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Blending intelligent and reciprocal tutoring systems: a dynamic approach

Published: 26 February 2010 Publication History

Abstract

This paper explores the principles of a valuable educational tool - Intelligent Tutoring System (ITS) -- an application of Artificial Intelligence for the education domain. The paper discusses principles and state-of-the-art models of few ITS, the problems associated with Knowledge Engineering based ITS and provides a possible architecture to blend concepts of reciprocal tutoring with ITS. Some empirical work is necessary as proof-of-concept for the proposed architecture.

References

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Alpert, S. R., Singley, M. K., Fairweather, P. G, 1999. Deploying intelligent tutors on the web: An architecture and an example. JAIE, 10:183--197.
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Alla Anohina, Advances in Intelligent Tutoring Systems: Problem-solving Modes and Model of Hints, International Journal of Computers, Communications & Control Vol. II (2007), No. 1, pp. 48--55
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Aurora Vizcaino and Benedict du Boulay, 2002, Using a Simulated Student to Repair Difficulties in Collaborative Learning ICCE, Proceedings of the International Conference on Computers in Education Page: 349
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Brusilovsky, P. 2000, Adaptative hypermedia: From intelligent tutoring systems to web-based education. LNCS, Intelligent Tutoring Systems 2000.
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C. M. Hong, C. M. Chen, M. H. Chang, and S. C. Chen, "Intelligent Web-based Tutoring System with Personalized Learning Path Guidance", Seventh IEEE International Conference on Advanced Learning Technologies, 2007, pp. 512--516.
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Chih-Yueh Choua, Tak-Wai Chanb, Chi-Jen Linc, Redefining the learning companion: the past, present, and future of educational agents, Computers & Education, Volume 40, Issue 3 (April 2003) Pages: 255--269, Year of Publication: 2003
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E. Wenger, Artificial Intelligent and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge, Morgan Kaufmann Publishers, CA, 1987.
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Kevin Kardian and Neil T. Heffernan, Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods, 2006, pp. 735--737.
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M. Wooldridge, and N. R. Jennings, "Intelligent Agents: Theory and Practice", Knowledge Engineering Review, Vol. 10, No. 2, 1995, pp. 115--152.
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Shi-Sheng Yang, Tak-Wai Chan, Jia-Sheng Heh, Fuzzy dialog analysis in reciprocal learning Dept. of Inf. Eng., Nat. Central Univ., Chung-Li Taiwan, 2002-08-06, pp. 30--36.
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Tak-Wai Chan Chih-Yueh Chou, Exploring the design of computer supports for reciprocal tutoring, International Journal of Artificial Intelligence in Education (1997), 8, pp. 1--29.
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http://en.wikipedia.org

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ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology
February 2010
1070 pages
ISBN:9781605588124
DOI:10.1145/1741906
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • UNITECH: Unitech Engineers, India
  • AICTE: All India Council for Technical Education

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Association for Computing Machinery

New York, NY, United States

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Published: 26 February 2010

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Author Tags

  1. artificial intelligence
  2. blended learning
  3. intelligent tutoring system
  4. knowledge engineering
  5. learning companion
  6. reciprocal learning

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ICWET '10
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  • UNITECH
  • AICTE

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