ANTS: agent-based navigational training system

  • Authors:
  • Yu-Lin Jeng;Yueh-Min Huang;Yen-Hung Kuo;Juei-Nan Chen;William C. Chu

  • Affiliations:
  • Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan, R.O.C;Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan, R.O.C;Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan, R.O.C;Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan, R.O.C;Department of Computer Science and Information Engineering, TungHai University, Taichung, Taiwan

  • Venue:
  • ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
  • Year:
  • 2005

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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.