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BUILDING CONNECTIONS BETWEEN A CULTURAL PRACTICE AND MODELING IN SCIENCE EDUCATION

  • Alfred R. SchademanEmail author
Article

Abstract

The purpose of this study is to examine the kinds of reasoning that African American young men learn and develop when playing Spades, a common cultural practice in African American communities. The qualitative study found that the Spades players routinely consider multiple variables and their mathematical relationships when making decisions. The variables considered by the players when bidding include card strength, the number of cards held in any particular suit, player bidding tendencies, player levels of expertise, the current score of the game, and the level of confidence in one’s partner. The paper claims that the forms of reasoning explored in this study connect well to those of scientists who engage in modeling: a central practice in science. A major implication is that model-based instruction in science classrooms is akin to cultural modeling (Lee in American Educational Research Journal, 38(1), 97–141, 2001), as the pedagogy leverages the assets and resources of African American young men learned through cultural practice. Such pedagogies could therefore have a positive effect upon engagement and achievement of African American young men in science.

Key words

African American cultural practice model-based instruction modeling science education Spades 

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REFERENCES

  1. Clark, A. (1997). Being there: Putting the brain, body and world together again. Cambridge, MA: MIT Press.Google Scholar
  2. Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 9(1), 1041–1053.CrossRefGoogle Scholar
  3. Collins, A. & Gentner, D. (1987). How people construct mental models. In D. Holland & N. Quinn (Eds.), Cultural models in thought and language (pp. 243–265). Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  4. Elmesky, R. (2005). “I am science and the world is mine”: Embodied practices as resources for empowerment. School Science and Mathematics, 105(7), 335–342.CrossRefGoogle Scholar
  5. Elmesky, R. & Seiler, G. (2007). Movement expressiveness, solidarity and the (re)shaping of African American students’ scientific identities. Cultural Studies of Science Education, 2, 73–103.CrossRefGoogle Scholar
  6. Elmesky, R. & Tobin, K. (2005). Expanding our understandings of urban science education by expanding the roles of students as researchers. Journal of Research in Science Teaching, 42(7), 807–828.CrossRefGoogle Scholar
  7. Gay, G. (2000). Culturally responsive teaching: Theory, research and practice. New York: Teachers College Press.Google Scholar
  8. Gentner, D. (2002). Analogy in scientific discovery: The case of Johannes Keppler. In L. Magnani & N. J. Nersessian (Eds.), Model-based reasoning: Science, technology, values (pp. 21–40). New York: Kluwer Academic/Plenum.CrossRefGoogle Scholar
  9. Giere, R. (2002). Scientific cognition as distributed cognition. In P. Carruthers, S. P. Stich & M. Siegal (Eds.), The cognitive basis of science (pp. 285–300). Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  10. Gonzalez, N., Moll, L. & Amanti, C. (2005). Funds of knowledge: Theorizing practices in households, communities, and classrooms. Mahwah, NJ: Erlbaum.Google Scholar
  11. Harrison, A. G. & Treagust, D. F. (2000). A typology of school science models. International Journal of Science Education, 22(9), 1011–1026.CrossRefGoogle Scholar
  12. Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.Google Scholar
  13. Jackson, J., Dukerich, L. & Hestenes, D. (2008). Modeling instruction: An effective pedagogy for science education. Science Educator, 17(1), 10–17.Google Scholar
  14. Johnson, D. & Johnson, R. (1994). Learning together and alone, cooperative, competitive, and individualistic learning. Needham Heights, MA: Prentice-Hall.Google Scholar
  15. Lee, C. D. (2001). Is October brown Chinese? A cultural modeling activity system for underachieving students. American Educational Research Journal, 38(1), 97–141.CrossRefGoogle Scholar
  16. Matthews, M. R. (2007). Models in science and in science education: An introduction. Science and Education, 16, 647–652.CrossRefGoogle Scholar
  17. Monroe County Department of Health (2006). Summary report: Durand Beach operating season 2006. Rochester, NY: Monroe County Department of Health.Google Scholar
  18. Morrison, G. & Lamb, Y. R. (2005). Rise and fly: Tall tales and mostly true rules of Bid Whist. New York: Three Rivers Press.Google Scholar
  19. National Assessment of Educational Progress (2006). The nation’s report card: Science 2005 assessment of student performance in grades 4, 8, and 12. Retrieved June 11, 2007, from http://nces.ed.gov/nationsreportcard/pdf/main2005/2006466.pdf.
  20. Rea-Ramirez, M. A., Clement, J. & Nunez-Oviedo, M. C. (2008). An instructional model derived from model construction and criticism theory. In J. L. Clement & M. A. R. Ramirez (Eds.), Model based learning and instruction in science. New York: Springer.Google Scholar
  21. Rogoff, B. (1995). Observing sociocultural activity on three planes: participatory appropriation, guided participation, and apprenticeship. In J. V. Wertsch, P. D. Rio & A. Alvarez (Eds.), Sociocultural studies of mind. New York: Cambridge University Press.Google Scholar
  22. Schademan, A. R. (2011). What does playing cards have to do with science? A resource-rich view of African American young men. Cultural Studies of Science Education, 6, 361–380.CrossRefGoogle Scholar
  23. Schademan, A. R., Ares, N. & González, N. (2010). Negotiating hybridity in youth cultural practice. In N. Ares (Ed.), Youthful productions: Cultural practices and constructions of content and social spaces. New York: Peter Lang.Google Scholar
  24. Schwartz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Archer, A., Schwartz, Y., Hug, B. & Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632–654.CrossRefGoogle Scholar
  25. Seiler, G. (2001). Reversing the “standard” direction: Science emerging from the lives of African American students. Journal of Research in Science Teaching, 38(9), 1000–1014.CrossRefGoogle Scholar
  26. Seiler, G., Tobin, K. & Sokolic, J. (2001). Design, technology, and science: Sites for learning, resistance, and social reproduction in urban schools. Journal of Research in Science Teaching, 38(7), 746–767.CrossRefGoogle Scholar
  27. Vosniadou, S. (2002). Mental models in conceptual development. In L. Magnani & N. J. Nersessian (Eds.), Model-based reasoning: Science, technology, values. New York: Kluwer Academic/Plenum.Google Scholar
  28. Vosniadou, S. & Brewer, W. F. (1992). Mental models of the earth: A study of conceptual change in childhood. Cognitive Psychology, 24, 535–585.CrossRefGoogle Scholar
  29. Vygotsky, L. S. (1987). Thought and word. In R. W. Rieber & A. S. Carton (Eds.), The collected works of L. S. Vygotsky Volume 1: Problems of general psychology. New York: Plenum Press.Google Scholar
  30. Windschitl, M., Thompson, J. & Braaten, M. (2008). How novice science teachers appropriate epistemic discourses around model-based inquiry for use in classrooms. Cognition and Instruction, 26(3), 310–378.CrossRefGoogle Scholar

Copyright information

© Ministry of Science and Technology, Taiwan 2014

Authors and Affiliations

  1. 1.California State University, ChicoChicoUSA

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