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Computer-Based Simulations for Maintenance Training: Current ARI Research. Technical Report 544
REPORT

Abstract

Three research efforts that used computer-based simulations for maintenance training were in progress when this report was written: Game-Based Learning, which investigated the use of computer-based games to train electronics diagnostic skills; Human Performance in Fault Diagnosis Tasks, which evaluated the use of context-free tasks to train individuals to maintain actual equipment; and the Adaptive Computerized Training System, which applied artificial intelligence techniques to electronic troubleshooting training. These efforts had the common goal of teaching generalizable diagnostic skills rather than equipment-specific procedures. Preliminary findings suggest that each of the approaches can improve maintenance performance under certain conditions. Playing a logical game is an effective substitute for training in reading logic circuit diagrams, and practice in solving context-free diagnostic tasks enhances subsequent performance when diagnosing faults in equipment-specific simulations. It was also found that feasibility of the Adaptive Computerized Training System had been demonstrated, though the system had not yet received rigorous experimental evaluation. A 7-item reference list, 17 figures, and 1 table are included. (Author/LMM)

Citation

Knerr, B.W. Computer-Based Simulations for Maintenance Training: Current ARI Research. Technical Report 544. Retrieved November 13, 2019 from .

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