Identifying the limits of training system effectiveness through taxonomies of human performance

Abstract

Given a specific training problem, how much is known about choosing the best mix of technologies and methods that are both cost effective and that also meet given ? Beyond technical specifications of systems and components, a theoretically thorough method is still not used for identifying training requirements and how to best fit technology to meet those requirements. What is needed is a way to ‘bound’ training systems so that it can be clearly stated what they are and are not best used for. What are their ? What are their ? The method described in this paper is based on a well-developed taxonomy of human performance. It is linked to conventional task analysis techniques to show how to identify what tasks a training system can be used for. An example is used to illustrate the method, but it has been applied to many training simulators. The process is meant to objectively link training requirements to technologies in a repeatable fashion such that training system builders, buyers and users can better understand the limits of their system.