Arthur C. Graesser, Ph.D.

PHONE 901.678.4857
FAX 901.678.2579

Psychology Building, Room 202, FedEx Institute of Technology, Room 403C

Ph.D., University of California, San Diego
B.A., Florida State University

Research Interests
  • Cognitive Science
  • Discourse Processing
  • Artificial Intelligence
  • Computational Procedures
  • Text Comprehension
  • Human and Computer Tutoring
  • Design of Educational Software
  • Human-Computer Interaction

  • Recent Publications
  • D'Mello, S., Lehman, B., Pekrun, R., & Graesser, A. C. (2014). Confusion can be beneficial for learning. Learning and Instruction. 29, 153-170.
  • Graesser, A. C., Li, H., & Forsyth, C. (2014). Learning by communicating in natural language with conversational agents. Current Directions in Psychological Science, 23, 374-380.
  • 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. Elementary School Journal, 115, 210-229.
  • Nye, B. D., Graesser, A. C., & Hu, X. (2014). AutoTutor and family: A review of 17 years of natural language tutoring. International Journal of Artificial Intelligence in Education, 24, 427–469.
  • McNamara, D. S., Graesser, A. C., McCarthy, P. M., Cai, Z. (2014). Automated evaluation of text and discourse with Coh-Metrix. Cambridge, MA: Cambridge University Press.
  • Sottilare, R., Graesser, A. C., Hu, X., & Goldberg, B. (Eds.) (2014), Design Recommendations for Intelligent Tutoring Systems: Instructional Management (Vol. 2). Orlando, FL: Army Research Laboratory.
  • Rus, V., D'Mello, S., Hu, X., & Graesser, A. C. (2013). Recent advances in intelligent systems with conversational dialogue. AI Magazine, 34, 42-54.