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    Adaptation Languages for Learning: the CAM Meta-Model

    Hendrix, M., Cristea, A.I. and Stewart, C. (2009) Adaptation Languages for Learning: the CAM Meta-Model. In: IEEE International Conference on Advanced Learning Technologies (ICALT 2009), Riga.

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      Abstract

      Adaptive Hypermedia (AH) can offer a richer learning experience, tailored to students' needs.
      However, authoring of AH is complex. Several models and systems have been developed. However the
      adaptation that can be defined, is limited in terms of (re)-usability by educational authors. To simplify adaptive behaviour authoring, the solution considered most intuitive [7] is a visual environment. In this paper we specify the design of a visual authoring tool. We describe the implications this visual aspect has for the adaptation languages. This reflects lessons learnt from
      the experience of authoring project partners of the EU GRAPPLE project, hence is of interest to any designer or developer of reusable, general purpose adaptive e-learning system.

      Item Type: Conference or Workshop Item (Paper)
      Uncontrolled Keywords: ias adaptive hypermedia ah pa personalisation personalization adaptation
      Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
      Q Science > QA Mathematics > QA76 Computer software
      Divisions: Faculty of Science > Computer Science
      Depositing User: Jason Nurse
      Date Deposited: 25 Oct 2010 13:31
      Last Modified: 26 Jul 2011 12:16
      URI: http://eprints.dcs.warwick.ac.uk/id/eprint/148

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