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Enhancing Web-Based Adaptive Learning with Colored Timed Petri Net

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Knowledge Science, Engineering and Management (KSEM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4798))

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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Zili Zhang Jörg Siekmann

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© 2007 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-540-76719-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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