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dc.contributor.advisorSullivan, Joseph
dc.contributor.advisorMcDowell, Perry
dc.contributor.authorMcBride, Ryan W.
dc.dateJune 2014
dc.date.accessioned2014-08-13T20:17:50Z
dc.date.available2014-08-13T20:17:50Z
dc.date.issued2014-06
dc.identifier.urihttp://hdl.handle.net/10945/42680
dc.description.abstractThe Office of Naval Research Future Naval Capabilities, the Defense Technology Area Plan from 2005 and the Department of Defense Science and Technology Priorities for FY13-17 all share a focus on systems to promote warfighter performance. The goal of these systems is to improve effectiveness across a range of multiple missions, while providing training techniques that enhance fundamental cognitive abilities, institute techniques to reduce training time and training costs, maximize the training impact, as well as to provide tools and techniques to achieve routine and engaging scenario-based training. Intelligent tutoring systems (ITS) can address these goals. This work describes an ITS created for use in training naval surface warfare officers (SWOs) in air defense. A description of the learning theories applied in the development of the system, as well as a brief history of ITSs and the methodology that was utilized in developing this ITS is provided. A TCP/IP connection was established between this tutor and TAO Sandbox, a simulator utilized by Surface Warfare Officer School to train SWOs. Through a designed experiment, it was demonstrated that this ITS provides statistically significant training to its intended audience.en_US
dc.description.urihttp://archive.org/details/utilizingnintell1094542680
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleUtilizing an intelligent tutoring system in tactical action officer sandboxen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science
dc.subject.authorIntelligent Tutoring Systemen_US
dc.subject.authorITSen_US
dc.subject.authorTactical Action Officeren_US
dc.subject.authorTAO Sandboxen_US
dc.subject.authorCognitive Learning Theoriesen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Modeling, Virtual Environments and Simulationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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