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Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5192))

Abstract

Authoring of Adaptive Hypermedia is a difficult and time consuming task. Reference models like LAOS and AHAM separate adaptation and content in different layers. Systems like AHA!, offer graphical tools based on these models to allow authors to define adaptation without knowing any adaptation language. The adaptation that can be defined using such tools is still limited. Authoring systems like MOT are more flexible, but usability of adaptation specification is low. This paper proposes a more generic model, CAM, which allows the adaptation to be defined in an arbitrary number of layers, where adaptation is expressed in terms of relationships between concepts. This model allows the creation of more powerful yet easier to use graphical authoring tools.

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Pierre Dillenbourg Marcus Specht

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Hendrix, M., De Bra, P., Pechenizkiy, M., Smits, D., Cristea, A. (2008). Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model. In: Dillenbourg, P., Specht, M. (eds) Times of Convergence. Technologies Across Learning Contexts. EC-TEL 2008. Lecture Notes in Computer Science, vol 5192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87605-2_16

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  • DOI: https://doi.org/10.1007/978-3-540-87605-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87604-5

  • Online ISBN: 978-3-540-87605-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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