Andrew Olney, Ph.D.

Andrew Olney, Ph.D.

Associate Professor

Phone
901.678.5032
Fax
901.678.2579
Office
FedEx Institute of Technology, Room 403e
Office Hours
Contact

Education

Ph.D., University of Memphis
M.S., University of Sussex
B.A., University College London

Research Interests

  • Vector Space Models
  • Dialogue Systems
  • Unsupervised Grammar Induction
  • Robotics
  • Intelligent Tutoring Systems

Recent Publications

Journal Articles

  • Warlaumont, A. S., & Olney, A. M. (2015). Evolution of reflexive signals using a realistic vocal tract model. Adaptive Behavior, 23(4), 183–205. http://doi.org/10.1177/1059712315585941
  • Westlund, J. K., D'Mello, S. K., & Olney, A. M. (2015). Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes. PLoS ONE, 10(6). 
  • Riordan, M. A., Kreuz, R. J. & Olney, A. M. (2014). Alignment Is a Function of Conversational Dynamics. Journal of Language and Social Psychology 33(5), 465-481.

Conference Proceedings

  • Samei, B., Olney, A. M., Kelly, S., Nystrand, M., D'Mello, S., Blanchard, N., & Graesser, A. (2015). Modeling Classroom Discourse: Do Models that Predict Dialogic Instruction Properties Generalize across Populations? In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, . . . and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 444-447). International Educational Data Mining Society.
  • Goedecke, P. J., Dong, D., Shi, G., Feng, S., Risko, E., Olney, A. M., D'Mello, S., & Graesser, A. C. (2015). Breaking Off Engagement: Readers' Disengagement as a Function of Reader and Text Characteristics. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, ... and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 448–451). International Educational Data Mining Society

Book Chapters

  • Nye, B. D., Windsor, A., Pavlik, P., Olney, A., Hajeer, M., Graesser, A. C., & Hu, X. (2015). Evaluating the Effectiveness of Integrating Natural Language Tutoring into an Existing Adaptive Learning System. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 743–747). Springer International Publishing.
  • Olney, A. M., & Cade, W. L. (2015). Authoring Intelligent Tutoring Systems Using Human Computation: Designing for Intrinsic Motivation. In D. D. Schmorrow & C. M. Fidopiastis (Eds.), Foundations of Augmented Cognition (Vol. 9183, pp. 628–639). Springer International Publishing.
  • Blanchard, N., D'Mello, S., Olney, A. M., & Nystrand, M. (2015). Automatic Classification of Question & Answer Discourse Segments from Teacher's Speech in Classrooms. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, . . . and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 282–288). International Educational Data Mining Society.
  • Blanchard, N., Brady, M., Olney, A. M., Glaus, M., Sun, X., Nystrand, M., Samei, S., Kelly, S., & D'Mello, S. (2015). A Study of Automatic Speech Recognition in Noisy Classroom Environments for Automated Dialog Analysis. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 23–33). Springer International Publishing.
  • Forsyth, C. M., Graesser, A., Olney, A. M., Millis, K., Walker, B., & Cai, Z. (2015). Moody Agents: Affect and Discourse During Learning in a Serious Game. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 135–144). Springer International Publishing.
  • Mills, C., D'Mello, S., Bosch, N., & Olney, A. M. (2015). Mind Wandering During Learning with an Intelligent Tutoring System. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 267–276). Springer International Publishing.
  • Olney, A. M., Brawner, K., Pavlik, P., & Koedinger, K. R. (2015). Emerging Trends in Automated Authoring. Design recommendations for adaptive intelligent tutoring systems: Learner modeling, Vol. 3 of Adapive Tutoring (pp. 227-242). Orlando: U.S. Army Research Laboratory.