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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Gao, S., Zhang, Z., Wells, J., & Hawryszkiewycz, I. (2005). Supporting adaptive learning with high level timed Petri Nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 837–840). Springer Verlag. https://doi.org/10.1007/11553939_118
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