Pedagogically Adaptive Scenarios for Training – Automated! (PAST-A!)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-6898
Agency Tracking Number: F081-013-1093
Amount: $99,970.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: AF081-013
Solicitation Number: 2008.1
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, 48105
DUNS: 009485124
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lisa Holt
 Research Scientist
 (734) 327-8000
Business Contact
 James Rosbe
Title: President
Phone: (734) 327-8000
Research Institution
Soar Technology proposes to build PAST-A! (Pedagogically Adaptive Scenarios for Training – Automated!), a tool to generate and deliver training scenarios that not only target specific training objectives, but can provide trainees with the deliberate practice needed to support skill acquisition. PAST-A! enables trainers to create scenarios by specifying desired training characteristics and scenario requirements. Scenarios will then be generated from a library of existing engagements encoded using an engagement markup language (EML) that specifies important training meta data, mission characteristics, Distributed Mission Operations (DMO) configurations, and scenario execution scripts. PAST-A! will not only generate scenarios of desired complexity that satisfy a given set of training requirements, it will also generate pedagogically appropriate branch points and monitor trainee performance to help trainers and operators make instructionally sound adaptations during scenario execution. In addition, configuration files for the generated scenarios will be output to the DMO, automating the initialization of scenarios for the operators. PAST-A! will include an expert diagnostician agent to monitor trainee performance during scenario execution, providing both instructors and operators with real-time assessment information, thus facilitating real-time scenario adaptation (through choice of scenario branches or other real-time changes).

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

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