Skip to main content

Construction of the Intelligent Tutoring System from the View of Distributed Cognition

  • Conference paper
Advances in Web-Based Learning – ICWL 2010 (ICWL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6483))

Included in the following conference series:

  • 1703 Accesses

Abstract

Distributed cognitive learning theory provides a comprehensive model to cognitive interaction and knowledge sharing. If distributed cognitive theory and distributed virtual reality technology are introduced into intelligent tutoring system, the creation of a realistic cognitive context, the sharing of resources, the improvement of personalized learning and the enhancement of teaching efficiency will become possible. This paper discusses distributed cognitive learning theory and its guidance to system design, presents the DITS (Distributed Intelligent Tutoring System, DITS) architecture based on Multi-Agent System (MAS) and distributed cognitive theory, and focuses on the analysis of the learning services core modules of DITS, including organization and management of teaching, learning, teaching experts and collaborative communication.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Snowdon, D., Greenhalgh, C., et al.: A Review of Distributed Architecture for Networked Virtual Reality. VR: Research, Development and Application 2(1), 155–175 (1996)

    Google Scholar 

  2. Stytz, M.: Distributed Virtual Environment. IEEE Computer Graphics and Application 16(3), 19–31 (1996)

    Article  Google Scholar 

  3. Pek, P.-K., Poh, K.-L.: A Bayesian Tutoring System for Newtonian Mechanics: Can It Adapt to Different Learners? Educational Computing Research 31(3), 281–307 (2004)

    Article  Google Scholar 

  4. Albert, D., Hockemeyer, C.: Adaptive and dynamic hypertext tutoring systems based on knowledge space theory. In: du Boulay, B., Mizoguchi, R. (eds.) Artificial Intelligence in Education: Knowledge and Media in Learning Systems. Frontiers in Artificial Intelligence and Applications, Amsterdam vol. 39, pp. 553–555 (1997)

    Google Scholar 

  5. Martin, J., VanLehn, K.: A Bayesian Approach to Cognitive Assessment. Cognitively Diagnostic Assessment, pp. 141–165 (1995)

    Google Scholar 

  6. Kelly, D., Tangney, B.: Adapting to Intelligence Profile in an Adaptive Educational System. Interacting with Computers 18(3), 385–409 (2006)

    Article  Google Scholar 

  7. About ADL, http://www.adlnet.gov/about/index.aspx (April 26, 2010)

  8. Jonathan (ed.), Tainian, Z., Youqun, R. (trans.).: The Theory Basis of Learning Environment. East China Normal UP, Shanghai, pp. 118-122 (2002)

    Google Scholar 

  9. Janfeng, R., Kedong, L.: The Distributed Cognitive Theory and its Appliance in the System Design of CSCL. Education Research 8, 3–6 (2004)

    Google Scholar 

  10. Guomei, Z., Xiaolan, F.: Distributed Cognition: A New Cognitive Viewpoint. Advances in Psychological Science 2, 149 (2002)

    Google Scholar 

  11. Mandl, H., Lesgold, A.: Learning Issues for Intelligent Tutoring Systems, pp. 246–252. Springer, New York (1988)

    Book  Google Scholar 

  12. Hartley, J.R., Sleeman, D.H.: Toward Smore Intelligent Tutoring System. International Journal of Man-Machines Studies 5(3), 215–236 (1973)

    Article  Google Scholar 

  13. Wooldrige, M.J., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent Oriented Analysis and Design. Autonomous Agents and Multi-Agent Systems 3, 285–312 (2000)

    Article  Google Scholar 

  14. Sugawara, T., Murakami, K., Goto, S.: A Multi-Agent Monitoring and Diagnostic System for TCP IP-based Network and its Coordination. Knowledge Based Systems 14, 367–383 (2001)

    Article  Google Scholar 

  15. Chunlin, L., Zhengding, L., Layuan, L.: A Mobile Agent Platform based on Tuple Space Coordination. Engineering Software 33(4), 215–225 (2002)

    MATH  Google Scholar 

  16. Urban-Lurain, M.: Intelligent Tutoring Systems: An Historic Review in the Context of the Development of Artificial Intelligence and Educational Psychology, http://www.cse.msu.edu/rgroups/cse101/ITS/its.htm (May 20, 2010)

  17. Barbuceanu, M., Fox, M.S.: The Architecture of an Agent Building Shell. Canadian Artificial Intelligent 1037, 9–11 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, X., Liu, R., Li, M. (2010). Construction of the Intelligent Tutoring System from the View of Distributed Cognition. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds) Advances in Web-Based Learning – ICWL 2010. ICWL 2010. Lecture Notes in Computer Science, vol 6483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17407-0_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17407-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17406-3

  • Online ISBN: 978-3-642-17407-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics