Content Personalization for Inclusive Education through Model-Driven Engineering

  • Christopher Power
  • Richard Paige
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5616)


Content personalization of e-learning resources has the opportunity to encourage self-directed learning and collaborative activities between students with varying cultures and backgrounds. In the case of students with disabilities, it also has the potential to provide equality of access to learning resources that can be presented in formats that are compatible with a student’s needs and preferences. In this paper, a framework is presented for doing this type of content personalization for students with disabilities using Model-Driven Engineering tools and techniques.


Unify Modeling Language User Preference Digital Medium Blended Learning Content Personalization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christopher Power
    • 1
  • Richard Paige
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK

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