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Accurate appraisal of student performance during and after training is important for the proper functioning of the training system and realization of training goals. Training systems-and particularly flight training programs-rely heavily on expert assessors′ determination of student proficiency. Research is needed that will lead to improvements in the reliability and accuracy of these assessments. Recent research in decision making suggests that errors are frequently introduced because of the limited capabilities of people to integrate information and reach accurate conclusions. Mathematical decision aids appear to be helpful in reducing these errors. A decision aid using Wald's binomial probability ratio test and the sequential examination of student task performances was adapted to a training application. The decision aid required significantly less task trial information and predicted subsequent task performance more accurately than did expert assessors using the current assessment method. When students performed inconsistently and below the required flight task standards, instructors were more willing to declare proficiency than was the decision aid. This finding was especially apparent on the more difficult flight tasks.
Accurate appraisal of student performance during and after training is important for the proper functioning of the training system and realization of training goals. Training systems-and particularly flight training programs-rely heavily on expert assessors′ determination of student proficiency. Research is needed that will lead to improvements in the reliability and accuracy of these assessments. Recent research in decision making suggests that errors are frequently introduced because of the limited capabilities of people to integrate information and reach accurate conclusions. Mathematical decision aids appear to be helpful in reducing these errors. A decision aid using Wald's binomial probability ratio test and the sequential examination of student task performances was adapted to a training application. The decision aid required significantly less task trial information and predicted subsequent task performance more accurately than did expert assessors using the current assessment method. When students performed inconsistently and below the required flight task standards, instructors were more willing to declare proficiency than was the decision aid. This finding was especially apparent on the more difficult flight tasks.
The current focus on using simulators for sustainment training in the squadron or unit is targeted toward an expert user. Past research on the physiology of motor skills, retention, part tasking, the “crutch effect,” automaticity skills, “generative” expert knowledge and ethnographic information support a new simulator design. A comparison of the novice to expert relationship illustrate the differences in performance skill needs. Current part tasking design technology does not support the expert's performance needs. However, new hardware and software technology can provide a low cost, high fidelity solution to the design of unit training devices. The proposed alternative in simulator design is called a selective task trainer. The characteristics of the selective task trainer include high physical and functional fidelity. Significantly lower cost and transportability allow the selective task trainers to be used in multiple player systems for local or long haul networking. The major shift in design focus is from a single high fidelity simulator with supporting part task man-in-the-loop devices to a set of four or more high fidelity devices. This design can be implemented without incurring a significant increase in cost when compared to the current costs of high fidelity simulators. Stand alone or networked operation of a set of devices provides ample opportunity for squadron or unit personnel to sustain a higher level of performance skill within a more realistic multi-ship tactical environment.
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