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Deep Tutor

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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

Dates: 2010–2013

Amount: $1,650,272