AutoTutor Related Publications

Sottilare, R., Graesser, A.C., Hu, X., & Goldberg, B. (2014). Design Recommendations for Intelligent Tutoring Systems: Adaptive Instructional Strategies.
https://www.gifttutoring.org/projects/gift/documents
Volume 1: https://www.gifttutoring.org/documents/42
Volume 2: https://www.gifttutoring.org/documents/44

Graesser, A. C., & Li, H. (2013). How might comprehension deficits be explained by the constraints of text and multilevel discourse processes?
https://sites.google.com/site/graesserart/publications/2013-2014

Graesser, A. C., Millis, K., D’Mello, S. K., & Hu, X (in press). Conversational agents can help humans identify flaws in the science reported in digital media.
https://sites.google.com/site/graesserart/publications/2013-2014

Graesser, A.C., Li, H., and Feng, S. (in press). Constructing inferences in naturalistic reading contexts.
https://sites.google.com/site/graesserart/publications/2015-2016

Brawner, K., and Graesser, A. (2014). Natural language, discourse, and conversational dialogues within intelligent tutoring systems: A review.
https://sites.google.com/site/graesserart/publications/2013-2014

Graesser, A. C., Li, H., & Forsyth, C. (2014). Learning by communicating in natural language with conversational agents.
https://sites.google.com/site/graesserart/publications/2013-2014

Graesser, A. C., McNamara, D. S., Cai, Z., Conley, M., Li, H., & Pennebaker, J. (2014). Coh-Metrix measures text characteristics at multiple levels of language and discourse.
https://sites.google.com/site/graesserart/publications/2013-2014