Managing and interpreting student actions in an intelligent simulation training system

Abstract

The main objective of the ISTS project is to develop a simulation-based training system that conducts content training without the human instructor being continuously involved. A prototype for Air Traffic Control (ATC) has been developed by isolating the domain dependent expertise from the generic system. The prototype is modularized to be easily modified, expanded, or adapted to other domains. In order to evaluate a student's performance, a simulation-based training system must be able to accurately interpret student actions. This paper will present a generic paradigm for managing and interpreting the effects of student inputs for an Intelligent Simulation Training System (ISTS). The Control module is the manager of the ISTS. It is responsible for coordinating the communication between the simulation and the rest of the system. It is also responsible for deciding when and which modules to activate based on a set of prioritized facts. The Interpreter module determines the effects of the student input to the simulation by comparing snapshots of the simulation before and after a student input is executed. It also checks the simulation for late events.