ANTS: Agent-based navigational training system

Yu Lin Jeng, Yueh Min Huang, Yen Hung Kuo, Juei Nan Chen, William C. Chu

Research output: Contribution to journalConference articlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)320-325
Number of pages6
JournalLecture Notes in Computer Science
Publication statusPublished - 2005
Event4th International Conference on Web- Based Learning - ICWL 2005 - Hong Kong, China
Duration: 2005 Jul 312005 Aug 3

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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