Supporting adaptive learning with high level timed petri nets

Authors:
Shang Gao;Zili Zhang;Jason Wells;Igor Hawryszkiewycz
Affiliations:
Deakin University, Geelong, VIC, Australia;Deakin University, Geelong, VIC, Australia;Deakin University, Geelong, VIC, Australia;University of Technology, Sydney, Broadway, NSW, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

Supporting adaptive learning is one of the key problems for hypertext-based learning applications. This paper proposed a timed Petri Net based approach that provides adaptation to learning activities by controlling the visualization of hypertext information nodes. Simple examples were given while explaining ways to realize adaptive operations. Future directions were also discussed at the end of this paper.