Small-unit Training for Adaptability and Resilience in Decision Making (STAR-DM)

Abstract

Over the past decade, the United States Marine Corps (USMC) has shifted its training focus towards enabling effective and efficient decision-making (DM) in its small unit leaders. Small unit leaders are increasingly required to make decisions with both tactical and strategic impact in the heat of the battle. Simulation-based training provides an opportunity for trainees to consolidate DM skills learned in the classroom and practice making decisions in stressful environments prior to entering resource-intensive live exercises. No collective and consolidated guidance, however, is available on how to utilize simulation to train small unit leader DM under stress. Guidance is needed in several key areas, including: 1) merging standards-based training with DM-based training, 2) inducing stress at levels that impact the decision process and force coping strategies, 3) integrating objective and quantitative assessments to understand performance deficiencies and 4) incorporating learning strategies that can enhance DM skills and increase resilience to stress. The Small-unit Training for Adaptability and Resilience in Decision-Making (STAR-DM) effort described herein addresses these needs by developing a simulation-based training approach which outlines methods for scenario design, stress induction, assessment, and learning strategy integration. There were three main goals of STAR-DM: 1. Develop and validate a generalizable training framework (including the overall model, measures, and learning strategies) to better train adaptable, stress-resilient small unit leader decision makers in simulation environments, 2. Implement the training framework into Marine Corps-specific simulation-based Squad Leader Training Packages (SLTPs) and validate their training effectiveness, and 3. Integrate solutions into STAR-DM assessment and debrief tools to make the training framework and SLTPs easily accessible to instructors.

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Document Details

Document Type
Technical Report
Publication Date
Jan 23, 2017
Accession Number
AD1032176

Entities

People

  • Brent Winslow
  • Christina Padron
  • Glenn Surpris
  • Gwendolyn Campbell
  • Meredith Carroll

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Cognitive Science
  • Cognitive Workload
  • Galvanic Skin Response
  • Health Services
  • Human Factors Engineering
  • Machine Learning
  • Medical Personnel
  • Military Research
  • Personnel Management
  • Psychology
  • Reliability
  • Stress (Physiology)
  • Students
  • Task Performance And Analysis
  • Virtual Reality
  • War Colleges

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Organizational Process Management (OPM).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.