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Using Agent Technology to Improve the Quality of Web-Based Education

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Web Intelligence

Abstract

This chapter describes ways of improving the quality of Web-based education and training through the use of agent technology. Animated pedagogical agents, or guidebots, can be integrated into Web-based learning materials. They guide and assist learners as needed, probe their understanding, and promote learning and retention. If properly designed, they can promote learner motivation. They exploit the natural human tendency to respond socially to computing systems. Design, reasoning, and interaction issues associated with guidebots are illustrated in the context of a specific guidebot system, the Adele guidebot, applied to medical diagnostic reasoning. The chapter then outlines current efforts to generalize guidebot technology and to endow guidebots with social intelligence.

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References

  1. E. André, T. Rist, J. Müller: Employing AI methods to control the behavior of animated interface agents. Applied Artificial Intelligence, 13, 415–448 (1999)

    Article  Google Scholar 

  2. B.S. Bloom: The 2 sigma problem: The search for methods of group instruction as effective as one-on-one tutoring. Education Researcher, 13, 3–16 (1984)

    Article  Google Scholar 

  3. J.D. Bransford, A.L. Brown, R.R. Cocking: How People Learn ( National Academy Press, Washington, DC, 1999 )

    Google Scholar 

  4. J.T. Bruer: Schools for Thought: A Science of Learning in the Classroom ( MIT Press, Cambridge, MA, 1999 )

    Google Scholar 

  5. P. Brusilovsky, E. Schwartz, G. Weber: ELM-ART: An intelligent tutoring system on World-Wide Web. In: C. Frasson, G. Gauthier, A. Lesgold (eds.) Intelligent Tutoring Systems: 3rd International Conference, ITSE6, 261–269 ( Springer, Berlin, 1996 )

    Google Scholar 

  6. M.T.H. Chi, S.A. Siler, H. Jeong, T. Yamauchi, R.G. Hausmann: Learning from human tutoring. Cognitive Science, 25, 471–533 (2001)

    Article  Google Scholar 

  7. W.J. Clancey: Qualitative student models. Ann. Rev. Comput. Sci. 1, 381–450 (1986)

    Google Scholar 

  8. F. Cozman, F. JavaBayes: http://www.cs.cmu.edu/ javabayes/

    Google Scholar 

  9. M.B. Deaken: The Failings of Distance Learning. Computerworld, Jan. 29 (2001)

    Google Scholar 

  10. A. D’Souza, J. Rickel, B. Herreros, W.L. Johnson: An automated lab instructor for simulated science experiments. In: J.D. Moore, C.L. Redfield, W. Lewis Johnson (eds.), Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future ( IOS Press, Amsterdam, 2001 ) pp. 65–76

    Google Scholar 

  11. T. Del Soldato, B. du Boulay: Implementation of motivational tactics in tutoring systems. Journal of Artificial Intelligence in Education, 6 (4), 337–378 (1995)

    Google Scholar 

  12. M. Dessouky, S. Verma, D. Bailey, J. Rickel: A methodology for developing a Web-based factory simulator for manufacturing education. IEE Transactions, 33, 167–180 (2001)

    Google Scholar 

  13. R. Ganeshan, W.L. Johnson, E. Shaw, B. Wood: Tutoring diagnostic problem solving. In: G. Gauthier, C. Frasson, K. VanLehn (eds.) Intelligent Tutoring Systems: 5th International Conference, ITS 2000 ( Springer-Verlag, Berlin, 2000 )

    Google Scholar 

  14. D. Geiger, T. Verma, J. Pearl: Identifying Independence in Bayesian Networks. Networks, 20, 507–534 (1990)

    Google Scholar 

  15. A.S. Gertner, C. Conati, K. VanLehn: Procedural Help in Andes: Generating hints using a Bayesian network student model. Proc. 15th Nat. Conf. on Artificial Intelligence ( AAAI Press, Menlo Park, CA, 1998 ) pp. 106–111

    Google Scholar 

  16. S.R. Hiltz: The Virtual Classroom: Learning Without Limits via Computer Networks ( Ablex Publishing Corp., Norwood, NJ, 1994 )

    Google Scholar 

  17. W.L. Johnson: Pedagogical agent research at CARTE. AI Magazine, 22 (4), 85–95 (2001)

    Google Scholar 

  18. W.L. Johnson, J.W. Rickel, J.C. Lester: Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments. International Journal of Artificial Intelligence in Education, 11, 47–78 (2000)

    Google Scholar 

  19. W.L. Johnson, J.W. Rickel, R. Stiles, A. Munro: Integrating pedagogical agents into virtual environments. Presence, 7 (8) (1998)

    Google Scholar 

  20. K.R. Koedinger, J.R. Anderson, W.H. Hadley, M.A. Mark: Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8 (1), 30–43 (1997)

    Google Scholar 

  21. N.M. Lambert, B.L. McCombs: How students learn. American Psychological Association (Washington, DC, 1998 )

    Google Scholar 

  22. M.R. Lepper, M. Woolverton, D.L. Mumme, J.L. Gurner: Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. In: S.P. Lajoie and S.J. Derry (eds.), Computers as Cognitive Tools, 75–105 ( Lawrence Erlbaum Associates, Hillsdale, NJ, 1993 )

    Google Scholar 

  23. J.C. Lester, S.A. Converse, S.E. Kahler, S.T. Barlow, B.A. Stone, R.S. Bhogal: The persona effect: Affective impact of animated pedagogical agents. Proc. CHI ‘97 (1997) pp. 359–366

    Google Scholar 

  24. J.C. Lester, S.A. Converse, B.A. Stone, S.E. Kahler, S.T. Barlow: Animated pedagogical agents and problem-solving effectiveness: A large-scale empirical evaluation. Proc. the Eighth World Conference on Artificial Intelligence in Education ( IOS Press, Amsterdam, 1997 ) pp. 23–30

    Google Scholar 

  25. W.C. Mann, S.A. Thompson: Rhetorical structure theory: A theory of text organization. Technical Report ISI/RS-87–190 (Information Sciences Institute, University of Southern California, Marina del Rey, CA, 1987 )

    Google Scholar 

  26. D. Marcu, B. Amorrortu, M. Romera: Experiments in Constructing a Corpus of Discourse Trees. In: The ACL’99 Workshop on Standards and Tools for Discourse Tagging, Maryland (RST tool: http://www.isi.edu/licensed-sw/RSTTooI/index.html) (1999)

    Google Scholar 

  27. S. Marsella, W.L. Johnson, C. LaBore: Interactive pedagogical drama. Proc. the Fourth International Conference on Autonomous Agents (ACM Press, New York, 2000) pp. 301308

    Google Scholar 

  28. R.E. Mayer: Multimedia learning (Cambridge University Press, 2001)

    Google Scholar 

  29. D. McArthur, M. Lewis: Untangling the Web: Applications of the Internet and Other Information Technologies to Higher Education. Tech report DRU-1401–1-IET ( The RAND Corporation, Santa Monica, CA, 1997 )

    Google Scholar 

  30. A. Mitrovic, P. Suraweera (2000): Evaluating an animated pedagogical agent. In: G. Gauthier, C. Frasson, K. VanLehn (eds.), Intelligent Tutoring Systems: 5th International Conference, ITS 2000 ( Springer, Berlin, 2000 ) pp. 73–82

    Chapter  Google Scholar 

  31. R. Moreno, R.E. Mayer, H. Spires, J. Lester: The case for social agency in computer-based teaching: Do students learn more deeply when they interact with animated pedagogical agents? Cognition and Instruction, 19 (in press)

    Google Scholar 

  32. M. O’Donnell: RSTToo12.4–A Markup Tool for Rhetorical Structure Theory. Proc. the International Natural Language Generation Conference (INLG’2000) ( Mitzpe Ramon, Israel, 2000 ) pp. 253–256

    Google Scholar 

  33. K. Okada, S. Akamatsu, C. von der Malsburg: Analysis and synthesis of pose variations of human faces by a linear PCMAP model and its application for pose-invariant face recognition system. Proc. the Fourth International Conference on Automatic Face and Gesture Recognition, March 26–30, Grenoble (IEEE Computer Society, 2000) pp. 142149

    Google Scholar 

  34. A. Paiva, I. Machado, Martinho: Enriching pedagogical agents with emotional behavior: The case of Vincent. In: W. L. Johnson (ed.), AI-ED E9 Workshop on Animated and Personified Agents, 47–55 (1999)

    Google Scholar 

  35. Plato: Meno. In W.K.C. Guthrie (Tr.), Protagoras and Meno (Penguin Books, London, 1956)

    Google Scholar 

  36. J. Rickel, W.L. Johnson: Animated agents for procedural training in virtual reality: Perception, cognition, and motor control. Applied Artificial Intelligence, 13, 343–382 (1999)

    Article  Google Scholar 

  37. B. Reeves, C. Nass: The Media Equation: How people treat computers, television, and new media like real people and places (Cambridge University Press, New York, 1996 )

    Google Scholar 

  38. P. Rizzo, E. Shaw, W.L. Johnson: An agent the helps children to author rhetorically structured digital puppet presentations. Proc. the 6th Intelligent Tutoring Systems Conference ( Springer, Berlin, 2002 )

    Google Scholar 

  39. S. Russell, P. Norvig: Artificial Intelligence: A Modern Approach ( Prentice Hall, Englewood Cliffs, 1995 )

    MATH  Google Scholar 

  40. C. Sansone, J.M. Harackiewicz: Intrinsic and extrinsic motivation: The search for optimal motivation and performance ( Academic Press, San Diego, 2000 )

    Google Scholar 

  41. E. Shaw, R. Ganeshan, W.L. Johnson, D. Millar: Building a case for agent-assisted learning as a catalyst for curriculum reform in medical education. Proc. the Ninth International Conference on Artificial Intelligence in Education ( IOS Press, Amsterdam, 1999 )

    Google Scholar 

  42. E. Shaw, W.L. Johnson, R. Ganeshan: Pedagogical agents on the Web. Proc. the Third International Conference on Autonomous Agents ( ACM Press, New York, 1999 )

    Google Scholar 

  43. Y. Shindo, H. Matsuda: Prototype of Cyber Teaching Assistant. Proc. the IEEE Intl. Conf. on Advanced Learning Technologies (IEEE Computer Society Press, Los Alamitos, CA) pp. 70–73

    Google Scholar 

  44. P. Suppes: The uses of computers in education. Scientific American, 215, 206–221 (1996)

    Article  Google Scholar 

  45. N. Whitman: Peer Teaching: To Teach is to Learn. ASHE-ERIC Higher Education Report, 17 (4) (1998)

    Google Scholar 

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Authors and Affiliations

  1. USC / Information Sciences Institute, Center for Advanced Research in Technology for Education (CARTE), Marina del Rey, CA, 90292, USA

    W. Lewis Johnson

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  1. W. Lewis Johnson
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Editors and Affiliations

  1. Knowledge Information Systems Lab., Dept. of Systems and Information Eng., Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371-0816, Maebashi-City, Japan

    Ning Zhong

  2. Dept. of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Jiming Liu

  3. Dept. of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

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© 2003 Springer-Verlag Berlin Heidelberg

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Johnson, W.L. (2003). Using Agent Technology to Improve the Quality of Web-Based Education. In: Zhong, N., Liu, J., Yao, Y. (eds) Web Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05320-1_5

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  • DOI: https://doi.org/10.1007/978-3-662-05320-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07936-8

  • Online ISBN: 978-3-662-05320-1

  • eBook Packages: Springer Book Archive

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