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ANTS: Agent-Based Navigational Training System

  • Yu-Lin Jeng
  • Yueh-Min Huang
  • Yen-Hung Kuo
  • Juei-Nan Chen
  • William C. Chu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3583)

Abstract

There is an explosive growth of e-learning trend during the last few years. More and more learning resources are generated by different purposes in the world. How to make the learning resources to be sharable and reusable is a key factor in e-learning environment. This paper presents a system framework of Agent-based Navigational Training System (ANTS) to facilitate lecturers and learners achieving their works. Besides, we apply the model of Dynamic Fuzzy Petri Net (DFPN) and the intelligent agent into the system to assist learners. The intelligent agent can dynamically generate the learning path for each learner. Moreover, the system is compatible to Sharable Content Object Reference Model (SCORM) which is the most acceptable e-Learning system developing standard. Accordingly, the learning resources could be sharable and reusable in any platforms which are compatible to SCORM standard.

Keywords

Intelligent Agent Learning Resource Simple Object Access Protocol Authoring Tool Learning Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yu-Lin Jeng
    • 1
  • Yueh-Min Huang
    • 1
  • Yen-Hung Kuo
    • 1
  • Juei-Nan Chen
    • 1
  • William C. Chu
    • 2
  1. 1.Department of Engineering ScienceNational Cheng Kung UniversityTainanTaiwan, R.O.C
  2. 2.Department of Computer Science and Information EngineeringTungHai UniversityTaichungTaiwan

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