Institute for Intelligent Systems

 
Projects: GURU

PI: Andrew Olney
Co-PIs: Natalie Person, Sidney D'Mello, Art Graesser

We know that students benefit from individualized training, but tutors can vary widely in ability and experience. How can IIS level the playing field so that automated tutors are consistently excellent?

Guru, our second-generation animated tutor, stems from AutoTutor, but uses what we’ve learned about expert tutoring strategies and dialogue for a more effective tutoring experience.

Guru seeks to improve educational outcomes on the Tennessee Gateway Science Test that high school students must pass to receive a diploma.

We focus on maintaining student motivation, and we are collecting self-report, eyetracking, and other behavioral measures to make interacting with Guru as enjoyable as possible.

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Past Funding:

  • Guru: A Computer Tutor that Models Expert Human Tutors. Funding Agency: IES.  $1,858,176

Selected Publications:

  • D'Mello, S., Olney, A., & Person, N. (2010). Mining collaborative patterns in tutorial dialogues. Journal of Educational Data Mining, 2(1), 1–37.
  • Olney, A. M., Graesser, A. C., & Person, N. K. (2010). Tutorial dialogue in natural language. In R. Nkambou, R. Mizoguchi & J. Bourdeau (Eds.), Advances in intelligent tutoring systems (pp. 181–206). Berlin, Germany: Springer-Verlag.
  • Graesser, A. C., Conley, M., & Olney, A. M. (2011). Intelligent tutoring systems. In K. R. Harris, S. Graham, & T. Urdan (Eds.), APA handbook of educational psychology, Volume 3: Application to learning and teaching. Washington, DC: American Psychological Association.

 

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Last Updated: 7/1/13