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.
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Gao, S., Dew, R. (2007). Enhancing Web-Based Adaptive Learning with Colored Timed Petri Net. In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_20
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DOI: https://doi.org/10.1007/978-3-540-76719-0_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76718-3
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