Technology, Pedagogy, and Epistemology: Opportunities and Challenges of Using Computer Modeling and Simulation Tools in Elementary Science Methods
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This study infused computer modeling and simulation tools in a 1-semester undergraduate elementary science methods course to advance preservice teachers’ understandings of computer software use in science teaching and to help them learn important aspects of pedagogy and epistemology. Preservice teachers used computer modeling and simulation tools within their own science investigations; discussed general technology issues; and explored, evaluated, and taught their peers about a particular modeling tool. Preservice teachers expanded their vision of the software available and the role that software can play in science teaching, but desired fun, easy-to-use software with scientifically accurate information within a clear, familiar learning task. Such conflict provided a fruitful platform for discussion and for potentially advancing preservice teachers’ pedagogical and epistemological understandings.
- Becker, H. J., Ravitz, J. L., & Wong, Y. (1999). Teacher and teacher directed student use of computers and software (Report #3). Irvine: University of California, Irvine, Center for Research on Information Technology and Organizations (CRITO).
- Bruce, B. C., & Levin, J. A. (1997). Educational technology: Media for inquiry, communication, construction, and expression. Journal of Educational Computing Research, 17(1), 79–102. CrossRef
- Bybee, R. W. (1997). Achieving scientific literacy: From purposes to practices. Portsmouth, NH: Heinemann.
- Carey, S., & Smith, C. (1993). On understanding the nature of scientific knowledge. Educational Psychologist, 28, 235–251. CrossRef
- Cullin, M., & Crawford, B. A. (2003). Using technology to support prospective science teachers in learning and teaching about scientific models. Contemporary Issues in Technology and Teacher Education, 2, 409–426.
- Driver, R., Leach, J., Millar, R., & Scott, P. (Eds.). (1996). Young people’s images of science. Philadelphia: Open University Press.
- Feurzeig, W. (1994). Preface: Special issue of interactive leaning environments on modeling and simulation in science education. Interactive Learning Environments, 4, 193–194. CrossRef
- Feurzeig, W., & Roberts, N. (Eds.). (1999). Computer modeling and simulation in science education. New York: Springer-Verlag.
- Gilbert, S. (1991). Model building and a definition of science. Journal of Research in Science Teaching, 28, 73–79. CrossRef
- Glaser, B. (1992). Basics of grounded theory analysis: Emergence vs forcing. Mill Valley, CA: Sociology Press.
- International Society for Technology in Education. (2003). National educational technology standards. Washington, DC: Author.
- International Technology Education Association. (2000). Standards for technological literacy: Content for the study of technology. Reston, VA: International Technology Education Association.
- Justi, R. S., & Gilbert, J. K. (2002). Science teachers’ knowledge about and attitudes towards the use of models and modeling in learning science. International Journal of Science Education, 24, 1273–1292. CrossRef
- Koch, J. (1996). Elementary school science and technology: A seamless connection. In L. Wolozin, L. Mafrici, & R. Bennett (Eds.), Science stories: Teachers and children as science learners (pp. 275–292). Boston: Houghton Mifflin.
- Lehrer, R., & Schauble, L. (2000). Modeling in mathematics and science. In R. Glaser (Ed.), Advances in instructional psychology: Vol. 5: Educational design and cognitive science (pp. 101–159). Englewood Cliffs, NJ: Erlbaum.
- Magnusson, S., Krajcik, J., & Borko, H. (1999). Nature, sources, and development of pedagogical content knowledge for science teaching. In J. Gess-Newsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge (pp. 95–132). Boston: Kluwer Academic Publishers.
- Martin, R., Sexton, C., & Gerlovich, J. (2001). How can you use educational technology to enrich your classroom? In N. Forsyth (Ed.), Teaching science for all children (pp. 392–421). Boston: Allyn and Bacon.
- Mellar, H., Bliss, J., Boohan, R., Ogborn, J., & Tompsett, C. (Eds.). (1994). Learning with artificial worlds: Computer based modeling in the curriculum. Washington, DC: Falmer.
- Morgan, M. S., & Morrison, M. (1999). Models as mediators: Perspectives on natural and social science. Cambridge, England: Cambridge University Press.
- Passmore, C., & Stewart, J. (2002). A modeling approach to teaching evolutionary biology in high schools. Journal of Research in Science Teaching, 39, 185–204. CrossRef
- Raghavan, K., & Glaser, R. (1995). Model-based analysis and reasoning in science: The MARS curriculum. Science Education, 79 (1), 37–61. CrossRef
- Resnick, M., Maloney, J., & Silverman, B. (2004). Scratch: Creating a “programming culture” at community technology centers. In Y. Kafai, W. Sandoval, N. Enyedy, A. Nixon, & F. Herrera (Eds.), Proceedings of the sixth international conference of the learning sciences (pp. 16–17). Mahwah, NJ: Erlbaum.
- Sandholtz, J. H., Ringstaff, C., & Dwyer, D. C. (1997). Teaching with technology: Creating student-centered classrooms. New York: Teachers College Press.
- Schwarz, C., & Gwekwerere, Y. (2007). Using a guided inquiry and modeling instructional framework (EIMA) to support pre-service K-8 science teaching. Science Education, 91(1), 158–186.
- Schwarz, C., Meyer, J., & Sharma, A. (2004). Preparing tomorrow’s teachers to use technology: Analysis of pre-service elementary and middle school teachers’ interactions with computer modeling and simulation tools. In Y. Kafai, W. Sandoval, N. Enyedy, A. Nixon, & F. Herrera (Eds.), Proceedings of the sixth international conference of the learning sciences (p. 633). Mahwah, NJ: Erlbaum.
- Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: Developing students’ understanding of scientific modeling. Cognition and Instruction, 23, 165–205. CrossRef
- Smith, C., Snir, J., & Grosslight, L. (1992). Using conceptual models to facilitate conceptual change: The case of weight-density differentiation. Cognition and Instruction, 9, 221–283. CrossRef
- Smith, C., Snir, J., & Raz, G. (April, 2002). Can middle schoolers understand the particulate theory of matter as an explanatory model? An exploratory study. Paper presented at the American Educational Research Association meeting, New Orleans, LA.
- Spitulnik, M., Krajcik, J., & Soloway, E. (1999). Construction of models to promote scientific understanding. In W. Feurzeig & N. Roberts (Eds.), Modeling and simulation in science and mathematics education (pp. 70–94). New York: Springer-Verlag.
- Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park, CA: Sage.
- U.S. Department of Education. (1996). Getting America’s students ready for the 21st century—Meeting the technology literacy challenge: A report to the nation on technology and education. Washington, DC: Author.
- U.S. Department of Education. (1998). Preparing tomorrow’s teachers to use technology. Washington, DC: Author.
- VanDriel, J. H., & Verloop, N. (2002). Experienced teachers’ knowledge of teaching and learning of models and modeling in science education. International Journal of Science Education, 24, 1255–1272. CrossRef
- White, B., & Frederiksen, J. (1998). Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16(1), 3–118. CrossRef
- Windschitl, M., & Sahl, K. (2002). Tracing teachers’ use of technology in a laptop computer school: The interplay of teacher beliefs, social dynamics, and institutional culture. American Educational Research Journal, 39, 165–205. CrossRef
- Zhao, Y., & Frank, K. A. (2003). Factors affecting technology uses in schools: An ecological perspective. American Educational Research Journal, 40, 807–840. CrossRef
- Technology, Pedagogy, and Epistemology: Opportunities and Challenges of Using Computer Modeling and Simulation Tools in Elementary Science Methods
Journal of Science Teacher Education
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