un graphe de taches. Report DIRO #953, Université de Montréal, February 95.Google Scholar
  16. [16]
    Paquette, G., La modélisation par objets typés, Sciences et techniques éducatives, Hermès, to be published.Google Scholar
  17. [17]
    Paquette, G., F. Pachet and S. Giroux, ÉpiTalk, un outil générique pour la construction de systèmes conseillers, Sciences et Techniques Educatives, Hermès, vol. 1, no 3, 1994.Google Scholar
  18. [18]
    Paquette, G., et al., Design of a Knowledge-based Didactic and Generic Workbench, CALISCE'94, August 31, September 1–2 1994, Paris, France, pp. 303–311.Google Scholar
  19. [19]
    Paquette, G., F. Pachet, S. Giroux and J. Girard, EpiTalk, generating advisor agents for existing information systems, to appear in Journal of Artificial Intelligence in Education, Artificial Intelligence in Education Society, AACE, Charlottesville, USA.Google Scholar
  20. [20]
    G. Paquette, et al. Modeling a Virtual Campus Environment for Interactive Distance Learning, ED-Media, Graatz, Austria, June 95.Google Scholar
  21. [21]
    Ritter, S. and K. R. Koedinger, Towards lightweight tutoring agents, AI-ED 95, August 16–19, 1995, Washington DC, USA, pp. 91–98.Google Scholar
  22. [22]
    Smith, R.G., The Contract Net Protocol: High-Level Communication and Control in a Disptributed Problem Solver, IEEE Trans. on Computers, 1980, v.29, no12, 1104–13.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Sylvain Giroux
    • 1
  • Gilbert Paquette
    • 1
  • Jean Girard
    • 1
  1. 1.Centre de recherches LICEFTélé-UniversitéMontréalCanada

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