Latent Semantic Analysis for Assessment and Training of Knowledge and Competencies in Air Force Intelligence Organizations

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
F33615-02-M-6009
Agency Tracking Number:
012HE-0071
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
APTIMA, INC.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Jared Freeman
Dir of Research Division
(202) 842-1548
freeman@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institution:
n/a
Abstract
A highly automated approach is proposed to measure learning and performance of cognitive tasks in Air Force intelligence organizations. We propose to identify key knowledge requirements, Mission Essential Competencies, and training needs in arepresentative intelligence domain; develop a Latent Semantic Analysis (LSA) model of domain knowledge with which we will assess expertise and diagnose specific knowledge deficits among individuals and teams; devise training strategies that take advantageof automated assessment capabilities; and illustrate them ? along with assessment and knowledge acquisition techniques ? in a web-based conceptual prototype. Work in this and subsequent SBIR Phases should produce: reliable, valid, and non-invasivemeasurement and diagnosis of knowledge and competencies in the CAOC or DCGS; improved selection, training, and real-time decision support; improved planning of new intelligence missions supported by a topically organized knowledge base of prior missions.

* information listed above is at the time of submission.

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