Modeling e-learning system performance evaluation with agent-based approach

Hsiao Ya Chiu*, Sheng Chieh Chung, An-Pin Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publicationKES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Pages90-98
Number of pages9
EditionPART 2
DOIs
StatePublished - 1 Dec 2007
Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy
Duration: 12 Sep 200714 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4693 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
CountryItaly
CityVietri sul Mare
Period12/09/0714/09/07

Keywords

  • Balanced scorecard approach
  • Black-Scholes model
  • E-learning
  • Information agent systems
  • Option-pricing approach
  • Performance evaluation

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