Towards Accessing Disparate Educational Data in a Single, Unified Manner

  • Authors:
  • Erica Melis;Bruce M. Mclaren;Silvana Solomon

  • Affiliations:
  • German Research Institute for Artificial Intelligence, Saarbrücken, Germany 66123;German Research Institute for Artificial Intelligence, Saarbrücken, Germany 66123;German Research Institute for Artificial Intelligence, Saarbrücken, Germany 66123

  • Venue:
  • EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
  • Year:
  • 2008

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Abstract

Educational researchers need to exchange and compare their learner-interaction data in order to benefit the learning science community as a whole. In order to support this, we propose accessing data in different repositories via a mediator componentthat maps generic queries to the specific format of a target repository. This approach is supported by a common ontology, and we illustrate the beginnings of such an ontology. We are in the early stages of developing this concept but show its promise by discussing how it can be applied to repositories of disparate educational data, such as collaborative learning interactions and cognitive tutor data.