Scalability and Reusability Methods for Intelligent Tutors and Job Performance Aids for the Maintenance of Reduced Manning Ships
Department of Defense
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215 Parkway North, P.O. Box 280, Waterford, CT, 06385
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AbstractThe Phase II work plan will apply our Phase I research to design, develop, test, install, and demonstrate a prototype Agent-based Performance Support and Training System (APSTS) that will move the (Gas Turbine) maintenance person seamlessly betweenadaptive IMI intelligent tutoring environments to support effective and efficient maintenance completion. The APSTS prototype will be implemented and demonstrated within the Main Propulsion Gas Turbine environment. The Phase II prototype will employAPSTS technology to deliver content developed to support a discrete set of the learning objectives identified during Phase I. Sonalysts' Learner Model and Instructional Expert software components resident in InTrainTM and ExpertTrainTM adaptive trainingproducts, and the Instructional Manager and other agents currently being developed for use in the Intelligent Agents (IAGENTS) program will be leveraged to support development of the Phase II prototype. Interfaces between Sonalysts SW components and NavyCBM and LMS systems will be demonstrated to show the connection between training and performance support. The research conducted under Phase I will contribute significantly to the development of a fully functional prototype APSTS that will supportjust-in-time maintenance training and provide intelligent electronic performance support. The technology developed under this SBIR topic can be employed in future naval ships (DD(X), CVN 21, etc.), and within legacy platforms. In addition, thistechnology can be applied to address a wide range of other military and civilian training requirements where both just-in-time training and electronic performance support are essential. Domains that might be addressed by this technology include allmilitary and federal equipment maintainers as well as civilian industry equipment maintainers.
* information listed above is at the time of submission.