The ShadowBox Approach to Cognitive Skills Training

Author:

Klein Gary1,Borders Joseph2

Affiliation:

1. MacroCognition LLC

2. ShadowBox LLC

Abstract

Unlike behavioral skills training, cognitive skills training attempts to impart concepts that typically depend on tacit knowledge. Subject-matter experts (SMEs) often deliver cognitive training, but SMEs are expensive and in short supply, causing a training bottleneck. Recently, Hintze developed the ShadowBox method to overcome this limitation. As part of the Defense Advanced Research Projects Agency’s Social Strategic Interaction Modules, Klein, Hintze, and Saab adapted the ShadowBox approach to train large numbers of trainees without relying on expert facilitators. As part of this program, we used the ShadowBox approach to train warfighters on the social cognitive skills needed to successfully manage civilian encounters without creating hostility or resentment. ShadowBox training was evaluated in two studies. Evaluation 1 provided 3 hr of nonfacilitated, paper-based training to Marines at Camp Pendleton and Camp Lejeune ( N = 59), and improved performance (i.e., match to the SME rankings) by 28% compared to a control group. Evaluation 2 provided 1 hr of nonfacilitated training, administered via Android tablet, to soldiers at Fort Benning ( N = 30) and improved performance by 21%. These results, both statistically significant, suggest ways to use scenario-based training to develop cognitive skills in the military.

Publisher

SAGE Publications

Subject

Applied Psychology,Engineering (miscellaneous),Computer Science Applications,Human Factors and Ergonomics

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3