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Strong Discipline Knowledge Cuts Both Ways for Novice Mathematics and Science Teachers

  • Allyson Hallman-ThrasherEmail author
  • Jeff Connor
  • Derek Sturgill
Article

Abstract

This paper presents the findings of a group of teacher candidates with undergraduate degrees in a STEM discipline who were followed through an intensive 1-year preparation program and their 1st year of teaching. We report on the affordances and challenges participants’ discipline knowledge presented to developing pedagogical content knowledge during their student teaching experience and their 1st year of teaching. The participants were interviewed at 3 different times: the start of their teacher preparation program, the end of a year-long clinical teaching experience, and the end of their 1st year of teaching. Their mentor teachers were interviewed at the end of the participants’ year of student teaching. Each semi-structured interview included questions regarding the participants’ discipline backgrounds and transition to teaching. The interviews were coded and analyzed to identify emergent themes. We found that having mathematics or science discipline knowledge allowed for several affordances: participants could focus on teaching, readily provide alternative explanations, and incorporate additional resources into lessons. A challenge of their discipline knowledge, possibly exacerbated by biased views of their disciplines, was making content accessible to students. We consider these findings in light of a framework we have developed for mathematics and science teacher pedagogical content knowledge. We suggest teacher preparation programs for teacher candidates with mathematics and science undergraduate degrees need not only devote specialized attention to connecting that content knowledge to teaching but also engage these prospective teachers in situations that purposefully make evident to them the need to attend to student thinking.

Keywords

Pedagogical content knowledge Preservice teacher education STEM Teacher knowledge 

Notes

Compliance with Ethical Standards

This material is based upon work supported by the Ohio University Baker Fund and Woodrow Wilson National Fellowship Organization. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of Ohio University or the Woodrow Wilson Fellowship Organization.

Supplementary material

10763_2017_9871_MOESM1_ESM.docx (55 kb)
ESM 1 (DOCX 54 kb)

References

  1. Ball, D., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59, 389–407.  https://doi.org/10.1177/00224 87108324554.CrossRefGoogle Scholar
  2. Cuoco, A., Goldenberg, E. P., & Mark, J. (1996). Habits of mind: An organizing principle for mathematics curricula. The Journal of Mathematical Behavior, 15, 375–402. Retrieved from http://nrich.maths.org/content/id/9968/Cuoco_etal-1996.pdf.CrossRefGoogle Scholar
  3. Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods. New York, NY: McGraw-Hill.Google Scholar
  4. Denzin, N. K., & Lincoln, Y. S. (2000). Introduction: The discipline and practice of qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (2nd ed., pp. 1–28). Thousand Oaks, CA: Sage.Google Scholar
  5. Diezmann, C. M., & Watters, J. J. (2015). The knowledge base of subject matter experts in teaching: A case study of a professional scientist as a beginning teacher. International Journal of Science and Mathematics Education, 13, 1517–1537.  https://doi.org/10.1007/s10763-014-9561-x.CrossRefGoogle Scholar
  6. Friedrichsen, P., van Driel, J. H., & Abell, S. K. (2011). Taking a closer look at science teaching orientations. Science Education, 95, 358–376.  https://doi.org/10.1002/sce.20428.CrossRefGoogle Scholar
  7. Goos, M. (2013). Knowledge for teaching secondary school mathematics: What counts? International Journal of Mathematical Education in Science and Technology, 44, 972–983.  https://doi.org/10.1080/0020739X.2013.826387.CrossRefGoogle Scholar
  8. Grier, J. M., & Johnston, C. C. (2008). STEM career-changers transition to teaching: I have to become a student again? Paper presented at the National Association of Research in Science Teaching Annual International Conference. Baltimore, MD. Retrieved from http://eric.ed.gov/ERICWebPortal/record Detail?accno=ED501492.
  9. Grier, J. M., & Johnston, C. C. (2009). An inquiry into the development of teacher identities in STEM career changers. Journal of Science Teacher Education, 20, 57–75.  https://doi.org/10.1007/s10972-008-9119-2.CrossRefGoogle Scholar
  10. Grier, J. M., & Johnston, C. C. (2011). STEM professionals entering teaching: Navigating multiple identities. Journal of Science Teacher Education, 23, 19–44.  https://doi.org/10.1007/s10972-011-9260-1.CrossRefGoogle Scholar
  11. Hiebert, J., Gallimore, R., & Stigler, J. (2002). A knowledgebase for the teaching profession: What would it look like and how can we get one? Educational Researcher, 31, 3–15.CrossRefGoogle Scholar
  12. Horn, I. S., (2009). The development of pedagogical content knowledge in collaborative high school teacher communities. Paper presented at the Psychology in Mathematics Education Annual Meeting, Atlanta.Google Scholar
  13. Ingersoll, R. M. (2001). Teacher turnover and teacher shortages: An organizational analysis. American Educational Research Journal, 38, 499–534.  https://doi.org/10.3102/00028312038003499.CrossRefGoogle Scholar
  14. Ingersoll, R. M., & Smith, T. M. (2003). The wrong solution to the teacher shortage. Educational Leadership, 60(8), 30–33. Retrieved from https://pdfs.semanticscholar.org/62eb/a3fb558446a652222515d542f1db53dd34a6.pdf.Google Scholar
  15. Kagan, D. M. (1992). Professional growth among preservice and beginning teachers. Review of Educational Research, 62, 129–169.  https://doi.org/10.3102/00346543062002129.CrossRefGoogle Scholar
  16. Lannin, J. K., Webb, M., Chval, K., Arbaugh, F., Hicks, S., Taylor, C., & Bruton, R. (2013). The development of beginning mathematics teacher pedagogical content knowledge. Journal of Mathematics Teacher Education, 6, 403–426.  https://doi.org/10.1007/s10857-013-9244-5.CrossRefGoogle Scholar
  17. Latterell, C. (2009). Interesting science and mathematics graduate students in secondary teaching. School Science and Mathematics, 109, 188–196.  https://doi.org/10.1111/j.1949-8594.2009.tb18257.x.CrossRefGoogle Scholar
  18. Lawrenz, F., Bowe, A., Braam, M., Kirchhoff, Liou, P., & Madsen, C. (2009). University of Minnesota evaluation of the Robert Noyce Teacher Scholarship Program: Final summary report. Retrieved at http://www.cehd.umn.edu/EdPsych/NOYCE/Reports/default.html
  19. Lee, E., Brown, M. N., Luft, J. A., & Roehrig, G. H. (2007). Assessing beginning secondary science teachers’ PCK: Pilot study results. School Science and Mathematics, 107(2), 52–60.CrossRefGoogle Scholar
  20. Lee, E., & Luft, J. A. (2008). Experienced secondary science teachers’ representation of pedagogical content knowledge. International Journal of Science Education, 30, 1343–1363.  https://doi.org/10.1080/09500690802187058.CrossRefGoogle Scholar
  21. Magnusson, S., Krajcik, L., & Borko, H. (1999). Nature, sources and development of pedagogical content knowledge. In J. Gess-Newsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge (pp. 95–132). Dordrecht: Kluwer.Google Scholar
  22. Marks, R. (1990). Pedagogical content knowledge: From a mathematical case to a modified conception. Journal of Teacher Education, 41, 3–11.  https://doi.org/10.1177/ 002248719004100302.CrossRefGoogle Scholar
  23. McEwan, H., & Bull, B. (1991). The pedagogic nature of subject matter knowledge. American Educational Research Journal, 28, 316–334.  https://doi.org/10.3102/000283 12028002316.CrossRefGoogle Scholar
  24. Monk, D. H. (1994). Subject area preparation of secondary mathematics and science teachers and student achievement. Economics of Education Review, 13, 125–145.  https://doi.org/10.1016/02 72-7757(94)90003-5.CrossRefGoogle Scholar
  25. Nathan, M. J., Koedinger, K. R., & Alibali, M. W. (2001). Expert blind spot: When content knowledge eclipses pedagogical content knowledge. In L. Chen et al. (Eds.), Proceedings of the third international conference on cognitive science (pp. 644–648). Beijing: University of Science and Technology of China Press.Google Scholar
  26. Nathan, M. J., & Petrosino, A. (2003). Expert blind spot among preservice teachers. American Education Research Journal, 40, 905–928. Retrieved from http://pact.cs.cmu.edu/pubs/2001_NathanEtAl_ICCS_EBS.pdf.CrossRefGoogle Scholar
  27. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.Google Scholar
  28. National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA: Author.Google Scholar
  29. National Research Council. (2011). A framework for K–12 science education: Practices, cross-cutting concepts, and core ideas. Washington, DC: National Academies Press.Google Scholar
  30. National Science Teachers Association. (2003). Standards for science teacher preparation. Arlington, TX: National Science Teachers Association.Google Scholar
  31. National Science Teachers Association. (2004). Science teacher preparation. Available at http://www.nsta.org/about/positions/preparation.aspx
  32. Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.  https://doi.org/10.3102/0013189X01500200.CrossRefGoogle Scholar
  33. Snyder, C., Oliveira, A. W., & Paska, L. M. (2013). STEM career changers’ transformation into science teachers. Journal of Science Teacher Education, 24, 617–644.  https://doi.org/10.1007/s10972-012-9325-9.CrossRefGoogle Scholar
  34. Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
  35. Vierra, V. A. (2011). A comparison study of the pedagogical content knowledge of single subject mathematics credential candidates (Doctoral dissertation). University of California, Santa Barbara. Retrieved from http://media.proquest.com/media/pq/classic/doc/2596936441/fmt/ai/rep/NPDF?_s=yN%2BRjynKVAyejYnroJ5lpARpxT4%3D (UMI No. 3495767).
  36. Wilson, S. (2011). Effective STEM teacher preparation, induction, and professional development. Paper presented at the National Research Council Workshop on Successful STEM Education in K–12 Schools, Washington, DC. Retrieved from http://sites.nationalacademies.org/cs/groups/dbassesite/ documents/webpage/dbasse_072640.pdf.

Copyright information

© Ministry of Science and Technology, Taiwan 2017

Authors and Affiliations

  1. 1.Department of Teacher Education and Department of MathematicsOhio UniversityAthensUSA
  2. 2.Department of MathematicsOhio UniversityAthensUSA
  3. 3.Department of Teacher EducationOhio UniversityAthensUSA

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