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

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.