Knowledge Restructuring in Biology: Testing a Punctuated Model of Conceptual Change
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Emerging from a human constructivist view of learning and a punctuated model of conceptual change, these studies explored differences in the structural complexity and content validity of knowledge about prehistoric life depicted in concept maps by learners ranging in age from approximately 10 to 20 years. Study 1 (cross-age) explored the frequencies of concepts, relationships, levels of hierarchy, branching, and cross-links in concept maps drawn by students in grades 5, 8, 11, 13, and 14. The results provide some support for a punctuated model of conceptual change. Study 2 (longitudinal) explored the same frequencies on repeated occasions among students enrolled in a college course on prehistoric life, and documented the shift in frequencies of “novice” and “expert” concepts occurring during the semester. The results suggest that college students engage in much restructuring of their knowledge frameworks during the period of a semester. Together, the two studies raise questions about common classroom practices that encourage the rote learning of biology and geology concepts at all levels.
- American Association for the Advancement of Science (AAAS) (1993). Benchmarks for science literacy. New York: Oxford University Press.
- Arnaudin, M.W. (1985). Concept mapping in biology. In J. Mintzes (Ed.), Concepts of modern biology. Dubuque, IA: Kendall/Hunt.
- Arnaudin, M.W. & Mintzes, J.J. (1985). Students alternative conceptions of the human circulatory system: A cross-age study. Science Education, 69(5), 721–733. CrossRef
- Ausubel, D.P., Novak, J.D. & Hanesian, H. (1978). Educational psychology: A cognitive view. New York: Holt, Rinehart & Winston.
- Barney, E., Mintzes, J.J. & Yen, C-F. (2005). Assessing knowledge, attitudes and behavior toward charismatic megafauna: The case of dolphins. Journal of Environmental Education, 36(2), 41–56. CrossRef
- Benton, J., Mintzes, J., Kendrick, A. & Solomon, R. (1993). Alternative conceptions in sexually-transmitted diseases. Journal of Sex Education and Therapy, 19(3), 165–182.
- Carey, S. (1986). Cognitive science and science education. American Psychologist, 41, 1123–1130. CrossRef
- Carey, S. (1987). Conceptual development in childhood. Cambridge, MA: MIT Press.
- Chi, M., Glaser, R. & Farr, M. (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.
- Dobzhansky, T. (1937). Genetics and the origin of species. New York: Columbia University Press.
- Dodick, J. & Orion, N. (2003a). Cognitive factors affecting student understanding of geologic time. Journal of Research in Science Teaching, 40(4), 415–442. CrossRef
- Dodick, J. & Orion, N. (2003b). Introducing evolution to non-biology majors via the fossil record: A case study from the Israeli high school system. The American Biology Teacher, 65(3), 185–190. CrossRef
- Dodick, J. & Orion, N. (2003c). Measuring student understanding of “deep time.” Science Education, 87(5), 708–731. CrossRef
- Eldredge, N. & Gould, S. (1972). Punctuated equilibria: An alternative to phyletic gradualism. In T.M.J. Schopf (Ed.), Models in paleobiology. San Francisco, CA: Freeman.
- Gobbo, C. & Chi, M. (1986). How knowledge is structured and used by expert and novice children. Cognitive Development, 1, 221–237. CrossRef
- Good, R., Trowbridge, J., Demastes, S., Wandersee, J.H., Hafner, M.S. & Cummins, C.C. (1992). Proceedings of the evolution education research conference, December 4–5, Baton Rouge, LA: Louisiana State University.
- Gould, S.J. (2002). The structure of evolutionary theory. Cambridge, MA: Belknap Press of the Harvard University Press.
- Markham, K., Mintzes, J. & Jones, M.G. (1994). The concept map as a research and evaluation tool: Further evidence of validity. Journal of Research in Science Teaching, 31, 91–101. CrossRef
- Martin, B., Mintzes J. & Clavijo, I. (1998). Restructuring knowledge in biology: Cognitive processes and metacognitive reflections. International Journal of Science Education, 22(3), 303–324. CrossRef
- Mintzes, J., Wandersee, J. & Novak, J. (1997). Meaningful learning in science: The human constructivist perspective. In G.D. Phye (Ed.), Handbook of academic learning: Construction of knowledge. San Diego, CA: Academic Press.
- Mintzes, J., Wandersee, J. & Novak, J. (Eds.) (1998). Teaching science for understanding: A human constructivist view. San Diego, CA: Academic Press.
- Mintzes, J., Wandersee, J. & Novak, J. (Eds.) (2000). Assessing science understanding: A human constructivist view. San Diego, CA: Academic Press.
- Mintzes, J., Wandersee, J. & Novak, J. (2001). Assessing understanding in biology. Journal of Biological Education, 35(3), 118–124.
- National Research Council (1996). National science education standards. National Committee on Science Education Standards and Assessment. Coordinating Council for Education. Washington, DC: National Academy Press.
- Ni, Y. (1998). Cognitive structure, content knowledge, and classificatory reasoning. The Journal of Genetic Psychology, 159(3), 280–296. CrossRef
- North Carolina Department of Public Instruction (2000). North Carolina standard course of study. Raleigh, NC: NCDPI.
- Novak, J. (1978). A theory of education. Ithaca, NY: Cornell University Press.
- Novak, J. (1998). Learning, creating and using knowledge: Concept maps as facilitative tools in schools and corporations. Mahwah, NJ: Erlbaum.
- Novak, J. & Gowin, D.B. (1984). Learning how to learn. Cambridge, UK: Cambridge University Press.
- Patton, M.Q. (1980). Qualitative evaluation methods. Beverly Hills, CA:Sage Publications.
- Pearsall, N.R., Skipper, J. & Mintzes, J. (1997). Knowledge restructuring in the life sciences: A longitudinal study of conceptual change in biology. Science Education, 81, 193–215. CrossRef
- Quinn, H.C., Mintzes, J.J. & R.A. Laws (2003). Successive concept mapping: Assessing understanding in college science classes. Journal of College Science Teaching, 33(3), 12–17.
- Rumelhart, D.E. & Norman, D. (1978). Accretion, tuning and restructuring: Three modes of learning. In J.W. Cotton & R.L. Klateky (Eds.), Semantic factors in cognition. Hillsdale, NJ: Erlbaum.
- SAS Institute (1994). JMP: Statistics made visual. Research Triangle Park, NC: SAS Institute.
- Schmeck, R., Ribich, F. & Ramaniah, N. (1977). Development of a self-report inventory for assessing individual differences in learning processes. Applied Psychological Measurement, 1, 413–431. CrossRef
- Shavelson, R. & Ruiz-Primo, M. (2000). On the psychometrics of assessing science understanding. In J. Mintzes, J. Wandersee & J. Novak (Eds.), Assessing science understanding: A human constructivist view. San Diego, CA: Academic Press.
- Sokal, R. & Rohlf, F. (1969). Biometry. San Francisco, CA: Freeman.
- Songer, C. & Mintzes, J. (1994). Understanding cellular respiration: An analysis of conceptual change in college biology. Journal of Research in Science Teaching, 31, 621–637. CrossRef
- Thompson, T. & Mintzes, J. (2002). Cognitive structure and the affective domain: On knowing and feeling in biology. International Journal of Science Education, 24(6), 645–660. CrossRef
- University of North Carolina at Wilmington (2002). UNCW bulletin 53. Undergraduate catalogue: The University of North Carolina at Wilmington. Wilmington, NC: UNCW.
- Wallace, J. & Mintzes, J. (1990). The concept map as a research tool: Exploring conceptual change in biology. Journal of Research in Science Teaching, 27(10), 1033–1052.
- Wandersee, J., Mintzes, J. & Novak, J. (1994). Research on alternative conceptions in science. In D. Gabel (Ed.), Handbook of research on science teaching and learning. New York: MacMillan.
- Knowledge Restructuring in Biology: Testing a Punctuated Model of Conceptual Change
International Journal of Science and Mathematics Education
Volume 5, Issue 2 , pp 281-306
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