Arthur C. Graesser, Ph.D.

Arthur C. Graesser, Ph.D.

Professor, Experimental (Cognitive)

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


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.