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Enhancing web-based adaptive learning with colored timed Petri net

Published: 28 November 2007 Publication History

Abstract

One of the issues for Web-based learning applications is to adaptively provide personalized instructions for different learning activities. This paper proposes a high level colored timed Petri Net based approach to providing some level of adaptation for different users and learning activities. Examples are given to demonstrate how to realize adaptive interfaces and personalization. Future directions are also discussed at the end of this paper.

References

[1]
Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia. International Journal of User Modeling and User-Adpated Interaction 6(2-3), 87-129 (1996).
[2]
Paterno, F., Mancini.: Designing WEb Interfaces Adaptable to Different Types of Use. In: Proceedings of Workshop Museumns and the Web (1999).
[3]
Koch, N., Rossi, G.: Patterns for Adaptive WEb Applications. In: Proceedings of 7th European Conference on Pattern Languages of Programs (2002), Available: citeseer: http://citeseer.ist.psu.edu/koch02patterns.html
[4]
Albert, D., et al.: Adaptive and Dynamic Hypertext Tutoring Systems Based on Knowledge Space Theory. In: Artificial Intelligence in Education: Knowledge and Media in Learning Systems. Frontiers in Artificial Intelligence and Applications, vol. 39, IOS Press, Amsterdam (1997).
[5]
Halasz, F., et al.: The Dexter hypertext reference model. Communications of the ACM 37(2), 30-39 (1994).
[6]
Rodrigo, A.B., et al.: Identifying Aggregates in Hypertext Structures. In: ACM Proceedings of the Hyptertext 1991 Conference, San Antonio, Texas, (December 1991).
[7]
Johnson, A., et al.: Adaptive Clustering of Scientific Data. In: Proceedings of the 13th IEEE International Phoenix Conference on Computers and Communication, Tempe, Arizona (1994).
[8]
Gao, S.: A Web-based Hypertext Learning State Space Model and Learning Control. In: Proceedings of the Sixth IASTED Int. Conf.: Internet and Multimedia Systems and Applications, Kaua'I, Hawaii, USA, August 12-14, 2002, pp. 92-96 (2002).
[9]
Stotts, P.D., Furuta, R.: Petri-net-based Hypertext: Document structure with browsing semantics. ACM Trans. on Information Systems 7(1), 3-29 (1989).
[10]
Furuta, R., Na, J.: Applying caTs Programmable Browsing Semantics to Specify World-Wide Web Documents that Reflect Place, Time, Reader, and Community. In: Proceedings of DocEng 2002, McLean, Virginia, USA, November 8-9, 2002, pp. 10-17 (2002).
[11]
Gao, S., Zhang, Z., Hawryszkiewycz, I.: Supporting Adaptive Learning in Hypertext Environment: a High Level Timed PetriNet based Approach. In: ICALT 2005. Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, Kaohsiung, Taiwan, July 5-8, 2005, pp. 735-739 (2005).
[12]
Gao, S., Zhang, Z., Hawryszkiewycz, I.: Supporting adaptive learning with high level timed Petri Nets. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3681, pp. 834-840. Springer, Heidelberg (2005).
[13]
Murata, T.: Petri nets: Properties, analysis and applications. Proceedings of the IEEE 77(4), 541-580 (1989).

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Published In

cover image Guide Proceedings
KSEM'07: Proceedings of the 2nd international conference on Knowledge science, engineering and management
November 2007
669 pages
ISBN:3540767185
  • Editors:
  • Zili Zhang,
  • Jörg Siekmann

Sponsors

  • AFOSR: AFOSR

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 November 2007

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