Optimization of Simulation-Based Training Systems: A Review of Evaluations andValidation of Rule Bases

摘要

The Optimization of Simulation-Based Training Systems (OSBATS) was designed toprovide engineers involved in the concept formulation process for simulators and training devices, a tool with which to consider and tradeoff alternative features. OSBATS would enable engineers to tradeoff fidelity and instructional features in the context of a training strategy to obtain designs that minimize cost for desired performance levels. OSBATS consists of five modules: a simulator decision module, a training device media selection module, an instructional features module, a fidelity optimization module, and a resource allocation module. The heart of the OSBATS model resides in the expert system rule bases used in the instructional features and fidelity optimization modules to make decisions about instructional and fidelity features to be incorporated in the simulator designs. This report presents an overview of the OSBATS model and prototype software and summarizes efforts to validate its utility. An effort to validate the instructional features and fidelity rule bases is described in detail. The approach used to validate the rule bases was to select example tasks and use the OSBATS rule to produce recommendations for fidelity levels and instructional features. Training system, Training system models, Optimization, Media selection, Fidelity, instructional features.