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The Transfer of Scientific Principles Using Concrete and Idealized Simulations

Goldstone, Robert L., Son, Ji Y.·2005·Journal of the Learning Sciences

Abstract

Participants in 2 experiments interacted with computer simulations designed to foster understanding of scientific principles governing complex adaptive systems. The quality of participants' transportable understanding was measured by the amount of transfer between 2 simulations governed by the same principle. The perceptual concreteness of the elements within the first simulation was manipulated. The elements either remained concrete throughout the simulation, remained idealized, or switched midway into the simulation from concrete to idealized or vice versa. Transfer was better when the appearance of the elements switched, consistent with theories predicting more general schemas when the schemas are multiply instantiated. The best transfer was observed when originally concrete elements became idealized. These results are interpreted in terms of tradeoffs between grounded, concrete construals of simulations and more abstract, transportable construals. Progressive idealization ("concreteness fading") allows originally grounded and interpretable principles to become less tied to specific contexts and hence more transferable.

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Research works printed but not linked: 87

  1. Ambrose R. C., 2002, Teaching Children Mathematics, 9, 16, 10.5951/TCM.9.1.0016 · doi:10.5951/tcm.9.1.0016
  2. Barnett S. M., 2002, Journal of Experimental Psychology: General, 128, 612
  3. Bassok M., 1996, Current Directions in Psychological Science, 5, 54, 10.1111/1467-8721.ep10772723 · DOI
  4. Bassok, M. & Holyoak, K. J. (1989). Interdomain transfer between isomorphic topics in algebra and physics. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 153-166. · doi:10.1037/0278-7393.15.1.153 · Paper page
  5. Bransford, J. D., Brown, A. L. & Cocking, R. R. (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
  6. Bruner, J. S. (1966). Toward a theory of instruction. Cambridge, MA: Belknap.
  7. 10.1207/S15327809JLS1101_1 · DOI
  8. Clements D. H., 1996, Teaching Children Mathematics, 2, 270, 10.5951/TCM.2.5.0270 · DOI · Paper page
  9. DeLoache J. S., 1991, Child Development, 62, 736, 10.2307/1131174 · DOI
  10. 10.1111/1467-8721.ep10772408 · DOI · Paper page
  11. 10.1111/1467-8624.00148 · DOI · Paper page
  12. 10.1016/0193-3973(94)90020-5 · doi:10.1016/0193-3973(94)90020-5
  13. DeLoache J. S., 1992, Cognitive Development, 7, 317, 10.1016/0885-2014(92)90019-N · DOI
  14. DiFonzo, N., Hantula, D. A. & Bordia, P. (1998). Microworlds for experimental research: Having your (control and collections) cake, and realism too. Behavioral Research Methods, Instruments, and Computers, 30, 278-286. · DOI
  15. Dixon J. A., 2004, Cognitive Science, 28, 433, 10.1207/s15516709cog2803_6 · DOI
  16. Fuson K. C., 1990, Journal for Research in Mathematics Education, 21, 180, 10.2307/749373 · DOI · Paper page
  17. Gentner, D. (1989). The mechanisms of analogical learning. In S. Vosniadou & A. Ortony (Eds.), Similarity, analogy, and thought (pp. 199-241). New York: Cambridge University Press. · DOI · Paper page
  18. 10.1016/S0010-0277(98)00002-X · DOI · Paper page
  19. Gentner D., 1986, Cognitive Science, 10, 277, 10.1207/s15516709cog1003_2 · doi:10.1207/s15516709cog1003_2 · Paper page
  20. Gentner, D. & Wolff, P. (2000). Metaphor and knowledge change. In E. Dietrich & A. B. Markman (Eds.), Cognitive dynamics: Conceptual and representational change in humans and machines (pp. 294-342). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
  21. Gianutsos, R. (1994). Driving advisement with the Elemental Driving Simulator (EDS): When less suffices. Behavioral Research Methods, Instruments, and Computers, 26, 183-186. · DOI
  22. Goldstone, R. L. (2003). Learning to perceive while perceiving to learn. In R. Kimchi, M. Behrmann, & C. Olson (Eds.), Perceptual organization in vision: Behavioral and neural perspectives (pp. 233-278). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
  23. 10.1016/S0010-0277(97)00047-4 · DOI · Paper page
  24. Goldstone R. L., 1991, Cognitive Psychology, 23, 222, 10.1016/0010-0285(91)90010-L · DOI · Paper page
  25. Goldstone R. L., 2003, Cognitive Psychology, 46, 414, 10.1016/S0010-0285(02)00519-4 · DOI · Paper page
  26. Goldstone R. L., 2003, Memory & Cognition, 31, 169, 10.3758/BF03194377 · DOI
  27. Grossberg S., 1976, Biological Cybernetics, 23, 121, 10.1007/BF00344744 · DOI · Paper page
  28. Heim, M. (2000). Virtual realism. New York: Oxford University Press.
  29. Holyoak, K. J. (1984). Analogical thinking and human intelligence. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 2, pp. 199-230). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  30. Holyoak K. J., 1987, Memory & Cognition, 15, 332, 10.3758/BF03197035 · DOI · Paper page
  31. Jackson S., 1996, Interactive Learning Environments, 4, 233, 10.1080/1049482940040305 · DOI
  32. Johnson-Laird P. N., 1972, British Journal of Psychology, 63, 395, 10.1111/j.2044-8295.1972.tb01287.x · DOI · Paper page
  33. Judd C. H., 1908, Educational Review, 36, 28
  34. Katona, G. (1940). Organizing and memorizing. New York: Columbia University Press.
  35. Kennedy, L. M. & Tipps, S. (1994). Guiding children's learning of mathematics (7th ed.). Belmont, CA: Wadsworth.
  36. Klahr D., 1988, Cognitive Psychology, 20, 362, 10.1016/0010-0285(88)90004-7 · DOI · Paper page
  37. 10.1016/0364-0213(90)90008-K · DOI · Paper page
  38. Koedinger K. R., 1998, Interactive Learning Environments, 5, 161, 10.1080/1049482980050111 · DOI
  39. Kohonen, T. (1995). Self-organizing maps. Berlin: Springer-Verlag. · doi:10.1007/978-3-642-97610-0 · Paper page
  40. Kotovsky L., 1996, Child Development, 67, 2797, 10.2307/1131753 · DOI
  41. Larkin J. H., 1987, Cognitive Science, 11, 65, 10.1111/j.1551-6708.1987.tb00863.x · DOI · Paper page
  42. 10.1006/cogp.1993.1011 · DOI · Paper page
  43. Leeper R. W., 1935, Journal of Genetic Psychology, 46, 41
  44. 10.1006/cogp.1993.1011 · DOI · Paper page
  45. Martinez J. G. R., 1987, Academic Therapy, 23, 117, 10.1177/105345128702300201 · doi:10.1177/105345128702300201
  46. 10.1037//0033-295X.100.2.254 · doi:10.1037//0033-295x.100.2.254 · Paper page
  47. Miller K. F., 1991, Cognition and Instruction, 8, 29, 10.1207/s1532690xci0801_2 · DOI
  48. 10.1016/S0885-2014(99)00005-2 · DOI
  49. Moch, P. L. (2001). Manipulatives work! The Educational Forum, 66, 81-87. · DOI
  50. Moyer P. S., 2002, Teaching Children Mathematics, 8, 372, 10.5951/TCM.8.6.0372 · DOI · Paper page
  51. Nathan M. J., 1998, Interactive Learning Environments, 5, 135, 10.1080/1049482980050110 · DOI
  52. Nathan M. J., 1992, Cognition and Instruction, 9, 329, 10.1207/s1532690xci0904_2 · DOI · Paper page
  53. National Research Council. (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
  54. Novick, L. R. & Holyoak, K. J. (1991). Mathematical problem solving by analogy. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 398-415. · DOI
  55. OReilly R. C., 2001, Neural Computation, 13, 1199, 10.1162/08997660152002834 · DOI
  56. 10.1037//0022-0663.86.1.122 · doi:10.1037//0022-0663.86.1.122 · Paper page
  57. Rattermann, M. J. & Gentner, D. (1998). The effect of language on similarity: The use of relational labels improves young children's performance in a mapping task. In K. Holyoak, D. Gentner, & B. Kokinov (Eds.), Advances in analogy research: Integration of theory and data from the cognitive, computational, and neural sciences (pp. 274-282). Sophia: New Bulgarian University.
  58. 10.1037//0033-2909.115.3.381 · DOI · Paper page
  59. Resnick, L. B. & Omanson, S. F. (1987). Learning to understand arithmetic. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 3, pp. 41-96). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  60. Resnick, M. R. (1994). Turtles, termites, and traffic jams. Cambridge, MA: MIT Press.
  61. Resnick M. R., 1998, Journal of Learning Sciences, 7, 153, 10.1207/s15327809jls0702_1 · DOI · Paper page
  62. 10.1037//0022-3514.39.1.2 · DOI · Paper page
  63. Ross, B. H. (1987). This is like that: The use of earlier problems and the separation of similarity effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 629-639. · doi:10.1037/0278-7393.13.4.629 · Paper page
  64. Ross, B. H. (1989). Distinguishing types of superficial similarities: Different effects on the access and use of earlier problems. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 456-468. · doi:10.1037/0278-7393.15.3.456 · Paper page
  65. Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. C. Bruce, & W. F. Brewer (Eds.), Theoretical issues in reading comprehension (pp. 33-58). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  66. Rumelhart D. E., 1985, Cognitive Science, 9, 75, 10.1207/s15516709cog0901_5 · DOI · Paper page
  67. Scaife, M. & Rogers, Y. (1996). External cognition: How do graphical representations work? International Journal of Human-Computer Studies, 45, 185-213. · DOI · Paper page
  68. Schank R. C., 1988, Machine-Mediated Learning, 2, 175
  69. Schunn C. D., 1996, Memory & Cognition, 24, 271, 10.3758/BF03213292 · DOI
  70. Schwartz D. L., 1995, Memory & Cognition, 23, 709, 10.3758/BF03200924 · DOI
  71. Schwartz D. L., 1996, Cognitive Psychology, 30, 154, 10.1006/cogp.1996.0006 · DOI
  72. 10.1016/S0364-0213(99)80012-3 · DOI · Paper page
  73. 10.1016/S0364-0213(99)80047-0 · DOI
  74. Sowell E. J., 1989, Journal for Research in Mathematics Education, 20, 498, 10.2307/749423 · DOI · Paper page
  75. Smith L. B., 2003, Psychological Science, 14, 244, 10.1111/1467-9280.03439 · DOI
  76. Stephens, D. W. & Krebs, J. R. (1987). Foraging theory. New Haven, CT: Princeton University Press. · DOI · Paper page
  77. Terrace H. S., 1963, Journal of the Experimental Analysis of Behavior, 6, 1, 10.1901/jeab.1963.6-1 · DOI · Paper page
  78. Terrace H. S., 1963, Journal of the Experimental Analysis of Behavior, 6, 223, 10.1901/jeab.1963.6-223 · DOI · Paper page
  79. Uttal, D. H., Liu, L. L. & DeLoache, J. S. (1999). Taking a hard look at concreteness: Do concrete objects help young children learn symbolic relations? In C. S. Tamis-LeMonda (Ed.), Child psychology: A handbook of contemporary issues (pp. 177-192). Philadelphia, PA: Psychology Press.
  80. Uttal D. H., 1997, Journal of Applied Developmental Psychology, 18, 37, 10.1016/S0193-3973(97)90013-7 · DOI
  81. von der Malsburg C., 1973, Kybernetik, 15, 85, 10.1007/BF00288907 · DOI · Paper page
  82. Wason P. C., 1971, Quarterly Journal of Psychology, 23, 63
  83. White B. Y., 1993, Cognition and Instruction, 10, 1, 10.1207/s1532690xci1001_1 · DOI · Paper page
  84. Wilensky, U. (1991). Abstract meditations on the concrete and concrete implications for mathematics education. In I. Harel, & S. Papert (Eds.), Constructionism. (pp. 193-203). Westport, CT: Ablex.
  85. Wilensky, U. (2001). Modeling nature's emergent patterns with multi-agent languages. Proceedings of EuroLogo 2001. Linz, Austria.
  86. Wilensky U., 1999, InterJournal of Complex Systems, 234, 1
  87. 10.1023/A:1009421303064 · DOI · Paper page

Metadata

Authors
Goldstone, R. L., & Son, J. Y.
Venue
Journal of the Learning Sciences
Published
2005-01
Volume
14
Issue
1
Pages
69-110
ISSN
  • 1050-8406 (ISSN-L)
  • 1532-7809
OpenAlex
W2027429247
Cited by
452
References
9
FWCI
7.89
Type
journal article
Language
en
Open access
closed

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Goldstone, R. L., & Son, J. Y. (2005). The Transfer of Scientific Principles Using Concrete and Idealized Simulations. Journal of the Learning Sciences. https://doi.org/10.1207/s15327809jls1401_4

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