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Building Capacity in Statistics Teacher Education

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Abstract

This chapter focuses on building capacity in statistics teacher education, with a twofold purpose. First, this chapter reviews prior research into the professional development of teachers of statistics (elementary, middle, secondary, and tertiary teachers). This provides an overview of different approaches to professional development for teachers of statistics, challenges statistics educators face when building professional development programs, and lessons learned that can inform directions for future research. Second, this chapter looks forward by outlining major challenges, gaps in our knowledge base, and important directions for future research in the professional development of teachers of statistics. We outline a vision for the future of professional development that focuses on building capacity through a strongly integrated focus on practice, content, and technology.

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References

  • American Statistical Association. (2016). Guidelines for assessment and instruction in statistics education (GAISE): College report. Alexandria, VA: Author.

    Google Scholar 

  • Batanero, C., Gea, M. M., Díaz, C., & Cañadas, G. R. (2014). Building high school prospective teachers’ knowledge to teach correlation and regression. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. Voorburg, The Netherlands: International Statistical Institute.

    Google Scholar 

  • Batanero, C., Godino, J. D., & Roa, R. (2004). Training teachers to teach probability. Journal of Statistics Education, 12(1).

    Google Scholar 

  • Ben-Zvi, D. (2000). Toward understanding the role of technological tools in statistical learning. Mathematical Thinking and Learning, 2(1&2), 127–155.

    Article  Google Scholar 

  • Biehler, R., Ben-Zvi, D., Bakker, A., & Makar, K. (2013). Technology for enhancing statistical reasoning at the school level. In M. A. Clements, A. Bishop, C. Keitel, J. Kilpatrick, & F. Leung (Eds.), Third international handbook of mathematics education (pp. 643–690). New York: Springer.

    Google Scholar 

  • Blair, R., Kirkman, E. E., & Maxwell, J. W. (2013). Statistical abstract of undergraduate programs in the mathematical sciences in the United States (Fall 2010 conference board of mathematical sciences survey). American Mathematical Society.

    Google Scholar 

  • Browning, C., Goss, J., & Smith, D. (2014). Statistical knowledge for teaching: Elementary preservice teachers. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Cajkler, W., & Wood, P. (2016a). Lesson study and pedagogic literacy in initial teacher education: Challenging reductive models. British Journal of Educational Studies, 64(4), 503–521.

    Article  Google Scholar 

  • Cajkler, W., & Wood, P. (2016b). Adapting ‘lesson study’ to investigate classroom pedagogy in initial teacher education: What student-teachers think. Cambridge Journal of Education, 46(1), 1–18.

    Article  Google Scholar 

  • Canada, D. (2006). Elementary prospective teachers’ conceptions of variation in a probability context. Statistics Education Research Journal, 5(1), 36–64.

    Google Scholar 

  • Chance, B., Ben-Zvi, D., Garfield, J., & Medina, E. (2007). The role of technology in improving student learning of statistics. Technology Innovations in Statistics Education, 1(1), Article 2.

    Google Scholar 

  • Confrey, J., Makar, K., & Kazak, S. (2004). Undertaking data analysis of student outcomes as professional development. International Journal of Mathematics Education, 36(1), 32–40.

    Google Scholar 

  • Dolor, J., & Noll, J. (2015). Using guided reinvention to develop teachers’ understanding of hypothesis testing concepts. Statistics Education Research Journal, 14(1), 60–89.

    Google Scholar 

  • Finzer, W. (2012). Fathom Dynamic Data Software (Version 2.13) [Computer software]. Emeryville, CA: Key Curriculum Press and KCP Technologies.

    Google Scholar 

  • Franklin, C. (2014). The statistical education of teachers (SET): An American Statistical Association policy document. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., et al. (2005). Guidelines for assessment and instruction in statistics education (GAISE) report: A preK-12 curriculum framework. Alexandria, VA: American Statistical Association.

    Google Scholar 

  • Froelich, A. G., Duckworth, W. M., & Stephenson, W. R. (2005). Training statistics teachers at Iowa State University. The American Statistician, 59(12), 8–10.

    Article  Google Scholar 

  • Garfield, J., & Ben-Zvi, D. (2008). Developing students’ statistical reasoning: Connecting research and teaching practice. New York: Springer.

    Google Scholar 

  • Garfield, J., delMas, R., & Chance, B. (2005). The impact of Japanese lesson study on teachers of statistics. Paper presented at the Joint Statistical Meetings, Minneapolis, MN.

    Google Scholar 

  • Garfield, J., delMas, R., & Chance, B. (2007). Using students’ informal notions of variability to develop an understanding of formal measures of variability. In M. Lovett & P. Shah (Eds.), Thinking with data (pp. 117–147). New York, NY: Lawrence Erlbaum.

    Google Scholar 

  • Garfield, J., & Everson, M. (2009). Preparing teachers of statistics: A graduate course for future teachers. Journal of Statistics Education, 17(2).

    Google Scholar 

  • Gelman, A. (2005). A course on teaching statistics at the university level. The American Statistician, 59(1), 4–7.

    Article  Google Scholar 

  • Gould, R. (2010). Statistics and the modern students. International Statistical Review, 78(2), 297–315.

    Article  Google Scholar 

  • Gravemeijer, K. (2004). Creating opportunities for students to reinvent mathematics. Proceedings of the 10th International Congress in Mathematics Education (pp. 4–11). Denmark. Online: http://www.staff.science.uu.nl/~savel101/edsci10/literature/gravemeijer1994.pdf.

  • Groth, R. E., & Xu, S. (2011). Preparing teachers through case analyses. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education (a Joint ICMI/IASE Study) (pp. 371–381). New York, NY: Springer.

    Chapter  Google Scholar 

  • Green, J. L., & Blankenship, E. E. (2013). Primarily statistics: Developing an introductory statistics course for pre-service elementary teachers. Journal of Statistics Education, 21(3).

    Google Scholar 

  • Hall, J. (2011). Engaging teachers and students with real data: Benefits and challenges. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education (a Joint ICMI/IASE Study) (pp. 335–346). New York, NY: Springer.

    Chapter  Google Scholar 

  • Harkness, W., & Rosenberg, J. (2005). Training graduate students at Penn State University to teach statistics. The American Statistician, 59(12), 11–14.

    Article  Google Scholar 

  • Heaton, R. M., & Mickelson, W. T. (2002). The learning and teaching of statistical investigation in teaching and teacher education. Journal of Mathematics Teacher Education, 5(1), 35–59.

    Article  Google Scholar 

  • Henriques, A., & Ponte, J. P. (2014). Preparing teachers to teach statistics: Developing professional knowledge and practice. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Kelly, A. E., Lesh, R. A., & Baek, J. Y. (Eds.). (2008). Handbook of design research methods in mathematics education: Innovations in science, technology, engineering, and mathematics learning and teaching. New York, NY: Routledge.

    Google Scholar 

  • Konold, C., & Miller, C. D. (2011). TinkerPlots: Dynamic data exploration (Version 2.2) [Computer software]. Emeryville, CA: Key Curriculum Press.

    Google Scholar 

  • Kuzle, A., & Biehler, R. (2015). Examining mathematics mentor teachers’ practices in professional development courses on teaching data analysis: Implications for mentor teachers’ programs. ZDM Mathematics Education, 47(1), 39–51.

    Article  Google Scholar 

  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Leavy, A. (2006). Using data comparison to support a focus on distribution: Examining preservice teachers’ understandings of distribution when engaged in statistical inquiry. Statistics Education Research Journal, 5(2), 89–114.

    Google Scholar 

  • Leavy, A. (2010). The challenge of preparing preservice teachers to teach informal inferential reasoning1. Statistics Education Research Journal, 9(1), 46–67.

    Google Scholar 

  • Lee, H. S., & Hollebrands, K. F. (2008a). Preparing to teach data analysis and probability with technology. In C. Batanero, G. Burrill, C. Reading, & A. Rossman (Eds.), Joint ICMI/IASE Study: Teaching statistics in school mathematics. Challenges for teaching and teacher education. Proceedings of the ICMI Study 18 and 2008 IASE Round Table Conference (pp. 359–369).

    Google Scholar 

  • Lee, H. S., & Hollebrands, K. F. (2008b). Preparing to teach mathematics with technology: An integrated approach to developing technological pedagogical content knowledge. Contemporary Issues in Technology and Teacher Education, 8(4), 326–341.

    Google Scholar 

  • Lee, H. S., & Hollebrands, K. F. (2011). Characterising and developing teachers’ knowledge for teaching statistics with technology. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education. A joint ICMI/IASE Study (pp. 359–369). Dordrecht, The Netherlands: Springer.

    Chapter  Google Scholar 

  • Lee, H. S., Kersaint, G., Harper, S. R., Driskell, S. O., Jones, D. L., Leatham, K. R., et al. (2014). Teachers’ use of transnumerations in solving statistical tasks with dynamic statistical software. Statistics Education Research Journal, 13(1), 25–52.

    Google Scholar 

  • Lee, H. S., & Nickell, J. (2014). How a curriculum may develop technological statistical knowledge: A case of teachers examining relationships among variables using Fathom. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Madden, S. R. (2011). Statistically, technologically, and contextually provocative tasks: Supporting teachers’ informal inferential reasoning. Mathematical Thinking and Learning, 13(1–2), 109–131.

    Article  Google Scholar 

  • Madden, S. R. (2014). Designing technology-rich learning environments for secondary teachers to explore and prepare to teach statistics. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Makar, K. (2010). Teaching primary teachers to teach statistical inquiry: The uniqueness of initial experiences. In C. Reading (Ed.), Data and context in statistics education: Towards an evidence-based society. Proceedings of the 8th International Conference on Teaching Statistics (ICOTS8, July, 2010, Ljubljana, Slovenia). Voorburg, The Netherlands: International Statistical Institute.

    Google Scholar 

  • Makar, K., & Confrey, J. (2005). “Variation-talk”: Articulating meaning in statistics. Statistics Education Research Journal, 4(1), 27–54.

    Google Scholar 

  • Makar, K., & Fielding-Wells, J. (2011). Teaching teachers to teach statistical investigations. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education (a Joint ICMI/IASE Study) (pp. 347–358). New York, NY: Springer.

    Chapter  Google Scholar 

  • McClain, K. (2008). The evolution of teachers’ understandings of distribution. In C. Batanero, G. Burrill, C. Reading, & A. Rossman (Eds.), Joint ICMI/IASE Study: Teaching statistics in school mathematics: Challenges for teaching and teacher education. Proceedings of the ICMI Study 18 and 2008 IASE Round Table Conference.

    Google Scholar 

  • Meletiou-Mavrotheris, M., & Mavrotheris, E. (2007). Online communities of practice enhancing statistics instruction: The European Project EarlyStatistics. Electronic Journal of e-Learning, 5(2), 113–122.

    Google Scholar 

  • Meletiou-Mavrotheris, M., Mavrotheris, E., & Paparistodemou, E. (2011). Distance learning for teacher professional development in statistics education. Teaching Statistics, 33(1), 2–8.

    Article  Google Scholar 

  • Meletiou-Mavrotheris, M., Paparistodemou, E., & Stylianou, D. (2009). Enhancing statistics instruction in elementary schools: Integrating technology in professional development. The Montana Mathematics Enthusiast, 6(1&2), 57–78.

    Google Scholar 

  • Meletiou-Mavrotheris, M., & Serradó-Bayés, A. (2012). Distance training of mathematics teachers: The EarlyStatistics experience. RUSC - Revista de Universidad y Sociedad del Conocimiento, 9(1), 340–353.

    Article  Google Scholar 

  • Mertler, C. A. (2016). Action research: Improving schools and empowering educators (5th ed.). Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

  • Metz, M. L. (2010). Using GAISE and NCTM standards as frameworks for teaching probability and statistics to prospective elementary and middle school mathematics teachers. Journal of Statistics Education, 18(3).

    Google Scholar 

  • Moore, D. (2005). Preparing graduate students to teach statistics: Introduction. The American Statistician, 59(12), 1–3.

    Article  Google Scholar 

  • Murata, A. (2011). Introduction: Conceptual overview of lesson study. In L. C. Hart, A. Alston, & A. Murata (Eds.), Lesson study research and practice in mathematics education: Learning together (pp. 1–12). New York, NY: Springer.

    Google Scholar 

  • National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.

    Google Scholar 

  • Noll, J. (2011). Graduate teaching assistants’ statistical content knowledge of sampling. Statistics Education Research Journal, 10(2), 48–74.

    Google Scholar 

  • Pfannkuch, M. (2008). Training teachers to develop statistical thinking. In C. Batanero, G. Burrill, C. Reading, & A. Rossman (Eds.), Joint ICMI/IASE Study: Teaching statistics in school mathematics. Challenges for teaching and teacher education. Proceedings of the ICMI Study 18 and 2008 IASE Round Table Conference.

    Google Scholar 

  • Pfannkuch, M., & Ben-Zvi, D. (2011). Developing teachers’ statistical thinking. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education (a Joint ICMI/IASE Study) (pp. 323–333). New York, NY: Springer.

    Chapter  Google Scholar 

  • Podworny, S., & Biehler, R. (2014). A learning trajectory on hypothesis testing with TinkerPlots – Design and exploratory evaluation. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July 2014, Flagstaff, AZ, USA. The Netherlands, International Statistical Institute: Voorburg.

    Google Scholar 

  • Ponte, J. P. (2011). Preparing teachers to meet the challenges of statistics education. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education (A Joint ICMI/IASE Study). New York, NY: Springer.

    Google Scholar 

  • Ponte, J. P. (2012). A practice-oriented professional development programme to support the introduction of a new mathematics curriculum in Portugal. Journal of Mathematics Teacher Education, 15(4), 317–327.

    Article  Google Scholar 

  • Pratt, D., Davies, N., & Connor, D. (2011). The role of technology in teaching and learning statistics. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics: Challenges for teaching and teacher education. A Joint ICMI/IASE Study (pp. 97–107). Dordrecht, The Netherlands: Springer.

    Chapter  Google Scholar 

  • Roback, P., Chance, B., Legler, J., & Moore, T. (2006). Applying Japanese lesson study principles to an upper-level undergraduate statistics course. Journal of Statistics Education, 14(2).

    Google Scholar 

  • Santos, R., & Ponte, J. P. (2014). Learning and teaching statistical investigations: A case study of a prospective teacher. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

  • Serradó-Bayés, A., Meletiou-Mavrotheris, M., & Paparistodemou, E. (2014). EarlyStatistics: A course for developing teachers’ statistics technological and pedagogical content. Statistique et Enseignement, 5(1), 5–29.

    Google Scholar 

  • Souza, L., Lopes, C. E., & Pfannkuch, M. (2015). Collaborative professional development for statistics teaching: A case study of two middle school teachers. Statistics Education Research Journal, 14(1), 112–134.

    Google Scholar 

  • Thompson, H. M., & Johnson, H. L. (2010). How young statistics academics learn to teach statistics. In C. Reading (Ed.), Data and context in statistics education: Towards an evidence-based society. Proceedings of the 8th International Conference on Teaching Statistics (ICOTS8, July, 2010), Ljubljana, Slovenia. Voorburg, The Netherlands: International Statistical Institute.

    Google Scholar 

  • Wassong, T., & Biehler, R. (2014). The use of technology in a mentor teacher course in statistics education. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, ICOTS9, July, 2014, Flagstaff, AZ, USA. International Statistical Institute: Voorburg, The Netherlands.

    Google Scholar 

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Correspondence to João Pedro da Ponte .

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da Ponte, J.P., Noll, J. (2018). Building Capacity in Statistics Teacher Education. In: Ben-Zvi, D., Makar, K., Garfield, J. (eds) International Handbook of Research in Statistics Education. Springer International Handbooks of Education. Springer, Cham. https://doi.org/10.1007/978-3-319-66195-7_14

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