Supporting Adaptive Learning in Hypertext Environment: A High Level Timed Petri Net Based Approach

  • Authors:
  • Shang Gao;Igor Hawryszkiewycz

  • Affiliations:
  • Deakin University;University of Technology at Sydney

  • Venue:
  • ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
  • Year:
  • 2005

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Abstract

One problem for hypertext-based learning application is to control learning paths for different learning activities. This paper first introduced related concepts of hypertext learning state space and Petri net, then proposed a high level timed Petri Net based approach to provide some kinds of adaptation for learning activities. Examples were given while explaining ways to realizing adaptive instructions. Possible future directions were also discussed at the end of this paper.