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AutoTutor is a web-based computer tutor architecture that simulates the dialog moves
of effective human tutors.
Developing AutoTutor for Computer Literacy and Physics
- Funding Agency: NSF. $1,274,075.
Simulating Tutors with Natural Dialog and Pedagogical Strategies
- Funding Agency: NSF. $900,000.
Why2000: A Tutor that Teaches Mental Models Using Natural Language Dialogs
- Funding Agency: ONR. $1,258,875.
Significant Publications:
- Graesser, A. C., Wiemer-Hastings, K., Wiemer-Hastings, P., Kreuz, R., & the Tutoring
Research Group. (1999). AutoTutor: A simulation of a human tutor. Cognitive Systems Research, 1, 35–51.
- Graesser, A. C., Person, N., Harter, D., & the Tutoring Research Group. (2001). Teaching
tactics and dialog in AutoTutor. International Journal of Artifi cial Intelligence in Education, 12, 257–279.
- Graesser, A. C., VanLehn, K., Rose, C., Jordan, P., & Harter, D. (2001). Intelligent
tutoring systems with conversational dialogue.AI Magazine, 22, 39–51.
- >Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H., Ventura, M., Olney, A., &
Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, and Computers, 36, 180–193.
- VanLehn, K., Graesser, A. C., Jackson, G. T., Jordan, P., Olney, A., & Rose, C. P.
(2007). When are tutorial dialogues more eff ective than reading? Cognitive Science, 31, 3–62.
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