Planning for Developing Students’ Statistical Literacy: A Research-Informed Framework Development

Authors

  • Dung Tran Macquarie University, Australia
  • An Tan Thi Nguyen Hue University of Education, Vietnam
  • Duyen Thi Nguyen Hue University of Education, Vietnam
  • Phuong Minh Thi Ta Hue University of Education, Vietnam
  • Binh Tri Huynh Quy Nhon University, Vietnam
  • Phuoc Thanh Phan Hue, Vietnam
  • Nga Thi Pham Chau Thanh High School, Vietnam
  • Nga Hong Thi Nguyen Hue University of Medicine and Pharmacy, Vietnam

DOI:

https://doi.org/10.52296/vje.2023.227

How to Cite

Tran, D., Nguyen, A. T. T., Nguyen, D. T., Ta, P. M. T., Huynh, B. T., Phan, P. T., Pham, N. T., & Nguyen, N. H. T. (2023). Planning for Developing Students’ Statistical Literacy: A Research-Informed Framework Development. Vietnam Journal of Education, 7(2), 74–81. https://doi.org/10.52296/vje.2023.227

Abstract

Teachers’ planning as a research area still receives little attention. This study focuses on developing a research-informed framework to assess teachers’ statistics lesson plans. Using a design-based research approach, we developed a framework that includes (a) two criteria related to learning intentions (clear and comprehensive), (b) four criteria related to task features (statistical literacy, statistical investigation, real data, multiple representations), and (c) one related to constructivist lessons. Then, the team provided professional development on statistical literacy and ways to elicit and develop it in the classroom. After that, the teachers discussed the framework and used it to revise their lesson plans. Also, teachers provided feedback to revise the framework. We discuss how the framework can offer a tool for researchers to examine teacher planning competence and teachers to reflect on their practice.

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References

Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, November/December(59), 389-407. https://doi.org/10.1177/0022487108324554

Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., Klusmann, U., Krauss, S., Neubrand, M., & Tsai, Y. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133-180. https://doi.org/10.3102/0002831209345157

Ben-Zvi, D., & Garfield, J. (2004). Statistical literacy, reasoning, and thinking: Goals, definitions, and challenges. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning and thinking (pp. 3-15). Springer.

Borko, H., & Livingston, C. (1989). Cognition and improvisation: Differences in mathematics instruction by expert and novice teachers. American Educational Research Journal, 26(4), 473-498. https://doi.org/10.3102/00028312026004473

Cobb, P., Confrey, J., diSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9-13. https://doi.org/10.3102/0013189X032001009

Darling-Hammond, L., Newton, S. P., & Wei, R. C. (2013). Developing and assessing beginning teacher effectiveness: The potential of performance assessments. Educational Assessment, Evaluation and Accountability, 25(3), 179-204. https://doi.org/10.1007/s11092-013-9163-0

delMas, R. (2003). A comparison of mathematical and statistical reasoning. In Ben-Zvi, D., & Garfield, J. (Eds.), The challenge of developing statistical reasoning, literacy, and thinking. Kluwer.

Duval, R. (2006). A cognitive analysis of problems of comprehension in a learning of mathematics. Educational Studies in Mathematics, 61, 103-131. https://doi.org/10.1007/s10649-006-0400-z

Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines and assessment for instruction in statistics education (GAISE) Report: A Pre-K-12 curriculum framework. American Statistical Association.

Gal, I. (2002). Adults’ statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70(1), 1-25. https://doi.org/10.1111/j.1751-5823.2002.tb00336.x

Hiebert, J. (1986). Conceptual and procedural knowledge: The case of mathematics. Routledge.

Hill, J., Yinger, R., & Robins, D. (1983). Instructional planning in a laboratory preschool. The Elementary School Journal, 83 (3), 182-193. https://doi.org/10.1086/461308

John, P. D. (2006). Lesson planning and the student teacher: Re-thinking the dominant model. Journal of Curriculum Studies, 38(4), 483-498. https://doi.org/10.1080/00220270500363620

Kilpatrick, J., Swafford, J., & Findell, B. (Eds.). (2001). Adding It Up: Helping children learn mathematics. The National Academies Press.

König, J., Bremerich-Vos, A., Buchholtz, C., & Glutsch, N. (2020). General pedagogical knowledge, pedagogical adaptivity in written lesson plans, and instructional practice among preservice teachers. Journal of Curriculum Studies, 52(6), 800-822. https://doi.org/10.1080/00220272.2020.1752804

Lien, L. T. B., Phuong, N. T. H., & Minh, T. K. (2018). A cognitive approach to the evaluation of prospective mathematics teachers’ professional competencies. Proceedings of the 5th International Conference on Language, Society and Culture in Asia Contexts (pp. 926-937), Hue, Vietnam.

Panadero, E., & Jonsson, A. (2013) The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129-144. https://doi.org/10.1016/j.edurev.2013.01.002

Pecheone, R. L., & Chung, R. R. (2006). Evidence in teacher education: the performance assessment for California teachers (PACT). Journal of Teacher Education, 57(1), 22-36. https://doi.org/10.1177/0022487105284045

Peterson, P. L., Marx, R. W., & Clark, C. M. (1978). Teacher planning, teacher behavior, and student achievement. American Educational Research Journal, 15(3), 417-432. https://doi.org/10.3102/00028312015003417

Sabbag, A. G. (2016). Examining the relationship between statistical literacy and statistical reasoning. Unpublished doctoral dissertation. University of Minnesota.

Schmidt, W. H., Cogan, L., & Houang, R. (2011). The role of opportunity to learn in teacher preparation: An international context. Journal of Teacher Education, 62(2), 138-153. https://doi.org/10.1177/0022487110391987

Schon, D. A. (1983). The reflective practitioner - How professionals think in action. Basic Books.

Tran D., & Tarr, E. J. (2018). Examination of bivariate data tasks in US high school textbooks through the statistical investigation and cognitive demands frameworks. International Journal of Science and Mathematics Education, 16, 1581-1603. https://doi.org/10.1007/s10763-017-9851-1

Tukey, J. W. (1977). Exploratory data analysis (Vol. 2). Reading.

Vietnam Ministry of Education and Training (2018). School Mathematics Curriculum. Hanoi, Vietnam.

Watson, J., & Callingham, R. (2003). Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2(2), 3-46. https://doi.org/10.52041/serj.v2i2.553

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Published

2023-06-25

How to Cite

Tran, D., Nguyen, A. T. T., Nguyen, D. T., Ta, P. M. T., Huynh, B. T., Phan, P. T., Pham, N. T., & Nguyen, N. H. T. (2023). Planning for Developing Students’ Statistical Literacy: A Research-Informed Framework Development. Vietnam Journal of Education, 7(2), 74–81. https://doi.org/10.52296/vje.2023.227

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Original Articles