Arthur C. Graesser
PROFESSOR, EXPERIMENTAL (COGNITIVE)...Learn more
AutoTutor
AutoTutor is an intelligent tutoring system that holds conversations with the human in natural language. AutoTutor has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). Three main research areas are central to AutoTutor: human-inspired tutoring strategies, pedagogical agents, and technology that supports natural language tutoring... Learn more
Xiangen Hu
PROFESSOR, EXPERIMENTAL (COGNITIVE)...Learn more
Vasile Rus
Professor, Computer ScienceLearn more
What we do
As discussed in Graesser (2011) and Nye, Graesser, and Hu (2014), over a dozen systems have evolved from the original development of AutoTutor. Among these are AutoMentor, AutoTutor-3D, AutoTutor-Affect-Sensitive, AutoTutor-Lite, DeepTutor, GnuTutor, GuruTutor, HURA-Adviser, iDRIVE, MetaTutor, Operation-ARIES, and Adult Literacy Tutor (CSAL), Electronic tutor.
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