Adaptive personalisation in self e-learning networks

  • Authors:

  • Kevin Keenoy;Alexandra Poulovassilis;George Papamarkos;Peter T. Wood;Vassilis Christophides;Aimilia Magkanaraki;Miltos Stratakis;Philippe Rigaux;Nicolas Spyratos

  • Affiliations:

  • School of Computer Science and Information Systems, Birkbeck, University of London;School of Computer Science and Information Systems, Birkbeck, University of London;School of Computer Science and Information Systems, Birkbeck, University of London;School of Computer Science and Information Systems, Birkbeck, University of London;Institute of Computer Science, Foundation for Research and Technology, Hellas;Institute of Computer Science, Foundation for Research and Technology, Hellas;Institute of Computer Science, Foundation for Research and Technology, Hellas;Laboratoire de Recherche en Informatique, Universite Paris-Sud;Laboratoire de Recherche en Informatique, Universite Paris-Sud

  • Venue:
  • KLGW'05 Proceedings of the 1st international Kaleidoscope Learning Grid Special Interest Group conference on Distributed e-Learning Environments
  • Year:
  • 2005

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Abstract

This paper presents some of the personalisation services designed for self e-learning networks in the SeLeNe project. A self e-learning network consists of web-based learning objects that have been made available to the network by its users, along with metadata descriptions of these learning objects and of the network's users. The architecture of the network is distributed and service-oriented. The personalisation facilities include: querying learning object descriptions to return results tailored towards users' individual goals and preferences; the ability to define views over the learning object metadata; facilities for defining new composite learning objects; and facilities for subscribing to personalised event and change notification services.