Web-based Intelligent Tutoring System with Strategy Selection Using Consensus Methods

  • Conference paper
Intelligent Information Processing and Web Mining

Part of the book series: Advances in Soft Computing ((AINSC,volume 22))

Abstract

In this paper we present web-based implementation of the Intelligent Tutoring System. In the system the strategy selection is made by application of consensus methods. In the system the tutoring strategy is adapted for the particular student basing on the successful strategies of other similar students. Domain knowledge of the system contains traffic regulations in Poland. This area was chosen to attract potentially many users.

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

Access this chapter

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now
Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 117.69
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 160.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** 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.

Similar content being viewed by others

References

  1. Felder R. M., Silverman L. K.: Learning and Teaching Styles in Engineering Education. Engineering Education (1988) 78 (7) 674–681.

    Google Scholar 

  2. Kukla E., Nguyen N.T., Sobecki J., Towards the model of tutoring strategy selection based on consensus procedure in hypermedia Web systems, Proc. of 15th Int. Conf. on System Science, Wroclaw (2001) 3, 404–411.

    Google Scholar 

  3. Kukla E., Nguyen N. T., Sobecki J.: The consensus based tutoring strategy selection in CAL systems, World Transactions on Engineering and Technology Education, Melbourne (2001) 1, 44–49.

    Google Scholar 

  4. Lennon J. A.: Hypermedia Systems and Applications — World Wide Web and Beyond. Berlin: Springer-Verlag (1997).

    Book  Google Scholar 

  5. Nielsen J.: Hypertext And Hypermedia, Boston: Academic Press Professional (1993).

    Google Scholar 

  6. Nwana H.S.: Intelligent tutoring systems: an overview. Artificial Intelligence Rev. (1990) 3, 251–277.

    Google Scholar 

  7. Sobecki J.: An algorithm for tutoring strategy selection in CAL systems. Technical Reports of Dept. of Information Systems, SPR nr 30, Wroclaw (2000).

    Google Scholar 

  8. Sobecki J., Nguyen N. T., Using Consensus Methods to User Classification in Interactive Systems. Advances in Soft Computing. Physica Verlag (2002) 331– 339.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sobecki, J., Morel, K., Bednarczuk, T. (2003). Web-based Intelligent Tutoring System with Strategy Selection Using Consensus Methods. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36562-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-36562-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00843-9

  • Online ISBN: 978-3-540-36562-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Navigation