Publications about Intelligent Tutoring Systems

Anderson, J. R., Douglass, S. & Qin, Y. (2004). How should a theory of learning and cognition inform instruction?. In A. Healy (Ed.) Experimental cognitive psychology and it’s applications. American Psychological Association; Washinton, D. C. [] [info]

Anderson, J. R. & Gluck, K. (2001). What role do cognitive architectures play in intelligent tutoring systems? In D. Klahr & S. M. Carver (Eds.) Cognition & Instruction: Twenty-five years of progress, 227-262. Erlbaum. [] [info]

Baker, R.S., Corbett, A.T., Koedinger, K.R. (2003) Statistical Techniques For Comparing ACT-R Models of Cognitive Performance. In Proceedings of the 10th Annual ACT-R Workshop, 129-134. [] [info]

Butcher, K. R. & Aleven, V. (2007) Integrating visual and verbal knowledge during classroom learning with computer tutors. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA. [] [info]

Corbett, A. T. & Anderson, J. R. (2001). Locus of feedback control in computer-based tutoring: Impact on learning rate, achievement and attitudes. In Proceedings of ACM CHI'2001 Conference on Human Factors in Computing Systems, 245-252. [] [info]

Corbett, A. T., Anderson J. R., & O'Brien, A. T. (1993) The predictive validity of student modeling in the ACT Programming Tutor. In P. Brna, S. Ohlsson, & H. Pain (Eds.) Artifically Intelligence and Education, 1993: The Proceedings of AI-ED 93. Charlottesville, VA: AACe. [] [info]

Fincham, J. M., & Anderson, J. R. (2007). An fMRI study of the neural correlates of performance and learning in an algebraic isomorph task. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271 [info]

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. A. (2006), Toward a Real-Time Model-Based Training System. Interacting with Computers, 18(6), 1216-1230. [] [] [info]

Gluck, K. A., Lovett, M. C., & Anderson, J. R. (1997). The adaptive nature of learning from Stat Lady. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, p. 931. Mahwah, NJ: Erlbaum. [] [info]

Gluck, K. A., Lovett, M. C., Anderson, J. R., & Park, J. W. (1997). Learning about learning from Stat Lady. In Proceedings of the World Conference on Educational Multimedia and Hypermedia. Charlottesville, VA: AACE. [info]

Gluck, K. A., Lovett, M. C., Anderson, J. R., & Shute, V. J. (unpublished). The Curriculum and the Interface: A Componential Analysis of the Learning Curve. [] [ACT-R 4.0 web-based simulation and model source code] [info]

Gluck, K. A., Shute, V. J., Anderson, J. R., & Lovett, M. C. (1998). Deconstructing a computer-based tutor: Striving for better learning efficiency in Stat Lady. In B. P. Goettl, H. M. Halff, C. L. Redfield, & V. J. Shute (Eds.), Proceedings of the 4th International Conference on Intelligent Tutoring Systems (pp. 66-75). New York: Springer. [] [info]

Gunzelmann, G., & Gluck, K. A. (2004). Knowledge tracing for complex training applications: Beyond Bayesian mastery estimates. In Proceedings of the Thirteenth Conference on Behavior Representation in Modeling and Simulation (pp. 383-384). Orlando, FL: Simulation Interoperability Standards Organization. [] [info]

Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006). Knowledge tracing and prediction of future trainee performance. In Proceedings of the 2006 Interservice/Industry Training, Simulation, and Education Conference (pp. 1498-1508). Orlando, FL: National Training Systems Association. [] [info]

Koedinger, K. R. & Aleven, V. (in press). Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review. [] [info]

Koedinger, K.R. & Mathan, S. (2004) Distinguishing qualitatively different kinds of learning using log files and learning curves. ITS 2004 Log Analysis Workshop Maceio, Brazil, 39-46. [HTML] [info]

Lewis, M. W., Milson, R., & Anderson, J. R. (1987). The teacher's apprentice: Designing an intelligent authoring system for high school mathematics. In G. P. Kearsley (Ed.), Artificial Intelligence and Instruction. Reading, MA: Addison-Wesley [] [info]

Mathan, S. A. & Koedinger, K. R. (2005) Fostering the Intelligent Novice: Learning from Errors with Metacognitive Tutoring. Educational Psychologist 40(4), 257-265. [] [info]

Pavlik, P. I., Jr., Presson, N., Dozzi, G., Wu, S.-M., MacWhinney, B., & Koedinger, K. (2007). The FaCT (fact and concept) system: A new tool linking cognitive science with educators. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA. [] [info]

Ritter, S., Anderson, J. R., Koedinger, K. R., Corbett, A. (2007) Cognitive Tutor: Applied research in mathematics education. Psychonomic Bulletin & Review, 14, 249-255. [] [info]

Roll, I., Baker, R. S., Aleven, V., & Koedinger, K. (2004). A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. In Proceedings the Seventh International Conference of Intelligent Tutoring Systems (pp. 854-856) Lecture Notes in Computer Science 3220. Berlin: Springer Verlag. [] [info]

Roll, I., Baker, R. S., Aleven, V., & Koedinger, K. (2004). What goals do students have when choosing the actions they perform? In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 380-381). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]