Cognitive Modelling Approach to Diagnose Over- Simplification in Simulation- Based Training.

Autor: Goos, Gerhard, Hartmanis, Juris, van Leeuwen, Jan, Cerri, Stefano A., Gouardères, Guy, Paraguaçu, Fàbio, Lüdtke, Andreas, Möbus, Claus, Thole, Heinz-Jürgen
Zdroj: Intelligent Tutoring Systems (9783540437505); 2002, p496-506, 11p
Abstrakt: Simulation-based training has become a standard in operational knowledge training for supervisory control in safety-critical environments. But traditional simulators do not support mental model formation of automated systems though these systems are a dominant part in modern control systems. Recently various "intelligent components" for this support have been suggested. But these approaches neglect the dynamic character of mental models. They focus on building a normative model at the beginning of the training but do not consider how it evolves due to knowledge acquisition processes. In this paper we present a model-based approach to diagnose success-driven learning in simulator training and to predict dangerous over-simplifications. Our research focuses on pilot training for automated cockpits. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index