Designing Computer Models That Teach

  • Paul Horwitz
Part of the Modeling Dynamic Systems book series (MDS)


Of all the species on earth, Homo sapiens is the only one, so far as we know, that uses models (Deacon, 1997). We invent models for many, often conflicting purposes: to provide parsimonious descriptions of observed phenomena, to predict what will happen under prescribed circumstances, and sometimes to explain why things happen the way they do. Models are the indispensable tools of modern science, and increasingly they run on computers, which enables us to predict, and to varying degrees control, the exact landing spot of a Mars probe, the three-dimensional configuration of a molecule, and the chance of rain tomorrow. Such uses of models, in fact, have given rise to a new kind of research, aptly described by the phrase computational science.


Educational Model Curriculum Developer Visible Particle Reasoning Pattern Invisible Particle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Carey, S. 1986. Cognitive science and science education, American Psychologist, 41(10), 1123–1130.MathSciNetCrossRefGoogle Scholar
  2. Deacon, T. W. 1997. The symbolic species: Co-evolution of language and the brain. New York: Norton.Google Scholar
  3. Einstein, A. 1905. Elektrodyamik bewegten Körper, Annalen der Physik, 4(17), 891–921.CrossRefGoogle Scholar
  4. Horwitz, P. 1996. Linking models to data: Hypermodels for science education. The High School Journal, 79(2), 148–156.Google Scholar
  5. Horwitz, P., & Christie, M. T. 1998. Computer-based manipulatives for teaching scientific reasoning: an example. In Jacobson, M. & Kosma R. (eds.), Learning the sciences of the 21st century: Research, design, and implementing advanced technology learning environments. Hillsdale, NJ: Lawrence Eribaum (in press).Google Scholar
  6. Horwitz, P., & Feurzeig, W. 1994. Computer-aided inquiry in mathematics education, Journal of Computers in Mathematics and Science Teaching, 13(3), 265–301.Google Scholar
  7. Horwitz, P., & Barowy, W. 1994. Designing and using open-ended software to promote conceptual change, Journal of Science Education and Technology, 3 (3), 161–185.CrossRefGoogle Scholar
  8. Mayr, E. 1989. Toward a new philosophy of biology: Observations of an evolutionist. Cambridge, MA: Harvard University Press.Google Scholar
  9. Mendel, G. 1866. Versuche über Pflanzen-Hybriden. Verhandlungen des natur-forschenden Vereines, Abhandlungen, Brünn, 4, 3–47.Google Scholar
  10. White, B. Y. 1993. “ThinkerTools: Causal models, conceptual change, and science education.” Cognition and Instruction, 10, 1–100.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Paul Horwitz

There are no affiliations available

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