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dc.contributor.advisorLee, Yuh-Jeng
dc.contributor.authorCampbell, Larry W.
dc.dateJune 1990
dc.date.accessioned2013-02-15T23:11:32Z
dc.date.available2013-02-15T23:11:32Z
dc.date.issued1990-06
dc.identifier.urihttp://hdl.handle.net/10945/27723
dc.description.abstractVisual aircraft recognition (VACR) is a critical skill for U.S. Army Short Range Air Defense (SHORAD) soldiers. It is the most reliable means of identifying aircraft, however VACR skills are not easy to teach or learn, and once learned they are highly degradable. The numerous training aids that exist to help units train soldiers require qualified instructors who are not always available. Also, the varying degrees of proficiency among soldiers make group training less than ideal. In an attempt to alleviate the problems in most VASC training programs, an intelligent tutor system has been developed to teach VACR in accordance with the Wings, Engine, Fuselage, Tail (WEFT) cognitive model. The Aircraft Recognition Tutor is a graphics based, object oriented instructional program that teaches, reviews and tests VACR skills at a level appropriate to the student. The tutor adaptively coaches the student from the novice level, through the intermediate level, to the expert level. The tutor was provided to two U.S. Army Air Defense Battalions for testing and evaluation. The six month implementation, testing, and evaluation process demonstrated that, using existing technology in Computer Science and Artificial Intelligence, useful training tools could be developed quickly and inexpensively for deployment on existing computers in field.en_US
dc.description.urihttp://archive.org/details/anintelligenttut1094527723
dc.format.extentv, 166 p. ill.en_US
dc.languageen_US
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.subject.lcshNavigation (Aeronautics)en_US
dc.subject.lcshComputer programmingen_US
dc.subject.lcshSoftwareen_US
dc.subject.lcshIntelligent tutoring systemsen_US
dc.subject.lcshArtificial intelligenceen_US
dc.subject.lcshComputer-assisted instruction.en_US
dc.titleAn intelligent tutor system for visual aircraft recognitionen_US
dc.typeThesisen_US
dc.contributor.secondreaderShing, Man-Tak
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Computer Science
dc.subject.authorIntelligent tutoring systemen_US
dc.subject.authorintelligent computer aided instructionen_US
dc.subject.authorvisual aircraft recognitionen_US
dc.description.serviceCaptain, United States Armyen_US
etd.thesisdegree.nameM.S. in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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