REFERENCES
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Theoretical Papers
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- Anderson, J. R. (2002). Spanning seven orders of magnitude: A challenge for cognitive modeling. Cognitive Science, 26. [info]
- Anderson, J. R. (1991). Is human cognition adaptive? Behavioral and Brain Sciences, 14, 471-484.
- Anderson, J. R. (1987). Production systems, learning, and tutoring. In D. Klahr, P. Langley, & R. Neches (Eds.), Selfmodifying
production systems: Models of learning and development. Bradford Books/MIT, Cambridge, MA.
- Anderson, J. R., Boyle, C. F., Corbett, A., and Lewis, M. W. (1990) Cognitive modelling and intelligent tutoring. Artificial Intelligence, 42, 7-49.
- Anderson, J. R., Boyle, C. F., Farrell, R., & Reiser, B. J. (1987). Cognitive principles in the design of computer tutors. [info] P. Morris (Ed.), Modelling Cognition, Wiley.
- Anderson, J. R., Boyle, C. F., Farrell, R., & Reiser, B. J. (1984). Cognitive principles in the design of computer tutors. In Proceedings of the Sixth Annual Cognitive Science Meetings, 2-10.
- Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1985). Intelligent tutoring systems. Science, 228, 456-467.
- 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]
- Anderson, J. R., Simon, H. A., & Reder, L. M. (1996). Situated learning and education. Educational Researcher, 25, 5-11.
- Anderson, J. R., John, B. E., Just, M. A., Carpenter, P. A., Kieras, D. E., & Meyer, D. E. (1995). Production system models of
complex cognition. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 9-
12). Hillsdale, NJ: Lawrence Erlbaum Associates.
- Koedinger, K. & Anderson, J. R. (1993). Reifying implicit planning in geometry: Guidelines for model-based intelligent
tutoring system design. In S. P. Lajoie & S. J. Derry (Eds.) Computers as cognitive tools (pp. 15-46). Hillsdale, NJ:
Erlbaum.
- Koedinger, K. R. (2001). Cognitive tutors as modeling tool and instructional model. In Forbus, K. D. & Feltovich, P. J. (Eds.) Smart Machines in Education: The Coming Revolution in Educational Technology, (pp. 145-168). Menlo Park, CA: AAAI/MIT Press.
- Koedinger, K. R. (2002). Toward evidence for instructional design principles: Examples from Cognitive Tutor Math 6. Invited paper in Proceedings of PME-NA XXXIII (the North American Chapter of the International Group for the Psychology of Mathematics Education).