Scenario Engineering for Assessment of Multi-participant Adaptive Training Environment(SEAMATE)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$742,235.00
Award Year:
2011
Program:
STTR
Phase:
Phase II
Contract:
N68335-11-C-0202
Agency Tracking Number:
N09A-007-0367
Solicitation Year:
2009
Solicitation Topic Code:
N09-T007
Solicitation Number:
2009.A
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Webb Stacy
Vice President, Technolog
(781) 496-2437
wstacy@aptima.com
Business Contact:
Thomas McKenna
Chief Financial Officer
(781) 496-2443
mckenna@aptima.com
Research Institution:
The University of Oklahoma
Mary E Sewell
Office of Research Services
201 David L. Boren Blvd, Suite
Norman, OK, 73019-
(405) 325-4808
Nonprofit college or university
Abstract
Large Scale Training exercises, such as the Fleet Synthetic Training Joint (FST-J), demand extensive resources and effective planning. Prioritization of training events, alone, cannot guarantee that the training objectives for every trainee can be met; particularly in environments where participants are performing different roles and are disparately skilled. A new solution is needed to manage the training experiences of all participants. Aptima and the University of Oklahoma propose to continue the investigation of Scenario Engineering for Assessment of Multi-participant Adaptive Training Environment (SEAMATE). In SEAMATE Phase II we will develop the system designed in Phase I. That system uses Multidimensional Item Response Theory to calibrate the difficulty of instructional items in scenarios. Then, based on trainee performance, SEAMATE schedules subsequent instructional items into the scenario. Two of the key components of this approach (e.g., scenario item scheduling and performance measurement) leverage existing technologies (e.g., PRESTO and A-Measure) resulting, in part, from other SBIR efforts. In Phase II, SEAMATE technology will be applied to Unmanned Aerial System scenarios and trainees.

* information listed above is at the time of submission.

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