Development of a training effects algorithm for modeling the impact of training in IMPRINT for 21st century Air Force needs

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  • Venue:
  • Proceedings of the 2011 Military Modeling & Simulation Symposium
  • Year:
  • 2011

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Abstract

The general aim of this project was to employ a model-based approach for aligning instructional strategies with technical task performance. The modeling system used in this effort was the Improved Performance Research Integration Tool (IMPRINT). IMPRINT has been used successfully by the United States Military to predict human performance in complex and dynamic operational environments. At the outset of this project, however, IMPRINT did not include a training component to determine the effects of instructional approaches on task performance within various learning taxonomic domains. In order to achieve the project goal, the project team carried out an extensive literature review on the effects of training on technical task performance and developed a training effects algorithm based on the meta-analysis of relevant studies. The training effects algorithm acts as a plug-in to the IMPRINT system and has been shown to effectively model training effects in a technical mission.