A learning environment based on multiple qualitative models

  • Julie -Ann Sime
  • Roy Leitch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 608)


This paper describes an intelligent learning environment based on multiple models, both quantitative and qualitative, of a complex physical system. A trainee can learn the use of multiple models, in reasoning about the behaviour of the system, through a process of cognitive apprenticeship. The trainee can solve problems or observe the expert demonstrate problem solving using multiple models, switching between them as and when necessary. The dimensions along which these models vary are defined and example training scenarios provided.


Multiple Model Qualitative Model Intelligent Tutor System Mental Workload Training Objective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Julie -Ann Sime
    • 1
  • Roy Leitch
    • 1
  1. 1.Intelligent Automation LaboratoryHeriot-Watt UniversityEdinburghScotland, UK

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