Examining How Online Professional Development Impacts Teachers’ Beliefs About Teaching Statistics

Hollylynne S. Lee, Gemma F. Mojica, Jennifer N. Lovett


With online learning becoming a more viable option for teachers to develop their expertise, our report shares one such effort focused on improving the teaching of statistics. We share design principles and learning opportunities in an online course developed specifically to serve as a wide-scale online professional development opportunity for educators, thus deemed as a massive open online course for educators (MOOC-Ed). In this report we focus on a subset of 412 participants who identified themselves as classroom teachers. We use multiple data sources, quantitative and qualitative, to characterize changes in teachers’ beliefs and perspectives about statistics and identify triggers in the course that appear to influence teachers’ sense making about issues related to teaching statistics. Implications about specific course experiences that served as triggers for critical reflection and change are discussed.


MOOCs, teacher professional development, statistics education

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Authors (2017a)

Authors (2017b)

Bonafini, F. C. (2018). Characterizing super-posters in a MOOC for teachers’ professional development. Online Learning, 22(4), 89-108. doi:10.24059/olj.v22i4.1503

Chazan, D. (2018). Considering what we want to represent. In O. Buchbinder & S. Kuntze (Eds.), Mathematics Teachers Engaging with Representations of Practice (pp. 163-167). Springer, Cham.

Clark, D., & Hollingsworth, H. (2002). Elaborating a model of teacher professional growth. Teaching and Teacher Education, 18(8), 947-967.

Conference Board of the Mathematical Sciences (2012). The mathematical education of teachers II. Providence, RI and Washington, DC: American Mathematical Society and Mathematical Association of America.

Eichler, A. (2011). Statistics teachers and classroom practices. In C. Batanero, G. Burrill, & C. Reading (Eds.). Teaching statistics in school mathematics-challenges for teaching and teacher education (pp. 175-186). Springer Netherlands.

Franklin, C., et al. (2007). Guidelines for assessment and instruction in statistics education (GAISE) Report: A Pre-K-12 curriculum framework. Alexandria, VA: American Statistical Association.

Franklin, C., Bargagliotti, A. E., Case, C. A., Kader, G. D., Schaeffer, R. L., & Spangler, D. A. (2015). The statistical education of teachers: American Statistical Association.

Harrell-Williams, L. M., Sorto, M. A., Pierce, R. L., Lesser, L. M., & Murphy, T. J. (2015). Identifying statistical concepts associated with high and low levels of self-efficacy to teach statistics in middle grades. Journal of Statistics Education, 23(1).

Harrell-Williams, L., Lovett, J. N., Lee, H. S., Pierce, R., Sorto, A., & Lesser, L. (2017). Validation of scores from the high school version of the Self-Efficacy to Teach Statistics instrument using preservice mathematics teachers. Journal of Psychoeducational Assessment. Article first published online: October 18, 2017, https://doi.org/10.1177/0734282917735151.

Herbst, P., Chazan, D., Chen, C. L., Chieu, V. M., & Weiss, M. (2011). Using comics-based representations of teaching, and technology, to bring practice to teacher education courses. ZDM, 43(1), 91-103.

Ho, A.D., Reich, J., Nesterko, S., Seaton, D.T., Mullaney, T., Waldo, J., & Chuang, I. (2014). Harvard X and MITx: the first year of open online courses. Harvard X & MITx Working Papers No.1.

Jacobsen, D. Y. (2019). Dropping out or dropping in? A connectivist approach to understanding participants’ strategies in an e-Learning MOOC pilot. Technology, Knowledge and Learning 24(1), 1-21. https://doi-org.prox.lib.ncsu.edu/10.1007/s10758-017-9298-z.

Kleiman, G., Wolf, M.A., & Frye, D. (2015). Educating educators: Designing MOOCs for professional learning. In Kim, P. (Ed.), Massive Open Online Courses: the MOOC Revolution (pp. 117-144). New York: Routledge.

Koller, D., Ng, A., & Chen, Z. (2013). Retention and intention in massive open online courses: In depth. EDUCAUSE Review Online, 48(3), 62–63. Retrieved from https://er.educause.edu/articles/2013/6/retention-and-intention-in-massive-open-online-courses-in-depth

Loizzo, J., Ertmer, P. A., Watson, W. R., & Watson, S. L. (2017). Adults as self-directed and determined to set and achieve personal learning goals in MOOCs: Learners’ perceptions of MOOC motivation, success, and completion. Online Learning, 21, (2) doi: 10.24059/olj.v21i2.889

Luebeck, J., Roscoe, M., Cobbs, G., Diemert, K., & Scott, L. (2017). Re-envisioning professional learning in mathematics: Teachers’ performance, perceptions, and practices in blended professional development. Journal of Technology and Teacher Education, 25(3), 273-299.

Mackey, J., & Evans, T. (2011). Interconnecting networks of practice for professional learning. International Review of Research in Open and Distance Learning, 12(3), 1-18.

Marrongelle, K., Sztajn, P., & Smith, M. (2013). Scaling up professional development in an era of common state standards. Journal of Teacher Education, 64(3), 202-211.

Mezirow, J. (2009). Transformative learning theory. In J. Mezirow & E. W. Taylor (Eds.), Transformative learning in practice: Insights from community, workplace, and higher education (pp. 18-31). San Francisco: Jossey-Bass.

National Governors Association Center for Best Practice & Council of Chief State School Officers. (2010). Common core state standards for mathematics. Washington D.C.: Author.

Perna, L. W., Ruby, A., Boruch, R. F., Wang, N., Scull, J., Seher, A., & Evans, C. (2014). Moving through MOOCs: Understanding the progression of users in massive open online courses. Educational Reviewer, 43(9), 421-432.

Peters, S. A. (2014). Developing understanding of statistical variation: Secondary statistics teachers’ perceptions and recollections of learning factors. Journal of Mathematics Teacher Education, 17(6), 539-582.

Pierce, R., & Chick, H. (2011). Teachers’ beliefs about statistics education. In C. Batanero, G. Burrill, & C. Reading (Eds.). Teaching statistics in school mathematics-Challenges for teaching and teacher education (pp. 151-162). Springer Netherlands.

Renninger, K. A., Cai, M., Lewis, M. C., Adams, M. M., & Ernst, K. L. (2011). Motivation and learning in an online, unmoderated, mathematics workshop for teachers. Educational Technology Research and Development, 59(2), 229-247.

Seaton, D. T., Coleman, C., Daries, J., & Chuang, I. (2015). Enrollment in MITx MOOCs: Are we educating educators? EDUCAUSE Review. Retrieved from: https://er.educause.edu/articles/2015/2/enrollment-in-mitx-moocs-are-we-educating-educators.

Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory. Thousand Oaks, CA: Sage.

Sztajn, P. (2011). Standards for reporting mathematics professional development in research studies. Journal for research in mathematics education, 42(3), 220-236.

Treacy, B., Kleiman, G., & Peterson, K. (2002). Successful online professional development. Leading & Learning with Technology, 30(1), 42–47.

Vrasidas, C., & Zembylas, M. (2004). Online professional development: Lessons from the field. Education Training, 46(6/7), 326-334.

DOI: http://dx.doi.org/10.24059/olj.v24i1.1992

Copyright (c) 2020 Hollylynne S. Lee, Gemma F. Mojica, Jennifer N. Lovett

License URL: https://creativecommons.org/licenses/by/4.0/