• Abrams, E. (1997). Talking and doing science: Important elements in a teaching-for-understanding approach. In J.Mintzes, J.Wandersee, & J. D.Novack (Eds.), Teaching science for understanding: A human constructivist view (pp. 307323). San Diego, CA: Academic Press.
  • Baker, L. M., & Dunbar, K. (1996). Constraints of the experimental design process in real-world science. In G.Cottrell (Ed.), Proceedings of the eighteenth annual conference of the Cognitive Science Society (pp. 154159). Mahwah, NJ: Erlbaum.
  • Chase, W., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 5581.
  • Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145182.
  • Chi, M. T. H., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121152.
  • Chinn, C. A., & Malhotra, B. A. (2000). Epistemologically authentic experimentation. In K.Crowley, C.Schunn, & T.Okada (Eds.), Designing for science: Implications from professional, instructional, and everyday science. Mahwah, NJ: Erlbaum.
  • Day, R., Shirey, W., Ramakrishnan, S., & Huang, Q. (1998). Tumor biology modeling workbench for prospectively evaluating cancer treatments. Paper presented at the 2nd IMACS International Multiconference: CESA'98 Computational Engineering in Systems Applications, Tunisia.
  • Dunbar, K. (1993). How scientists really reason: Scientific reasoning in real world laboratories. In R. J.Sternberg & J.Davidson (Eds.), Mechanisms of insight. Cambridge, MA: MIT Press.
  • Ertmer, P. A., & Newby, T. J. (1996). The expert learner: Strategic, self-regulated, and reflective. Instructional Science, 26, 126.
  • Feltovich, P. J., & Barrows, H. S. (1984). Issues of generality in medical problem-solving. In H. G.Schmidt & M. L.De Volder (Eds.), Tutorials in problem-based learning: A new direction in teaching the health professions. Maastricht, Netherland: Van Gorum.
  • Feltovich, P. J., Spiro, R. J., & Coulsen, R. L. (1997). Issues of expert flexibility in contexts characterized by complexity and change. In P. J.Feltovich, K. M.Ford, & R. R.Hoffman (Eds.), Expertise in context (pp. 125146). Menlo Park, CA: AAAI Press.
  • Gitomer, D. H., & Duschl, R. A. (1995). Moving towards a portfolio culture in science education. In S. M.Glynn & R.Duit (Eds.), Learning science in the schools (pp. 299326). Mahwah, NJ: Erlbaum.
  • Glaser, R., & Chi, M. T. H. (1988). Overview. In M. T. H.Chi, R.Glaser, & M. J.Farr (Eds.), The nature of expertise (pp. xvxxviii). Hillsdale, NJ: Erlbaum.
  • Hmelo, C. E., & Guzdial, M. (1996). Of black and glass boxes: Scaffolding for learning and doing. In D. C.Edelson & E. A.Domeshek (Eds.), Proceedings of ICLS'96 (pp. 128134). Charlottesville, VA: AACE.
  • Hmelo, C. E., Ramakrishnan, S., Day, R. S., Shirey, W. E., Huang, Q., & Baar, J. (1998). Developing inquiry skills through scaffolded use of a simulation. In A.Bruckman, M.Guzdial, J. L.Kolodner, & A.Ram (Eds.), Proceedings of ICLS'98 (pp. 141151). Charlottesville, VA: AACE.
  • Klahr, D., & Dunbar, K. (1988). Dual space search during scientific reasoning. Cognitive Science, 12, 148.
  • Krajcik, J., Blumenfeld, P., Marx, R., & Soloway, E. (2000). Instructional, curricular, and technological supports for inquiry in science classrooms. In J.Minstrell & E. H.Van Zee (Eds.), Inquiry into inquiry learning and teaching in science (pp. 284315). Washington: American Association for the Advancement of Science.
  • Lesgold, A., Rubinson, H., Feltovich, P., Glaser R., Klopfer, D., & Wang, Y. (1988). Expertise in a complex skill: Diagnosing X-ray pictures. In M. T. H.Chi, R.Glaser, & M. J.Farr (Eds.), The nature of expertise (pp. 311342). Hillsdale, NJ: Erlbaum.
  • Minstrell, J. (2000). Implications for teaching and learning inquiry: A summary. In J.Minstrell & E. H.Van Zee (Eds.), Inquiry into inquiry learning and teaching in science (pp. 471496). Washington: American Association for the Advancement of Science.
  • Nersessian, N. J. (1995). Should physicists preach what they practice?: Constructive modeling in doing and learning physics. Science and Education, 4(3), 203226
  • Patel, V. L., & Groen, G. J. (1986). Knowledge-based solution strategies in medical reasoning. Cognitive Science, 10, 91116.
  • Ramakrishnan, S., Hmelo, C. E., Day, R. S., Shirey, W. E., & Huang, Q. (1998). The integration of a novice user interface into a professional modeling tool. In proceedings of 1998 AMIA conference.
  • Simon, R. (1993). Design and conduct of clinical trials. In V. T.DeVita, S.Hellman, & S. A.Rosenberg (Eds.), Cancer: Principles and practice of oncology (pp. 418439). Philadelphia: Lippincott.
  • Trickett, S. B., Trafton, J. G., & Raymond, P. D. (1998). Exploration in the experiment space: The relationship between systematicity and performance. In proceedings of the twentieth annual meeting of the cognitive science society. Madison, WI: Erlbaum.