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Fresh Adaptive Scenarios for Training (FAST) Prototype Project
The US Air Force requires a fresh and adaptive approach to creating training scenarios that change with skills of students within air mobility and combat simulator platforms. The US Air Force uses training to acquire skills, develop proficiency, and evaluate performance. The Fresh Adaptive Scenarios for Training (FAST) effort will demonstrate an adaptive training software system that appropriately varies air mobility and combat training scenarios within specified bounds and continues to support training objectives while responding to individual student needs in a flight simulator. The varied scenarios will apply learning theory and game scenario development to enhance Air Force operational mission training.
One problem with using scripted scenarios to deliver training is the requirement to continually update the scenario to maintain relevance with the evolving mission set. Scripted scenarios are appropriate to reinforce initial acquisition of skills (i.e., knowledge, comprehension, application) but fail to challenge the experienced student. Stale scenarios instill habit patterns tuned to the simulation rather than critical thinking and situational awareness resulting in negative training for the higher levels of the cognitive domain (i.e., analysis, synthesis, evaluation). This solution shall develop a system to generate air mobility and combat training scenarios appropriate for inexperienced students gaining initial skills and building proficiency as well as for experienced students maintaining proficiency while customizing training scenarios to individual student weaknesses. Using these scenarios, demonstrate a software system that appropriately varies air mobility and combat training scenarios within specified realism bounds and continues to support training objectives. After this solution is demonstrated, the Air Force intends to apply this software solution to currently fielded training systems employed to train air mobility and combat operators.
A Request for White Papers, with an approximate 10 page or less response, is estimated to be released in mid-March.
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