Accelerated Learning in Simulation-based Training (A-LIST)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-C-0455
Agency Tracking Number: O2-0954
Amount: $744,618.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2008
Solicitation Topic Code: OSD08-CR5
Solicitation Number: 2008.3
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, -
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jared Freeman
 Sr. VP of Research
 (202) 552-6116
 freeman@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Email: clancy@aptima.com
Research Institution
 Stub
Abstract
Across the services, warfighters are expected to rapidly master new knowledge and skills, spanning wide variety of domains, from motor to cognitive. Traditional training systems generally lack the capability to apply adaptive training strategies that might accelerated learning and develop expertise that endures. While, a number of DoD sponsored programs, including Augmented Cognition and Human Performance Training and Education, have made significant contributions in applying neurophysiological and physiological measures to guide training and education, with the end goal of making learning efficient (Luu, Tucker, and Stripling, 2007; Bolton, Campbell, & Schmorrow, 2007), there is still a need for a common, flexible platform for integrating training, adaptation models, and simulators. Aptima proposes to develop Accelerated Learning in Simulation-based Training (A-LIST) to increase training effectiveness and learning efficiency by adapting training based on measured assessments of the state of individuals and teams. A-LIST will integrate and synchronize measurements from neurophysiological (e.g., EEG), physiological (e.g., eye tracking), and performance measurement (e.g., accuracy of target-weapons pairing) systems and provide real-time assessments of learner state to drive training strategy selection. A-LIST will flexibly integrate with various measurement technologies and simulation and training environments.

* Information listed above is at the time of submission. *

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