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A Team of Agents Cooperating for Intelligent Tutoring

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Multi-Agent Systems. Theories, Languages and Applications (DAI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1544))

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Abstract

This paper presents ho w the tutoring knowledge in an ITS, in particular in a domain involving problem-solving skills in addition to conventional domain theory, can be designed and organised as a team of cooperating intelligent agents. After a brief description of the domain knowledge and a generic functioning framework for ITSs in problem-solving domains, we introduce how the tutoring knowledge is modelled as pedagogical agents. We then show how these agents are designed to interact with one another and with the student, and discuss about techniques which may help an agent to decide to intervene in the process in order to fulfil a given pedagogical function, henceforth making pedagogical interactions smoother and hopefully more efficient. To illustrate our point of view, we then present and comment, in a particular application domain, a problem-solving exercise and a possible tutoring dialogue based on that exercise. Finally, referring to that example, we show a few techniques by which such a dialogue can be achieved. Such a cooperative-agent-oriented model should both facilitate the implementation of the tutoring knowledge in an ITS and help improve the student’s comprehension through more efficient pedagogical interactions.

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References

  1. Anderson, J.R., Boyle, C.F., Corbett, A.T., Lewis, M.W.: Cognitive modelling and intelligent tutoring. Artificial Intelligence 42, 7–49 (1990)

    Article  Google Scholar 

  2. Arcand, J.-F., Pelletier, S.-J.: Cognition-based multiagent architecture. In: [37], pp. 267–282 (1996)

    Google Scholar 

  3. Avron, B., Clancey, W.J.: Application-oriented AI research: Education. In: Barr, A., Feigenbaum, E. (eds.) The Handbook of Artificial Intelligence, ch. 9, vol. 2, pp. 223–294. HeurisTech Press, Stanford & William Kaufmann, Los Altos (1982)

    Google Scholar 

  4. Brodie Michael, L., Mylopoulos, J., Schmidt, J.W. (eds.): On Conceptual Modelling, Perspectives from Artificial Intelligence, Databases, and Programming Languages. Springer, New York (1984)

    MATH  Google Scholar 

  5. Seely, B.J., Burton, R.R.: Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science 2, 155–192 (1978)

    Article  Google Scholar 

  6. Seely, B.J., Burton, R.R., Bell, A.G.: SOPHIE: a sophistocated instructional environment for teaching electronic troubleshooring. BBN Report no. 2790, Bolt, Beranek and Newman Inc, Cambridge, MA (1974)

    Google Scholar 

  7. Carbonell Jaime, R.: AI in CAI: an artificial intelligence approach to computer-aided instruction. IEEE Transactions on Man–Machine Systems MMS-11(4), 190–202 (1970)

    Article  Google Scholar 

  8. Clancey William, J.: GUIDON. Journal of Computer-Based Instruction 10(1), 8–14 (1983)

    Google Scholar 

  9. Clocksin William, F., Mellish, C.S.: Programming in Prolog. Springer, Berlin (1981)

    Google Scholar 

  10. Diaz de Ilarraza Sanchez, A., Fernandez de Castro, I. (eds.): CALISCE 1996. LNCS, vol. 1108. Springer, Heidelberg (1996)

    MATH  Google Scholar 

  11. Englemore, R., Morgan, T. (eds.): Blackboard Systems. Addison-Wesley Publ., Reading (1988)

    Google Scholar 

  12. Erman, L., Hayes-Roth, F., Lesser, V., Reddy, D.: The Hearsay II speechunderstanding system: integrating knowledge to resolve uncertainty. ACM Computing Surveys 12(2), 213–253 (1980)

    Article  Google Scholar 

  13. Dexter, F.J.: Modeling of learner in computer-based instruction. Journal of Computer-Based Instruction 1, 118–126 (1975)

    Google Scholar 

  14. Claude, F., Gauthier, G., Lesgold, A.: Intelligent Tutoring Systems. In: Lesgold, A.M., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS, vol. 1086. Springer, Heidelberg (1996)

    Google Scholar 

  15. Denis, G., Trudel, A.: A highly flexible student-driven architecture for computer-based instruction. In: [14], pp. 66–74 (1996)

    Google Scholar 

  16. André, G.: Analyse économique pour ingénieurs, 2nd edn. Éditions AGA, Sainte-Foy (1997)

    Google Scholar 

  17. Gmytrasiewicz, P.: On reasoning about other agents. In: [37], pp. 143–155 (1996)

    Google Scholar 

  18. Goldstein Ira, P.: WUMPUS. In: Barr, A., Feigenbaum, E. (eds.) The Handbook of Artificial Intelligence, vol. 2, pp. 261–266. HeurisTech Press (Stanford), William Kaufmann (Los Altos) (1982)

    Google Scholar 

  19. Won, K., Lochovsky, F.H. (eds.): Object-Oriented Concepts, Databases, and Applications. ACM Press, Addison-Wesley Publ., Reading (1989)

    Google Scholar 

  20. Robert, K.: Logic for Problem Solving. North-Holland, Berlin (1979)

    MATH  Google Scholar 

  21. Ruddy, L.: The successive contributions of computers to education: a survey. European Journal of Engineering Education 23(3) (1998)

    Google Scholar 

  22. Ruddy, L., Morin, J.-F.: Use of abstraction and complexity levels in intelligent educational systems design. In: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI 1997), Nagoya, Japan, August 23–29, pp. 329–334 (1997)

    Google Scholar 

  23. Ruddy, L., Morin, J.-F.: Knowledge types and tutoring interactions in an ITS in a problem-solving domain. In: Proceedings of the 10th Florida Artificial Intelligence Research Symposium (FLAIRS 1997), Special Track on ITSs Daytona Beach, Florida, May 10–14. pp. 62–66 (1997)

    Google Scholar 

  24. Ruddy, L., Morin, J.-F.: The formula: a relation? Yes, but a concept too! In: [10], pp. 176–185 (1996)

    Google Scholar 

  25. Macmillan Stuart, A., Sleeman, D.H.: An architecture for a selfimproving instructional planner for intelligent tutoring systems. Computational Intelligence 3(1) (1987)

    Google Scholar 

  26. Masthoff Judith, F.M.: An agent-based interactive instruction system. Ph.D. thesis, University of Technology Eindhoven (Netherlands), p. 222 (1997) ISBN 90-386-0319-3

    Google Scholar 

  27. Nil, H.P.: Blackboard systems. AI Magazine 7(2), 38–53 (1986); 7(3), 82-106

    Google Scholar 

  28. Stellan, O.: Some principles of intelligent tutoring. In: Robert, L., Yazdani, M. (eds.) AI and Education: Learning Environments and Intelligent Tutoring Systems. Ablex Publishing, Norwood (1987)

    Google Scholar 

  29. Tim, O.: Self-improving Teaching Systems: an Application of Artificial Intelligence to Computer-aided Instruction. Birkhauser Verlag, Basel (1979)

    Google Scholar 

  30. Tim, O.: A self-improving quadratic tutor. International Journal of Man–Machine Studies 11, 97–124 (1979) (reprinted in [34])

    Article  Google Scholar 

  31. Ashok, P., Kinshuk, K.: Applied artificial intelligence for teaching numeric topics in engineering disciplines. In: [10], pp. 132–140 (1996)

    Google Scholar 

  32. Jeff, R., Lewis Johnson, W.: Steve: An animated pedagogical agent for procedural training in virtual environments. In: IJCAI 1997 Workshop on Animated Interface Agents, Nagoya, Japan, August 23–29 (1997)

    Google Scholar 

  33. Skinner Burrhus, F.: The Technology of Teaching. Appleton–Century–Crofts, New York (1968)

    Google Scholar 

  34. Sleeman Derek, H., Brown, J.S. (eds.): Intelligent Tutoring Systems. Academic Press, London (1982)

    Google Scholar 

  35. Milind, T.: Recursive agent and agent-group tracking in a real-time dynamic environment. In: Proc. of the First International Conference on Multiagent Systems (ICMAS 1995), San Francisco, CA (June 1995)

    Google Scholar 

  36. Milind, T., Rosenbloom, P.S.: Architectures for agents that track other agents in multiagent worlds. In: [37], pp. 156–170 (1996)

    Google Scholar 

  37. Michael, W., Müller, J.P., Tambe, M.: Intelligent Agents II: Agent Theories, Architectures and Languages. In: Proc. IJCAI 1995 Workshop (ATAL), Montreal, Canada, August 1995. LNCS (LNAI), vol. 1037. Springer, Berlin (1996)

    Google Scholar 

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© 1998 Springer-Verlag Berlin Heidelberg

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Lelouche, R. (1998). A Team of Agents Cooperating for Intelligent Tutoring. In: Zhang, C., Lukose, D. (eds) Multi-Agent Systems. Theories, Languages and Applications. DAI 1998. Lecture Notes in Computer Science(), vol 1544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10693067_12

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  • DOI: https://doi.org/10.1007/10693067_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65477-3

  • Online ISBN: 978-3-540-49241-2

  • eBook Packages: Springer Book Archive

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