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Semantic Technologies for the Enhancement of Case Based Learning



Title: Semantic Technologies for the Enhancement of Case Based Learning
Acronym: Ensemble
Duration: 1 October 2008 to 30 September 2011
Partners:
  • University of Cambridge
  • City University, London
Summary:

Education Researchers, Computer Scientists and Discipline Experts collaborate on the development of new web tools The project is one of eight currently funded by the joint ESRC and Engineering and Physical Sciences Research Council Technology Enhanced Learning Programme to explore the potential of the Semantic Web to support teaching and learning in complex, controversial and rapidly-evolving fields using case based learning.

The project is exploring both the nature and role of the cases around which learning is focused, and the role that emerging Semantic Web technologies and techniques can play in supporting this learning. The backend repository being built focuses on Fedora, with metadata schemas being developed to deal with a disparate range of object types and their relationships. Front ends will focus on piloting semantic web (such as Semantic Interoperability of Metadata and Information in unLike Environments: SIMILE) and Web 3.0 tools developed by the Massachusetts Institute of Technology and the University of Technology in Sydney.


UKDA contribution: The UKDA will lead four work packages delivering:
  • Fedora structures
  • metadata schema
  • data exemplars
  • testing or publishing and visualisation tools
UKDA contact: Louise Corti
Funders:
Links: Ensemble



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