Skip to main content

Agent-Based elearning Systems: A Goal-Based Approach

  • Chapter
  • 2371 Accesses

Abstract

With the development of Internet applications, E-commerce/E-business revolutionized the way companies sold their products and services and the way businesses addressed customer needs and concerns [1]. These applications increased productivity and reduced cost while increasing customer satisfaction and maintaining their competitiveness. E-learning, as another type of Internet applications, is now becoming very popular as companies rethink almost every aspect of the way their employees work in the enterprise [2]. In this era of rapid change, large amounts of new products, market, and competitive information are emerging. Employees are expected to learn frequently so as to compete effectively. However, employees usually have different skill sets and have different learning requirements. Traditional instructor-led training and on-line training cannot scale to meet these new learning challenges. E-learning, defined as Internet-enabled or Internet-enhanced learning, provides the tools to create personalized learning path and to be able to dynamically readapt learning paths according to user feedbacks in order to optimize the acquisition of needed competencies [2][3].

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   549.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wilderman, J., The Es have it: E-business, E-commerce, E-tailing and the web, Gartner Group Research Report, 2000.

    Google Scholar 

  2. Osmar, R. and Zaïane, Building a Recommender Agent for e-Learning Systems, in Proceedings of the International Conference on Computers in Education, pp. 55–59, Auckland, New Zealand, December 2002.

    Google Scholar 

  3. Garro, A. and Palopoli, L., An XML Multi-Agent System for e-Learning and Skill Management, in Proceedings of the 3rd International Symposium on Multi-Agent Systems, Large Complex Systems, and E-Businesses (MALCEB’ 2002), pp. 283–294, Erfurt, Germany, October, 2002.

    Google Scholar 

  4. Silveira, R. A., Improving interactivity in e-learning systems with Multi-Agent architecture, De Bra P, Brusilovisky P, and Conejo R. (Eds.): Lecture Notes in Computer Science, Biarritz, Vol. 2347, SpringerVerlag Berlin Heidelberg, 2002.

    Google Scholar 

  5. Wooldridge, M. and Jennings, N. R., Intelligent agents: Theory and practice, The knowledge Engineering Review, Vol. 10, Issue 2, pp. 115–152, 1995.

    Article  Google Scholar 

  6. Jennings, N. R., Sycana, K. and Wooldridge, M., A roadmap of agent research and development, Autonomous Agentsand Multi-Agent Systems, Vol. 1, Issue 1, pp. 7–38, 1998.

    Article  Google Scholar 

  7. Guttman, R., Moukas, A. and Maes, P, Agent-mediated electronic commerce: A survey, Knowledge Engineering Review, Vol. 13, pp. 147–159, 1998.

    Article  Google Scholar 

  8. Shen, Z. Q., Gay, R. and Tao, X. H., Goal-Based Intelligent Agents, International Journal of Information Technology, Vol. 9, No.1, pp. 19–30, 2003.

    Google Scholar 

  9. Murata, T., Petri Net: Properties, Analysis and Applications, in Proceedings of IEEE, 1989.

    Google Scholar 

  10. Jensen, K., n Introduction to the Practical Use of Coloured Petri Nets, Reisig W and Rozenberg G. (eds.): Lectures on Petri Nets II: Applications, Lecture Notesin Computer Science, Vol. 1492, Springer-Verlag, 1998.

    Google Scholar 

  11. Martin, J. and Odell, J. J., Object-Oriented Methods: A Foundation, 2nd ed., Prentice-Hall, Upper Saddle River, 1998.

    Google Scholar 

  12. Mayo, M. and Mitrovic, A., Optimising ITS Behaviour with BayesianNetworks and Decision Theory, International Journal of Artijicial Intelligence in Education, Vol. 12, pp. 124–153, 2001.

    Google Scholar 

  13. Van Lamsweerde A., Goal-Oriented Requirements Engineering: A Guided Tour, in Proceedings of the Fifth IEEE International Symposium onRequirements Engineering (RE’ 01), pp. 249–262, Toronto, Canada, August, 2001.

    Google Scholar 

  14. Shen, Z. Q., Gay, R., Li, X. and Yang, Z. H., An Agent Approach for Intelligent Business Forecasting, Leondes, C. T. (eds.): Chapter of Intelligent Systems: Technology and Applications, Volume V: Manufacturing, Industrial and Management Systems, CRC Press/Lewis Publishers, Boca Raton, FL, USA, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Kluwer Academic Publishers

About this chapter

Cite this chapter

Shen, Z., Gay, R., Miao, Y. (2005). Agent-Based elearning Systems: A Goal-Based Approach. In: Leondes, C.T. (eds) Intelligent Knowledge-Based Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4020-7829-3_27

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-7829-3_27

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7746-3

  • Online ISBN: 978-1-4020-7829-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics