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The researchers are developing an innovative intelligent tutoring system that is intended to improve student outcomes in science relative to current state-of-the art tutoring systems. DeepTutor’s hallmark features are deep natural language and discourse processing, advanced tutoring strategies targeting frequent illusions in tutoring, and advanced instructional strategies in the form of learning progressions.
PI: Vasile Rus
Co-PIs: Art Graesser, Don Franceschetti, Anna Bargagliotti, Mark Conley
Grant Name: DeepTutor: An Intelligent Tutoring System Based on Deep Language and Discourse Processing and Advanced Tutoring Strategies
Grant Number: R305A100875
Funding Agency: IES