Advertisement

Modeling e-Learning System Performance Evaluation with Agent-Based Approach

  • Hsiao-Ya Chiu
  • Sheng Chieh Chung
  • An-Pin Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

Rapidly evolving information technology has dramatically changed the knowledge dissemination process. A proper e-learning environment is one of the most important knowledge tools in modern organizations. However, many of them lack a generic evaluation process to verify performance. In an attempt to solve this problem, this study propose an agent-based model which compose learning model, balanced scorecard and the option pricing approach to provide an dynamic, flexible framework for e-learning project’s performance evaluations.

Keywords

E-learning performance evaluation option-pricing approach Black-Scholes model balanced scorecard approach information agent systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kaplan, R., Norton, D.: The balanced scorecard: measures that drive performance. Harvard Business Review 70(1), 71–80 (1992)Google Scholar
  2. 2.
    Kaplan, R., Norton, D.: Putting the balanced scorecard to work. Harvard Business Review 71(5), 134–147 (1993)Google Scholar
  3. 3.
    Kaplan, R., Norton, D.: Using the balanced scorecard as a strategic management system. Harvard Business Review 74(1), 75–85 (1996)Google Scholar
  4. 4.
    Forbes, L., Hamilton, J.: Building an international student market: educational-balanced scorecard solutions for regional Australian cities. International Education Journal 5(4), 502–520 (2003)Google Scholar
  5. 5.
    Kirkpatrick, D.L.: Techniques for evaluating training programs. Journal of the American Society of Training Directors 13, 3–26 (1959)Google Scholar
  6. 6.
    Kirkpatrick, D.L., Kirkpatrick, J.D.: Evaluating Training Programs: The Four Levels (3rd), Berrett-Koehler Publishers (1994)Google Scholar
  7. 7.
    Cox, J.C., Ross, S.A.: The valuation of options for alternative stochastic processes. Journal of Financial Economics 3, 145–166 (1996)CrossRefGoogle Scholar
  8. 8.
    Myers, S.C., Majd, S.: Abandonment Value and Project Lift, Advances in Futures and Option Research 4, 1 (1990)Google Scholar
  9. 9.
    Brach, M.A. (ed.): Real Options in Practice, pp. 218–223. John Wiley & Sons, Inc, Chichester (2003)Google Scholar
  10. 10.
    Black, F., Scholes, M.: The pricing of options and corporate liabilities. Journal of Political Economy 81(3), 637–659 (1973)MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Klusch, M., et al.: Information agent technology for the Internet: A survey. Data and Knowledge Engineering 36, 337–372 (2001)CrossRefzbMATHGoogle Scholar
  12. 12.
    Chiu, H.Y., Sheng, C.C., Chen, A.P.: Designing a Dynamic E-learning Project Performance Evaluation Framework. In: The 7th IEEE International Conference on Advanced Learning Technologies (accepted)Google Scholar
  13. 13.
    Jonker, C.M., Lam, R.A., Treur, J.: A multi-agent architecture for an intelligent website for insurance. In: Proceedings of cooperative agents III. LNCS (LNAI), pp. 86–100. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  14. 14.
    Preece, A.D., Hui, K.-Y., Gray, W.A., Marti, P., Bench-Capon, T.J.M., Jones, D.M., Cu, Z.: The KRAFT architecture for knowledge fusion and transformation. In: 19th SGES International conference on knowledge-based systems and applied artificial intelligence (ES’99), Springer, Heidelberg (1999)Google Scholar
  15. 15.
    Beer, M., Huang, W., Sixsmith, A.: Using agents to build a practical implementation of the INCA system. In: Intelligent agents and their applications, Springer, Heidelberg (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hsiao-Ya Chiu
    • 1
  • Sheng Chieh Chung
    • 1
  • An-Pin Chen
    • 2
  1. 1.The Department of Management Information, Yu Da College of Business, No.168, Hsueh-fu Rd, Chaochiao Township, Miaoli County, 361 TaiwanROC
  2. 2.Institute of Information Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, 300 TaiwanROC

Personalised recommendations