Andrew M. Olney presently serves as Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. Dr. Olney received a B.A. in Linguistics with Cognitive Science from University College London in 1998, an M.S. in Evolutionary and Adaptive Systems from the University of Sussex in 2001, and a Ph.D. in Computer Science from the University of Memphis in 2006. His primary research interests are in natural language interfaces. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems.
Classes at the undergraduate and graduate level involving cognitive science and computational modeling. Also graduate student mentorship in grant-sponsored research.
Publications and projects focussing on task-oriented natural langugage interfaces with specific focus on conversational intelligent tutoring systems, computational representations of meaning, and dyadic interaction and engagement.
Associate Editor of the Journal of Educational Data Mining and International Journal of Artificial Intelligence in Education, Coordinator for the Cognitive Science Graduate Certificate, and Coordinator for the Undergraduate Minor in Cognitive Science. Also community outreach and service to the field.
Traditional CV in PDF format
Rus, V., Olney, A. M., & Graesser, A. C. (2023). Deeper learning through interactions with students in natural language. In B. du Boulay, A. Mitrovic, & K. Yacef (Eds.), Handbook of Artificial Intelligence in Education (pp. 250–272). Edward Elgar Publishing. https://doi.org/10.4337/9781800375413.00021