Evaluation of the Effectiveness of Training Devices: Validation of the Predictive Model

Abstract

Two field experiments were performed, using training devices from the Armor Branch of Combat Arms, to provide empirical transfer data against which to validate a transfer of training model. Experiment 1 assessed the effectiveness of three Burst-on-Target (BOT) training devices for preparing AIT trainees to perform BOT on the 3A102B laser device. While some differences in the devices were noted, all proved to be reasonably effective trainers. Experiment 2 compared the effectiveness of two devices and three levels of training proficiency for preparing AIT trainees to perform a live-fire tracking task using the main gun of the M60A1 tank. The two devices were not particularly effective when compared to an untrained control group. However, the more highly trained trainees were more accurate than the untrained control group at the end of the live-fire task. The predictive model was employed to generate predictions of effectiveness for the training devices used in both experiments. These predictions were then compared to the actual effectiveness data obtained from the field experiments. These comparisons provided support for the model's predictions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1976
Accession Number
ADA040911

Entities

People

  • Andrew M. Rose
  • G. G. Boycan
  • George R. Wheaton
  • Paul W. Fingerman
  • Russell L. Leonard Jr.

Organizations

  • American Institutes for Research

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Army Training
  • Information Processing
  • Military Research
  • Military Training
  • Naval Training
  • Predictive Modeling
  • Psychology
  • Simulators
  • Social Sciences
  • Students
  • Systems Engineering
  • Task Performance And Analysis
  • Trainees
  • Training
  • Training Devices

Fields of Study

  • Psychology

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Military Science

Technology Areas

  • Directed Energy