Abstract
Computer microworlds are becoming more and more powerful for learning and teaching science. However, even a powerful computer microworld is not enough, by itself, to enable students to explore and learn about a formal domain. It is argued that it should be integrated with other media, especially books. In a computer microworld, direct manipulation techniques allow the implementation of direct manipulation of physical concepts, as it is shown with an example from physics — NEWTON, a computerized exploratory laboratory. In this computerized exploratory laboratory — a conceptual laboratory — the user can explore and experiment with concrete-abstract objects, confront multiple representations and pose and devise strategies to learn about the most fundamental phenomenon of Nature: motion.
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References
Bliss, J., & Ogborn, J. (1989). Tools for exploratory learning. Journal of Computer Assisted Learning, 5, 37–50, 1989.
Cabrol, D. (1990). Le rôle de l’intelligence artificielle dans l’enseignement: l’Example de la Chimie. Proceedings of “Encontro Computadores no Ensino da Física e da Química” (pp. 59–60 ). Coimbra, Portugal.
Cuban, L. (1989). Neoprogressive visions and organizational realities, Harvard Educational Review, 59 (2), 217–222.
DiSessa, A. (1987). Artificial worlds and real experience. In R. W. Lawler & M. Yazdani (Eds.), Artificial Intelligence and Education, Vol. 1 (pp. 55–77 ). Norwood, NJ: Ablex.
DiSessa, A. (1982). Unlearning Aristotelian Physics: A study of knowledge-based learning. Cognitive Science, 6, 37–75.
Driver, R. (1983). The pupil as scientist. Milton Keynes: Open University Press.
Educational Technology Center (1988). Making sense of the future. Harvard: Harvard Graduate School of Education.
Fischbein, E. (1990). Introduction. In P. Nesher & J. Kilpatrick (Eds.), Mathematics and cognition: A research synthesis by the International Group for the Psychology of Mathematics Education (pp. 1–13 ) Cambridge: Cambridge University Press.
Forman, G., & Pufall, P. B. (1988). Constructivism in the computer age: A reconstructive epilogue. In G. Forman & P. B. Pufall (Eds.), Constructivism in the Computer Age (pp. 235–250 ). Hillsdale, NJ: Lawrence Erlbaum.
Hebenstreit, J. (1987). Simulation et pédagogie, une rencontre du troisième type. École Supérieure d’Electricité, Gif-Sur-Yvette.
Levin, J. A. & Waugh, M. (1988). Educational simulations, tools, games, and microworlds: Computer-based environments for learning. In M. Rabinowitz (Ed.), Computer simulations as research tools, International Journal of Educational Research, 12, 71–79.
McDermott, L. C. (1984). Critical review of research in the domain of mechanics. Research on Physics Education: proceeding of the first international workshop (pp. 137–182 ). Paris: CNRS.
O’Shea, T. (1990). Informal communication at the NATO Advanced Research Workshop Advanced Technologies in the Teaching of Mathematics and Science, Milton Keynes.
Papert, S. (1980) Mindstorms, children, computers and powerful ideas. NY: Basic Books.
Plomp, T., Pelgrum, W. J. & Sterrneman, A. H. M. (1990). Influence of computer use on schools curriculum: limited integration. Computer Education, 14 (2), 159–171.
Schanck, R. C. (1986). Explanation patterns. Hillsdale, NJ: Lawrence Erlbaum.
Schecker, H. (1990). The didactic potential of model-building systems for Physics education. Paper presented at the NATO Advanced Research Workshop Advanced Technologies in the Teaching of Mathematics and Science, Milton Keynes.
Schwartz, J. L. (1989). Intellectual mirrors: a step in the direction of making schools knowledge-making places. Harvard Educational Review, 59 (1), 51–61.
Schwartz, J. L. (1990). Software to think with. Proceedings of “Encontro Computadores no Ensino da Fisica e da Qutmica” (p. 51 ). Coimbra: Portugal.
Schwartz, J. L. (1990). Informal communication at the NATO Advanced Research Workshop Advanced Technologies in the Teaching of Mathematics and Science, Milton Keynes.
Shneiderman, B. (1983). Direct manipulation: A step beyhond programming languages. IEEE Computer, 16, 57–69.
Striley, J. (1988). Physics for the rest of us. Educational Researcher, August-September, 7 - 10.
Teodoro, V. D. (1990). The computer as a conceptual lab: Learning dynamics with an exploratory environment. Paper presented at the NATO Advanced Research Workshop Advanced Technologies in the Teaching of Mathematics and Science, Milton Keynes.
Thigs, G. (1988). How forceful is intuition? Students’ difficulties in mechanics in relation to common sense. In Thijs, G. D., Boer, H. H., Mcfarlane, I. G. & Stoll, C. J. (Eds.), Learning difficulties and teaching strategies in secondary school science and mathematics, Proceedings of a Regional Conference, Botswana. Amsterdam: Free University Press.
Viennot, L. (1979). Raisonnement spontané en dynamique élémentaire. Paris: Hermann.
Wong, D. (1987). Teaching A level physics through microcomputer dynamic modelling: II. Evaluation of teaching. Journal of Computer Assisted Learning, 3, 164–175.
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© 1992 Springer-Verlag Berlin Heidelberg
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Teodoro, V.D. (1992). Direct Manipulation of Physical Concepts in a Computerized Exploratory Laboratory. In: De Corte, E., Linn, M.C., Mandl, H., Verschaffel, L. (eds) Computer-Based Learning Environments and Problem Solving. NATO ASI Series, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77228-3_21
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DOI: https://doi.org/10.1007/978-3-642-77228-3_21
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