Training Decisions System: Development of the Task Characteristics Subsystem

Perrin, Bruce M.; Knight, John R.; Mitchell, Jimmy L.; Vaughan, David S.; Yadrick, Robert M.

doi:10.1037/e517952006-001

Cited by 2 publications

(1 citation statement)

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“…Proficiency gains from the use of formal training methods, such as classroom lecture or supervised task performance in a laboratory, are represented as a learning curve for a given set oftasks within the occupation. Recognizing that a given training method generally has a point of diminishing returns, statistical models fit to SMEs' estimates ofproficiency gains under varying allocations ofthese methods consistently produce the expected, negatively accelerated, learning curves (Bennett & Perrin, 1989;Perrin et al, 1988).…”

Section: Discussionmentioning

confidence: 99%

A methodology to facilitate occupational task grouping: Meeting the demands of training analysis and planning

Perrin

Vaughan

Mitchell

et al. 1998

Behavior Research Methods, Instruments, & Computers

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Methods for grouping occupational tasks are required to support a broad range of personnel actions and organizational planning activities. Having subject matter experts sort tasks into groups is the only methodology generally recognized for these purposes. For many applications, however, and training in particular, analyses that cover large areas of an organization may be required. For such uses, manual sorting is costly and may be infeasible. A new method, based on statistical clustering using task coperformance, is described. Results indicate that this method can replicate much of the structure of the experts' groups and so can be used to facilitate task grouping. Implications ofthis new approach are discussed.

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Section: Discussionmentioning

confidence: 99%