论文信息 - Supporting adaptive learning in hypertext environment: a high level timed Petri net based approach

Supporting adaptive learning in hypertext environment: a high level timed Petri net based approach

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.

Shang Gao | Igor Hawryszkiewycz | Zili Zhang

[1] Tadao Murata,et al. Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[2] Dietrich Albert,et al. Adaptive and Dynamic Hypertext Tutoring Systems Based on Knowledge Space Theory , 1996 .

[3] P. David Stotts,et al. Dynamic adaptation of hypertext structure , 1991, HYPERTEXT '91.

[4] Ben Shneiderman,et al. Identifying aggregates in hypertext structures , 1991, HYPERTEXT '91.

[5] Mayer D. Schwartz,et al. The Dexter Hypertext Reference Model , 1994, CACM.

[6] Shang Gao. A Web-based Hypertext Learning State Space Model and Learning Control , 2002, IMSA.

[7] Piet Kommers,et al. Proceedings of the Sixth International Conference on Advanced Learning Technologies , 2006 .

[8] Farshad Fotouhi,et al. Adaptive clustering of scientific data , 1994, Proceeding of 13th IEEE Annual International Phoenix Conference on Computers and Communications.