Tailoring Training for Disparately Skilled Participants in Large Scale Training Exercises

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,941.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
N68335-09-C-0352
Award Id:
90265
Agency Tracking Number:
N09A-007-0148
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1801 South Riverside Drive, Iowa City Municipal Airport, Iowa City, IA, 52240
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
625152140
Principal Investigator:
Thomas Schnell
Director
(319) 631-4445
tschnell@advancedinfoneering.com
Business Contact:
A Russ Schmeiser
Chief Financial Officer
(319) 337-7059
rschmeiser@advancedinfoneering.com
Research Institution:
University of Iowa
Thomas Schnell
Operator Performance Lab (OPL)
3131 Seamans Center
Iowa City, IA, 52242 1527
(319) 631-4445
Nonprofit college or university
Abstract
Large scale training exercises involve many trainees at various stages of their training maturity and at various levels of skill. Problems arise in large scale exercises when less mature or lower skilled trainees are exposed to training scenarios that are too advanced or too complex for their level of training maturity. These trainees are more likely to fail the mission they are given in the training scenario, thus reducing the benefits of training and leading to frustration in the trainee. We propose to develop a tool called SKATE (Skill Appropriate Training Environment) that will quantify skill levels of trainees, teams, or units, generate skill appropriate training objectives, modulate the difficulty of training scenarios, and provide a continuous skill-level assessment and scenario adaptation of disparately skilled trainees, teams, and units in a large scale training exercise while maintaining the overall integrity and realism of the mission itself. SKATE will evaluate the skill level of an individual, team, or unit level participants and generate a list of skill-appropriate training scenario components that can be configured into the exercise so as to fulfill the training objectives of the participants. SKATE will be designed on the basis of relational data-mining technology.

* information listed above is at the time of submission.

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