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Faculty Information
Philip I. Pavlik, Jr. Philip I. Pavlik Jr.

Assistant Professor
Experimental, Cognitive
Psychology Building, Room 434
901.678.2326 (telephone)
901.678.2579 (fax)


Ph.D., Carnegie Mellon University
B.A., University of Michigan

Research Interests

  • Educational Software Design
  • Computational Modeling of Cognition
  • Concept and Fact Learning
  • Transfer of Learning
  • Strategies for Learning

Recent Publications

  • Pavlik, P., Yudelson, M., & Koedinger, K. (2011). Using contextual factors analysis to explain transfer of least common multiple skills. In G. Biswas, S. Bull, J. Kay & A. Mitrovic (Eds.), Artificial intelligence in education (Vol. 6738, pp. 256-263): Springer Berlin / Heidelberg.
  • Pavlik Jr., P. I., & Wu, S. (2011). A dynamical system model of microgenetic changes in performance, efficacy, strategy use and value during vocabulary learning. Proceedings of the 3rd International Conference on Educational Data Mining (pp. 277-282), Eindhoven, the Netherlands.
  • Pavlik Jr., P. I., Cen, H., & Koedinger, K. R. (2009). Performance factors analysis—A new alternative to knowledge tracing. In V. Dimitrova & R. Mizoguchi (Eds.), Proceedings of the 14th International Conference on Artificial Intelligence in Education. Brighton, England.
  • Koedinger, K. R., Pavlik, P., McLaren, B. M., & Aleven, V. (2008). Is it better to give than to receive? The assistance dilemma as a fundamental unsolved problem in the cognitive science of learning and instruction. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Conference of the Cognitive Science Society. Washington, DC.
  • Pavlik Jr., P. I., & Anderson, J. R. (2008). Using a model to compute the optimal schedule of practice. Journal of Experimental Psychology: Applied, 14(2), 101–117.
  • Pavlik Jr., P. I. (2007). Understanding and applying the dynamics of test practice and study practice. Instructional Science, 35, 407–441.
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Last Updated: 12/10/13