Interactive Authoring Support for Adaptive Educational Systems

  • Authors:

  • Peter Brusilovsky;Sergey Sosnovsky;Michael Yudelson;Girish Chavan

  • Affiliations:

  • School of Information Sciences, University of Pittsburgh, 135 North Bellefield Ave. Pittsburgh, PA 15260, USA, {peterb, sas15, mvy3} @pitt.edu, chavang@upmc.edu;School of Information Sciences, University of Pittsburgh, 135 North Bellefield Ave. Pittsburgh, PA 15260, USA, {peterb, sas15, mvy3} @pitt.edu, chavang@upmc.edu;School of Information Sciences, University of Pittsburgh, 135 North Bellefield Ave. Pittsburgh, PA 15260, USA, {peterb, sas15, mvy3} @pitt.edu, chavang@upmc.edu;School of Information Sciences, University of Pittsburgh, 135 North Bellefield Ave. Pittsburgh, PA 15260, USA, {peterb, sas15, mvy3} @pitt.edu, chavang@upmc.edu

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

A well-known challenge of adaptive educational systems is the need to develop intelligent content, which is very time and expertise consuming. In traditional approaches a teacher is kept at a distance from intelligent authoring. This paper advocates the involvement of teachers in creating intelligent content. We are presenting an approach to the development of intelligent content as well as an authoring tool for teachers that support our approach. This approach has two main stages: elicitation of concepts from content elements and the identification of a prerequisite/outcome structure for the course. The resulting sequence of adaptive activities reflects the author's view of the course's organization. The developed tool facilitates concept elicitation in two ways: it provides an author with an automatic indexing component and also allows her/him to edit the index using the domain ontology as an authoring map.