Buldyrev, S.V., Erickson, M.J., Garik, P., Shore, L. S., Stanley, H. E., Taylor, E. F., Trunfio, P.A. & Hickman, P. 1994. Science research in the classroom: The Physics Teacher, 32, 411–415.
CrossRef
Google Scholar
Chen, D., & Stroup, W. 1993. General systems theory: Toward a conceptual framework for science and technology education for all. Journal for Science Education and Technology, 2(3), 447–459.
CrossRef
Google Scholar
Cutnell, J., & Johnson, K. 1995. Physics. New York: Wiley.
Google Scholar
Daston, L. 1987. Rational individuals versus laws of society: From probability to statistics. In Kruger, Daston, L., & Heidelberger, M. (eds.), The probabilistic revolution, vol. 1. Cambridge, MA: M.I.T. Press.
Google Scholar
Dawkins, R 1976. The selfish gene. Oxford, England: Oxford University Press.
Google Scholar
Dennett, D. 1995. Darwin’s dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster.
Google Scholar
diSessa, A. 1986. Artificial worlds and real experience. Instructional Science, 207–227.
Google Scholar
Doerr, H. 1996. STELLA®: Ten years later: A review of the literature. International Journal of Computers for Mathematical Learning, 1(2), 201–224.
CrossRef
Google Scholar
Eisenberg, M. 1991. Programmable applications: Interpreter meets interface. MIT AI Memo
1325. Cambridge, MA: AI Lab, M.I.T.
Google Scholar
Feurzeig, W. 1989. A visual programming environment for mathematics education. Paper presented 4th International Conference for Logo and Mathematics Education. Jerusalem, Israel, August 15.
Google Scholar
Forrester, J.W. 1968. Principles of systems. Norwalk, CT: Productivity Press.
Google Scholar
Gell-Mann, M. 1994. The quark and the jaguar. New York: W.H. Freeman.
MATH
Google Scholar
Giancoli, D. 1984. General physics. Englewood Cliffs, NJ: Prentice-Hall.
Google Scholar
Gigerenzer, G. 1987. Probabilistic thinking and the fight against subjectivity. In Kruger, L., Daston, L., & Heidelberger, M. (eds.), The probabilistic revolution, vol 2 Cambridge, MA: M.I.T. Press.
Google Scholar
Ginsburg, H., & Opper, S. 1969. Piaget’s theory of intellectual development. Englewood Cliffs, NJ: Prentice-Hall.
Google Scholar
Giodan, A. 1991. The importance of modeling in the teaching and popularization of science. Trends in Science Education, 41(4).
Google Scholar
Gleick, J. 1987. Chaos. New York: Viking Penguin.
MATH
Google Scholar
Hofstadter, D. (1979). Godel, Escher, Bach: An eternal golden braid. New York: Basic Books.
Google Scholar
Holland, J. 1995. Hidden order: How adaptation builds complexity. Reading, MA: Helix Books/Addison-Wesley.
Google Scholar
Horwitz, P. 1989. ThinkerTools: Implications for science teaching. In Ellis, J.D. (ed.), 1988 AETS yearbook: Information technology and science education, pp. 59–71.
Google Scholar
Horwitz, P., Neumann, E, & Schwartz, J. 1994. The Genscope Project. Connections, Spring, 10–11.
Google Scholar
Jackson, S., Stratford, S., Krajcik, J., & Soloway, E. 1996. A learner-centered tool for students building models. Communications of the ACM, 39(4), 48–49.
CrossRef
Google Scholar
Kauffman, S. 1995. At home in the universe: The search for the laws of self-organization and complexity. Oxford, England: Oxford University Press
Google Scholar
Kay, A. C. 1991. Computers, networks and education. Scientific American, September, 138–148.
Google Scholar
Kelly, K. 1994. Out of control. Reading, MA: Addison-Wesley.
Google Scholar
Kruger, L., Daston, L., & Heidelberger, M. (eds.) 1987.The probabilistic revolution vol. 1. Cambridge, MA: M.I.T. Press.
Google Scholar
Langton, C., & Burkhardt, G. 1997. Swarm. Santa Fe, NM: Santa Fe Institute.
Google Scholar
Lotka, A.J. 1925. Elements of physical biology. New York: Dover Publications.
MATH
Google Scholar
Mandinach, E.B., & Cline, H.F. 1994. Classroom dynamics: Implementing a technol-ogy-based learning environment. Hillsdale, NJ: Lawrence Erlbaum.
Google Scholar
Mellar et al. (1994). Learning with artificial worlds: Computer based modelling in the curriculum. London: Falmer Press.
Google Scholar
Minar, N., Burkhardt, G., Langton, C., & Askenazi, M. 1997. The Swarm simulation system: A toolkit for building multi-agent simulations. http://www.santafe.edu/ projects/swarm/.
Google Scholar
Minsky, M. 1987. The society of mind. Simon & Schuster Inc., New York.
Google Scholar
Nemirovsky, R. 1994. On ways of symbolizing: Tthe case of Laura and the velocity sign.Journal of Mathematical Behavior, 14(4), 389–422.
CrossRef
Google Scholar
Neumann, E., Feurzeig, W., Garik, P., & Horwitz, P. 1997. OOTL. Paper presented at the European Logo Conference. Budapest: Hungary, 20–23 August.
Google Scholar
Noss, R., & Hoyles, C. 1996. The visibility of meanings: Modelling the mathematics of banking. International Journal of Computers for Mathematical Learning, 1(1), 3–31.
Google Scholar
Ogborn, J. 1984. A microcomputer dynamic modelling system.Physics Education 19(3),138–142.
CrossRef
Google Scholar
Papert, S. 1980. Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
Google Scholar
Papert, S. 1991. Situating constructionism. In Harel, I., & Papert, S. (eds.) Constructionism pp. 1-12. Norwood, NJ: Ablex Publishing.
Google Scholar
Papert, S. 1996. An exploration in the space of mathematics education.International Journal of Computers for Mathematical Learning.,1(1),95–123.
Google Scholar
Pea, R. 1985. Beyond amplification: Using the computer to reorganize mental functioning. Educational Psychologist, 20(4), 167–182.
CrossRef
Google Scholar
Prigogine, I., & Stengers, I. 1984. Order out of chaos: Man’s new dialogue with nature. New York: Bantam Books.
Google Scholar
Repenning, A. 1993. AgentSheets: A tool for building domain-oriented dynamic, visual environments. Ph.D. dissertation, University of Colorado.
Google Scholar
Repenning, A. 1994. Programming substrates to create interactive learning environments. Interactive Learning Environments, 4(1), 45–74.
CrossRef
Google Scholar
Resnick, M. 1994.Turtles termites and traffic jams. Explorations in massively parallel microworlds . Cambridge, MA: M.I.T. Press.
Google Scholar
Resnick, M., & Wilensky, U. 1995. New thinking for new Sciences: Constructionist approaches for exploring complexity. Presented at the annual conference of the American Educational Research Association, San Francisco, CA.
Google Scholar
Resnick, M., & Wilensky, U. 1998. Diving into Complexity: Developing probabilistic decentralized thinking through role-playing activities. Journal of the Learning Sciences, 7(2), 153–171.
CrossRef
Google Scholar
Richmond, B., & Peterson, S. 1990. Stella II. Hanover, NH: High Performance Systems.
Google Scholar
Roberts, N. 1978. Teaching dynamic feedback systems thinking: An elementary view. Management Science, 24(8), 836–843.
CrossRef
Google Scholar
Roberts, N. 1981. Introducing computer simulation into the high schools: An applied mathematics curriculum. Mathematics Teacher, 74(8), 647–652.
Google Scholar
Roberts, N., Anderson, D., Deal, R., Garet, M., Shaffer, W. 1983. Introduction to computer simulations: A systems dynamics modeling approach. Reading, MA: Addison-Wesley.
Google Scholar
Roberts, N., & Barclay, T. 1988. Teaching model building to high school students: Theory and reality.Journal of Computers in Mathematics and Science Teaching, Fall, 13–24.
Google Scholar
Roetzheim, W. 1994. Entering the complexity lab. Indianapolis, IN: SAMS Publishing.
Google Scholar
Shore, L. S., Erickson, M. J., Garik, P., Hickman, P., Stanley, H. E., Taylor, E. F., and Trunfio, P. 1992. Learning fractals by “doing science”: Applying cognitive apprenticeship strategies to curriculum design and instruction. Interactive Learning Environments, 2, 205–226.
CrossRef
Google Scholar
Smith, D. C., Cypher, A., & Spohrer, J. 1994. Kidsim: Programming agents without a programming language. Communications of the ACM, 37(7), 55–67.
Google Scholar
Starr, P. 1994. Seductions of Sim. The American Prospect, 17, 19–29.
Google Scholar
Thornton, R., & Sokoloff, D. 1990. Learning motion concepts using real-time microcomputer-based laboratory tools. American Journal of Physics, 58, 9.
CrossRef
Google Scholar
Tipler, P. 1992. Elementary modern physics. New York: Worth.
Google Scholar
Tversky, A., & Kahneman, D. 1974. Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131.
CrossRef
Google Scholar
Waldrop, M. 1992. Complexity: The emerging order at the edge of order and chaos. New York: Simon & Schuster.
Google Scholar
White, B., & Frederiksen, J. 1998. Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16(1), 3–118.
CrossRef
Google Scholar
Wilensky, U. 1991. Abstract meditations on the concrete and concrete implications for mathematics education. In Harel, I., & Papert, P. (eds.), Constructionism. Norwood, NJ: Ablex Publishing, 193–204.
Google Scholar
Wilensky, U. 1993. Connected mathematics: Building concrete relationships with mathematical knowledge. Ph.D. dissertation, M.I.T.
Google Scholar
Wilensky, U. 1995a. Paradox, programming and learning probability: A case study in a connected mathematics framework. Journal of Mathematical Behavior, 14(2), 253–280.
CrossRef
Google Scholar
Wilensky, U. 1995b. Learning probability through building computational models. Proceedings of the Nineteenth International Conference on the Psychology of Mathematics Education. Recife, Brazil, July.
Google Scholar
Wilensky, U. 1996. Modeling rugby: Kick first, generalize later? International Journal of Computers for Mathematical Learning, 1(1), 125–131.
Google Scholar
Wilensky, U. 1997. What is normal anyway? Therapy for epistemological anxiety. Educational Studies in Mathematics. Special Edition on Computational Environments in Mathematics Education, ed. R. Noss, (Ed.) 33(2), 171–202.
Google Scholar
Wilensky, U. & Resnick, M. 1999. Thinking in levels: A dynamic systems approach to making sense of the world. Journal of Science Education and Technology, 8(1).
Google Scholar
Wright, W. 1992a. SimCity. Orinda, CA: Maxis
Google Scholar
Wright, W. 1992b. SimEarth. Orinda, CA: Maxis
Google Scholar