Prospective adaptation in the use of external representations

Cognition and Instruction

Volumn 27, Issue 4, 2009, Pages 370-400

  Martin, Lee ^a   Schwartz, Daniel L ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70350782307     PISSN: 07370008     EISSN: None     Source Type: Journal    
DOI: 10.1080/07370000903221775     Document Type: Article

References (42)

1. Agnew, N. M., Ford, K. M., & Hayes, P. J. (1997). Expertise in context: Personally constructed, socially selected, and reality-relevant. In: P. J. Feltovich, K. M. Ford, & R. R. Hoffman (Eds.), Expertise in context (pp. 219-244). Menlo Park, CA: AAAI Press.
2. Augustine, N. R. (2005). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: National Academy Press.
3. Biederman, I., & Shiffrar, M. M. (1987). Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 640-645.
4. Bransford, J. D., & Schwartz, D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. In A. Iran-Nejad and P. D. Pearson (Eds.), Review of research in education, (24, 61-100). Washington, DC: American Educational Research Association.
5. Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55-81.
6. Collins, A. M., & Ferguson, W. (1993). Epistemic forms and epistemic games: Structures and strategies to guide inquiry. Educational Psychologist, 28, 25-42.
7. Csikszentmihalyi, M., & Getzels, J. W. (1970). Concern for discovery: An attitudinal component of creative production. Journal of Personality, 38, 91-105.
8. diSessa, A. A., Hammer, D., Sherin, B., & Kolpakowski, T. (1991). Inventing graphing: Meta-representational expertise in children. Journal of Mathematical Behavior, 10(2), 117-160.
9. diSessa, A. A., & Sherin, B. (2000). Meta-representation: An introduction. The Journal of Mathematical Behavior, 19(4), 385-398.
10. Eger, T., Eckert, C., & Clarkson, P. J. (2005). The role of design freeze in product development. Proceedings of 15th International Conference on Engineering Design, Melbourne, Australia (pp. 164-165).
11. Eisenstein, E. L. (1979). The printing press as an agent of change: Communications and cultural transformations in early modern Europe. New York: Cambridge University Press.
12. Enyedy, N. (2005). Inventing mapping: Creating cultural forms to solve collective problems. Cognition and Instruction, 23(4),427-466.
13. Ericsson, K. A. (2006). The Cambridge handbook of expertise and expert performance. New York: Cambridge University Press.
14. Ericsson, K. A., Krampe, R. Th., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363-406.
15. Fullan, M. (1993). Change forces: Probing the depths of educational reform. London: Falmer Press.
16. Hatano, G., & Inagaki, K. (1986). Two courses of expertise. In H. Stevenson, H. Assume, & K. Hakuta (Eds.), Child development and education in Japan (pp. 262-272). New York: Freeman.
17. Hatano, G., Miyake, Y., & Binks, M. G. (1977). Performance of expert abacus operators. Cognition, 5, 57-71.
18. Hatano, G., & Osawa, K. (1983). Digit memory of grand experts in abacus-derived mental calculation. Cognition, 15, 95-110.
19. Kirsh, D. (1996) Adapting the environment instead of oneself. Adaptive Behavior, 4, 415-452.
20. Lewis, C., & Mack, R. (1982). Learning to use a text processing system: Evidence for thinking aloud protocols. Communications of the Association for Computing Machinery, 25, 387-392.
21. Luchins, A. S., & Luchins, E. H. (1959). Rigidity of behavior: A variational approach to the effect of einstellung. Eugene, OR: University of Oregon Books.
22. Martin, L. (2008). Prospective adaptation and representational tools. Unpublished doctoral dissertation, Stanford University, Stanford, CA.
23. Miyake, N., & Pea, R. (2007). Redefining learning goals of very long-term learning across many different fields of activity. Proceedings of the CSCL 2007: Computer Supported Collaborative Learning, 26-35. New Brunswick, NJ.
24. Novick, L. R. (1988). Analogical transfer, problem similarity, and expertise. Journal of Experimental Psychology:Learning, Memory, and Cognition, 14, 510-520.
25. Novick, L. R., & Hurley, S. M. (2001). To matrix, network, or hierarchy: That is the question. Cognitive Psychology, 42, 158-216.
26. Pea, R. D. (1985). Beyond amplification: Using the computer to reorganize mental functioning. Educational Psychologist, 20(4),167-182.
27. Petrosino, A. J., Lehrer, R., & Schauble, L. (2003). Structuring error and experimental variation as distribution in the fourth grade. Mathematical Thinking and Learning, 5(2&3), 131-156.
28. Rebellow, N. S., Zollman, D. A., Allbaugh, A. R., Englehardt, P. V., Gray, K. E., Hrepic, Z., & Itza-Ortiz, S. F. (2005). Dynamic transfer: A perspective from physics education research. In J. P. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 217-250). Greenwich, CT: Information Age Publishing.
29. Reeves, S., & Bell, P. (2009). Children's self-documentation and understanding of the concepts 'healthy' and 'unhealthy.' International Journal of Science Education., 31(14), 1953-1974.
30. Sander, E., & Richard, J. (1997). Analogical transfer as guided by an abstraction process: The case of learning by doing in text editing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(6), 1459-1483.
31. Schwartz, D. L. (1993). The construction and analogical transfer of symbolic visualizations. Journal of Research in Science Teaching, 30(10), 1309-1325.
32. Schwartz, D. L., Bransford, J. D., & Sears, D. (2005). Efficiency and innovation in transfer. In J. P. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 1-52). Greenwich, CT: Information Age Publishing.
33. Schwartz, D. L., & Martin, T. (2004). Inventing to prepare for future learning: The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22(2), 129-84.
34. Schwartz, D. L., Varma, S., & Martin, L. (2008). Dynamic transfer and innovation. In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 479-506). New York: Routledge.
35. Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense-making in mathematics. In D. Grouws (Ed.), Handbook for research on mathematics teaching and learning (pp. 334-370). New York: MacMillan.
36. Schoenfeld, A. H. (1985). Mathematical problem solving. Orlando, FL: Academic Press.
37. Stevens, R., Mertl, V., Levias, S., & McCarthy, L. (2006). Money matters: The social and material organization of consequential financial practices in families [summary]. In S. A. Barab, K. E. Hay, & D. T. Hickey (Eds.), Proceedings of the 7th International Conference of the Learning Sciences, Bloomington, Indiana (pp. 1088-1090), Mahwah, NJ: Lawrence Erlbaum Associates.
38. Strauss, S. (1982). U-shaped behavioral growth. New York: Academic Press.
39. VanLehn, K. (1996). Cognitive skill acquisition. Annual Review of Psychology, 47, 513-539.
40. White, S. S., Mueller-Hanson, R. A., Dorsey, D., Pulakos, E. D., Wisecarver, M. M., Deagle, E. A. (2005). Developing adaptive proficiency in special forces officers (ARI Research Report 1831). Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.
41. Wineburg, S. S. (1998). Reading Abraham Lincoln: An expert-expert study in the interpretation of historical texts. Cognitive Science, 22, 319-346.
42. Zhang, J. (1997). The nature of external representations in problem solving. Cognitive Science, 21(2), 179-217.