NICOP - Stress-adaptive training design for accelerated learning and improved performance in high-stress situations

Abstract

TECHNICAL: One goal of training is to allow students to practice high-stress tasks in a low-risk setting. However, students should still ideally experience stress in order to inoculate them to the detrimental effects of stress in the operational environment. A great deal of research has sought to measure stress in near-real-time using physiology, subjective surveys, and system performance. This research seeks to use those measures of stress and adapt the training environment and scenarios to ensure that an optimal level of stress is maintained to keep students in what is called the Zone of Proximal Development - a level of arousal where students are alert and learning, but not over-stimulated. By integrating different measures to model student stress and tweak training scenario parameters in response to students, training time can result in increased learning and retention. RELEVANCE: Results from this project can be used to advance the field of adult learning, especially in stressful domains such as firefighting, medicine/surgery, and military operations. The Navy~s training demands are consistently increasing, and techniques and technologies for improving learning efficiency and student throughput will enable better student training overall. ONR/NRE/DOD COORDINATION: This effort has been reviewed by Dr. Julie Stark (ONRG-London) and LCDR Brent Olde (ONR34). OUTCOME: The outcome of this program will be several papers and presentations from each of the five work packages and coordinating with ONR Code 30 and 34 program managers who are interested in training and student modeling

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 23, 2016
Source ID
N629091612240

Entities

People

  • Martin Castor

Organizations

  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Education

Readers

  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.