Bridging the Bridge to Algebra: Measuring and Optimizing the Influence of Prerequisite Skills on a Pre-Algebra Curriculum

The purpose of this project is to develop an automated tutorial intervention that is intended to improve learning in a pre-algebra curriculum. In particular, the goal of this intervention is to help children learn new complex math skills by attending to prerequisite math skills.

Papers available here: http://optimallearning.org/people/pavlikvitae.htm
  • Pavlik Jr., P. I., Cen, H., Wu, L., & Keodinger, K. R. (2008). Using item-type performance covariance to improve the skill model of an existing tutor. In R. S. J. d. Baker & J. E. Beck (Eds.), Proceedings of the 1st International Conference on Educational Data Mining. Montreal, Canada.
  • Pavlik Jr., P. I., Cen, H., & Koedinger, K. R. (2009). Learning factors transfer analysis: Using learning curve analysis to automatically generate domain models. In T. Barnes, M. Desmarais, C. Romero & S. Ventura (Eds.), Proceedings of the The 2nd International Conference on Educational Data Mining (pp. 121-130). Cordoba, Spain.
  • 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.
Details of grant at US Department of Education.

Principle Investigator: Philip I Pavlik Jr.

[ppavlik@andrew.cmu.edu]
http://wwww.optimallearning.org

Co-PI: Kenneth R. Koedinger

[krk@cs.cmu.edu]
http://pact.cs.cmu.edu/koedinger.html

Partners

Carnegie Learning, Inc. [http://www.carnegielearning.com/index.cfm]
Pittsburgh Science of Learning Center [DataShop, https://pslcdatashop.web.cmu.edu/]