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Development of a Training Effects Algorithm for Modeling the Impact of Training in IMPRINT for 21st Century Air Force Needs

机译:开发用于模拟21世纪空军需求的IMPRINT训练效果的训练效果算法的开发

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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.
机译:该项目的总体目标是采用基于模型的方法来使教学策略与技术任务绩效保持一致。在这项工作中使用的建模系统是改进的性能研究集成工具(IMPRINT)。 IMPRINT已被美国军方成功用于预测复杂和动态操作环境中的人员绩效。但是,在该项目开始时,IMPRINT没有包括培训组件来确定教学方法对各种学习分类领域内任务绩效的影响。为了实现项目目标,项目团队对培训对技术任务绩效的影响进行了广泛的文献综述,并在相关研究的荟萃分析的基础上开发了培训效果算法。训练效果算法可作为IMPRINT系统的插件,并且已被证明可以有效地模拟技术任务中的训练效果。

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