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ONR Electronics Tutor


Drawing together the best available learning resources, including intelligent tutoring systems, natural language interaction, point and query interfaces, and conventional texts, ElectronixTutor will provide the most advanced electronic engineering digital learning platform available. Informed by research in learning theory and artificial intelligence, the system presents a logical progression through basic electronics that adapts to the learner at a fine-grained level. ElectronixTutor recommends topics based on the learner's knowledge and mastery, constantly challenging without overwhelming. It has begun live user testing in conjunction with university-level courses. 

PI: Art Graesser [University of Memphis]
Project Name: Integration of Intelligent Tutoring Systems for Electronics
Dates: 2015-2018
Funding Agency: Office of Naval Research
Amount: $3,800,000