A pragmatic perspective on visual representation and creative thinking

REFERENCES

• Ashley, P. N. 1900. “Official Map of the County of Yolo, California.” Library of Congress, Map Collections. http://www.loc.gov/item/2004629226.
   Google Scholar
• Barron, F., and D. M. Harrington. 1981. “Creativity, Intelligence, and Personality.” Annual Review of Psychology 32 (1): 439–476. doi:10.1146/annurev.ps.32.020181.002255
   Web of Science ®Google Scholar
• Bowen, G. M., and W. M. Roth. 2002. “Why Students May Not Learn to Interpret Scientific Inscriptions.” Research in Science Education 32 (3): 303–327. doi:10.1023/A:1020833231966
   Web of Science ®Google Scholar
• Bransford, J. D., and D. L. Schwartz. 1999. “Rethinking Transfer: A Simple Proposal with Multiple Implications.” Review of Research in Education 24: 61–100.
   Web of Science ®Google Scholar
• Chambers, D., and D. Reisberg. 1985. “Can Mental Images Be Ambiguous?” Journal of Experimental Psychology: Human Perception and Performance 11 (3): 317–328. doi:10.1037/0096-1523.11.3.317
   Web of Science ®Google Scholar
• Chin, D. B., I. M. Dohmen, B. H. Cheng, M. A. Oppezzo, C. C. Chase, and D. L. Schwartz. 2010. “Preparing Students for Future Learning with Teachable Agents.” Educational Technology Research and Development 58 (6): 649–669. doi:10.1007/s11423-010-9154-5
   Web of Science ®Google Scholar
• Collins, A., and W. Ferguson. 1993. “Epistemic Forms and Epistemic Games: Structures and Strategies to Guide Inquiry.” Educational Psychologist 28 (1): 25–42. doi:10.1207/s15326985ep2801_3
   Web of Science ®Google Scholar
• Csikszentmihalyi, M. 1990. “The Domain of Creativity.” In Theories of Creativity, edited by M. A. Runco and R. S. Albert, 190–212. Newbury Park: Sage.
   Google Scholar
• Csikszentmihalyi, M. 1996. Creativity: Flow and the Psychology of Discovery and Invention. New York: Harper Perennial.
   Google Scholar
• Csikszentmihalyi, M., and J. Getzels. 1970. “Concern for Discovery: An Attitudinal Component of Creative Production 1.” Journal of Personality 38 (1): 91–105. doi:10.1111/j.1467-6494.1970.tb00639.x
   PubMed Web of Science ®Google Scholar
• Cummins, R. 1991. Meaning and Mental Representation. Cambridge, MA: MIT Press.
   Google Scholar
• Danish, J. A., and N. Enyedy. 2007. “Negotiated Representational Mediators: How Young Children Decide What to Include in Their Science Representations.” Science Education 91 (1): 1–35. doi:10.1002/sce.20166
   Web of Science ®Google Scholar
• Disessa, A. A., D. Hammer, B. L. Sherin, and T. Kolpakowski. 1991. “Inventing Graphing: Meta-Representational Expertise in Children.” Journal of Mathematical Behavior 10: 117–160.
   Google Scholar
• Disessa, A. A., and B. L. Sherin. 2000. “Meta-Representation: An Introduction.” Journal of Mathematical Behavior 19 (4): 385–398. doi:10.1016/S0732-3123(01)00051-7
   Google Scholar
• Dow, S. P., A. Glassco, J. Kass, M. Schwarz, D. L. Schwartz, and S. R. Klemmer. 2010. “Parallel Prototyping Leads to Better Design Results, More Divergence, and Increased Self-Efficacy.” ACM Transactions on Computer-Human Interaction (TOCHI) 17 (4): 1–24. doi:10.1145/1879831.1879836
   Web of Science ®Google Scholar
• Duncker, K. 1945. “On Problem-Solving.” Psychological Monographs 58 (5): i–113. doi:10.1037/h0093599
   Google Scholar
• Edelson, D. C., D. N. Gordin, and R. D. Pea. 1999. “Addressing the Challenges of Inquiry-Based Learning through Technology and Curriculum Design.” Journal of the Learning Sciences 8 (3–4): 391–450.
   Web of Science ®Google Scholar
• Enyedy, N. 2005. “Inventing Mapping: Creating Cultural Forms to Solve Collective Problems.” Cognition and Instruction 23 (4): 427–466. doi:10.1207/s1532690xci2304_1
   Web of Science ®Google Scholar
• Finke, R. A. 1990. Creative Imagery: Discoveries and Inventions in Visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Gentner, D., S. Brem, R. W. Ferguson, A. B. Markman, B. R. B. Levidow, P. Wolff, and K. D. Forbus. 1997. “Analogical Reasoning and Conceptual Change: A Case Study of Johannes Kepler.” Journal of the Learning Sciences. Special Issue: Conceptual change 6 (1): 3–40.
   Google Scholar
• Gentner, D., and J. Colhoun. 2010. “Analogical Processes in Human Thinking and Learning.” In Towards a Theory of Thinking, edited by B. Glatzeder, V. Goel, and A. Müller, 35–48. Heidelberg: Springer.
   Google Scholar
• Goldenberg, J., D. Mazursky, and S. Solomon 1999. “Essays on Science and Society: Creative Sparks”. Science 285: 1495–1496. doi:10.1126/science.285.5433.1495
   Web of Science ®Google Scholar
• Jacoby, W. R. 1981. “Modern Concepts of Earth Dynamics Anticipated By Alfred Wegener in 1912.” Geology 9 (1): 25–27. doi:10.1130/0091-7613(1981)9<25:MCOEDA>2.0.CO;2
   Web of Science ®Google Scholar
• Johnson-Laird, P. N. 1989. “Analogy and the Exercise of Creativity.” In Similarity and Analogical Reasoning, edited by S. Vosniadou and A. Ortony, 313–332. New York: Cambridge University Press.
   Google Scholar
• Kaiser, D. 2005. “Physics and Feynman’s Diagrams in the Hands of a Postwar Generation, a Tool Intended to Lead Quantum Electrodynamics Out of a Decades-Long Morass Helped Transform Physics.” American Scientist 93 (2): 156–165. doi:10.1511/2005.2.156
   Google Scholar
• Knoblich, G., S. Ohlsson, H. Haider, and D. Rhenius. 1999. “Constraint Relaxation and Chunk Decomposition in Insight Problem Solving.” Journal of Experimental Psychology: Learning, Memory, and Cognition 25 (6): 1534–1555. doi:10.1037/0278-7393.25.6.1534
   Web of Science ®Google Scholar
• Kossyln, S. 1980. Image and Mind. Cambridge, MA: Harvard University Press.
   Google Scholar
• Lehrer, R., and L. Schauble. 2000. “Inventing Data Structures for Representational Purposes: Elementary Grade Students’ Classification Models.” Mathematical Thinking and Learning 2 (1–2): 51–74.
   Google Scholar
• Leinhardt, G., O. Zaslavsky, and M. K. Stein. 1990. “Functions, Graphs, and Graphing: Tasks, Learning, and Teaching.” Review of Educational Research 60 (1): 1–64. doi:10.3102/00346543060001001
   Web of Science ®Google Scholar
• Maglio, P. P., T. Matlock, D. Raphaely, B. Chernicky, and D. Kirsh. 1999. “Interactive Skill in Scrabble.” Twenty-First Annual Conference of the Cognitive Science Society, 326–330. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Martin, L., and D. L. Schwartz. 2009. “Prospective Adaptation in the Use of External Representations.” Cognition and Instruction 27 (4): 370–400. doi:10.1080/07370000903221775
   Web of Science ®Google Scholar
• Martin, T., and D. L. Schwartz. 2005. “Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts.” Cognitive Science 29 (4): 587–625. doi:10.1207/s15516709cog0000_15
   PubMed Web of Science ®Google Scholar
• Mcleod, K. S. 2000. “Our Sense of Snow: The Myth of John Snow in Medical Geography.” Social Science & Medicine 50 (7–8): 923–935.
   PubMed Web of Science ®Google Scholar
• Petrosino, A. J., R. Lehrer, and L. Schauble. 2003. “Structuring Error and Experimental Variation as Distribution in the Fourth Grade.” Mathematical Thinking and Learning 5 (2–3): 131–156.
   Google Scholar
• Piaget, J. 1952. The Origins of Intelligence in Children. New York: International Universities Press.
   Google Scholar
• Rocke, A. J. 1985. “Hypothesis and Experiment in the Early Development of Kekulé’s Benzene Theory.” Annals of Science 42 (4): 355–381. doi:10.1080/00033798500200411
   Web of Science ®Google Scholar
• Rogers, M. 2012. “Building a Creative Community: Emergent Practices and Learning from a Seven-Week Innovation Camp.” Unpublished doctoral dissertation, Stanford University.
   Google Scholar
• Runco, M. A. 2004. “Creativity.” Annual Review of Psychology 55: 657–687. doi:10.1146/annurev.psych.55.090902.141502
   PubMed Web of Science ®Google Scholar
• Runco, M. A., and I. Chand. 1995. “Cognition and Creativity.” Educational Psychology Review 7 (3): 243–267. doi:10.1007/BF02213373
   Web of Science ®Google Scholar
• Sawyer, R. K. 2012. Explaining Creativity: The Science of Human Innovation. New York: Oxford University Press.
   Google Scholar
• Schoenfeld, A. 1985. Mathematical Problem Solving. Orlando, FL: Academic Press.
   Google Scholar
• Schwartz, D. L. 1993. “The Construction and Analogical Transfer of Symbolic Visualizations.” Journal of Research in Science Teaching 30 (10): 1309–1325. doi:10.1002/tea.3660301011
   Web of Science ®Google Scholar
• Schwartz, D. L., C. C. Chase, and J. D. Bransford. 2012. “Resisting Overzealous Transfer: Coordinating Previously Successful Routines with Needs for New Learning.” Educational Psychologist 47: 204–214. doi:10.1080/00461520.2012.696317
   Web of Science ®Google Scholar
• Schwartz, D. L., and J. Heiser. 2006. “Spatial Representations and Imagery in Learning.” In The Cambridge Handbook of the Learning Sciences, edited by R. K. Sawyer, 283–298. New York: Cambridge University Press.
   Google Scholar
• Shepard, R. N. 1978. “The Mental Image.” American Psychologist 33 (2): 125–137. doi:10.1037/0003-066X.33.2.125
   Web of Science ®Google Scholar
• Thagard, P., and T. C. Stewart. 2011. “The Aha! Experience: Creativity Through Emergent Binding in Neural Networks.” Cognitive Science 35 (1): 1–33. doi:10.1111/j.1551-6709.2010.01142.x
   PubMed Web of Science ®Google Scholar
• Thelen, E., and L. B. Smith. 1994. A Dynamic Systems Approach to the Development of Cognition and Action. Cambridge, MA: MIT Press.
   Google Scholar
• Tufte, E. R. 1983. The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.
   Google Scholar
• Zhang, J. 1997. “The Nature of External Representations in Problem Solving.” Cognitive Science 21 (2): 179–217. doi:10.1207/s15516709cog2102_3.
   Web of Science ®Google Scholar