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.
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Gao, S., Zhang, Z., Wells, J., Hawryszkiewycz, I. (2005). Supporting Adaptive Learning with High Level Timed Petri Nets. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_118
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DOI: https://doi.org/10.1007/11553939_118
Publisher Name: Springer, Berlin, Heidelberg
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