Student and expert modelling for simulation-based training: A cost effective framework

  • Kalina Yacef
  • Leila Alem
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1086)

Abstract

The complexity of student models and expert models is often an obstacle in Intelligent Tutoring Systems research, particularly in the field of simulation-based training where the learner's actions are less contained and can therefore lead to unpredictable paths. In this paper we propose a framework for student modelling and expert modelling in the context of the design of a simulation-based learning system for training of operational skills which is incremental and cost effective as it allows the evaluation of student performance as well as the evaluation of his knowledge in certain aspects of the air traffic control activity. This framework is currently used in the design of an intelligent simulation-based training system for air traffic controllers.

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Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Kalina Yacef
    • 1
    • 2
    • 3
  • Leila Alem
    • 2
    • 3
  1. 1.Thomson Radar Australia Corp. & Lab. d'Intelligence Artificielle de Paris 5France
  2. 2.CSIRO DITNorth RydeAustralia
  3. 3.CRC-IDSCarltonAustralia

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