Job Performance Aid Selection Algorithm: Development and Application

Abstract

Abstract : The purpose of the study was to develop an algorithm for selecting JPA format and content that considers training, media, and work-center job designs. The primary objectives of the development were (1) to identify JPA research and technology gaps, (2) to identify candidate JPA systems for Navy personnel, maintenance, and training trade-off analysis, (3) to select specific JPA systems for test and evaluation, and (4) to identify complementary training levels for selected JPA systems. A nine-step selection algorithm was developed to identify the most appropriate JPA-training combination for the JPA system level of a tri-level conceptual organization of JPA technologies. The nine decision steps were based on seven primary decision criteria (aptitude, job experience, task type, task complexity, equipment type, equipment complexity, and degree of proceduralization) established in the literature as critical to on-the-job performance. A graphic representation of the decision steps and amplifying guidelines for exercising the algorithm were developed and applied to three performance-aiding scenarios and two navy ratings. The selection algorithm was used to identify candidate JPA systems for each skill level of the Integrated Personnel System (IPS) model (Blanchard & Laabs, 1978) and to examine progressive aiding/training requirements for the sonar technician and fire control technician ratings. The algorithm was used to identify major jpa technology gaps in hybrid aiding and complex digital electronics and in defining limitations for the use of JPAs by low-aptitude personnel on troubleshooting tasks.