SSTR Training Adaptively Based on Lessons from Experience (STABLE)

In response to recent events, the U.S. has recognized that it must devote more resources to Stability, Security, Transition and Reconstruction (SSTR) operations. Such operations cannot be carried out by any one department, agency, or organization; they require coordinated efforts within and outside of government. It is a major challenge to get myriad specialists to work effectively together across organizational boundaries, often with little individual experience, and little time to prepare. What is needed is just-in-time experience-based training, informed by the lessons of past SSTR success and failures. Stottler Henke proposes to develop a web-based learning environment for SSTR Training Adaptively Based on Lessons from Experience (STABLE). We will combine team expertise in scenario-based intelligent tutoring systems, electronic case libraries of lessons learned, web-based distance learning, and SSTR operations to produce a novel, effective, and efficient solution. STABLE will include a suite of authoring tools supporting extension of the interlinked training scenario and lessons learned libraries. Overall, it will lower the costs of raising awareness in those tapped for roles in SSTR operations. During Phase I we will gather requirements, identify SSTR cases, lessons, and scenarios, produce a proof-of-concept prototype, and develop a detailed Phase II design and work plan.