Using transformative technology to teach central tendency and promote equity

Authors

  • S. Asli Özgün-Koca Wayne State University
  • Jennifer M. Lewis Wayne State University
  • Christopher Nazelli Wayne State University
  • Lenuel Hernandez Wayne State University

DOI:

https://doi.org/10.52041/iase24.101

Abstract

This paper documents the design and enactment of a lesson using technology to advance ambitious and equitable statistics learning in a high school mathematics class for students of color living in poverty. The lesson was appraised using Equity-centered Transformative Technology (EQTTech) Lesson Analysis Tool, with special emphasis on the development of authority, identity, and agency. Our analysis shows how technology can support the development of positive mathematical identity, a sense of authority, and the growth of student agency in statistics instruction.

References

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). Kluwer Academic Publishers. https://doi.org/10.1007/1-4020- 2278-6_1

Berry, R. Q. (2019, May). Examining Equitable Teaching Using the Mathematics Teaching Framework. President’s Messages, National Council of Teachers of Mathematics. https://www.nctm.org/News- and-Calendar/Messages-from-the-President/Archive/Robert-Q_-Berry-III/Examining-Equitable- Teaching-Using-the-Mathematics-Teaching-Framework/

Billings, G. L. (1997). It doesn't add up: African American students' mathematics achievement. Journal for Research in Mathematics Education, 28(6), 697-708. https://doi.org/10.5951/jresematheduc.28.6.0697

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), 1-26. https://doi.org/10.5070/t511000026

Daiga, M., & Driskell, S. (2021). Visualizing the arithmetic mean. Mathematics Teacher: Learning and Teaching PK-12, 114(8), 607-615. https://doi.org/10.5951/mtlt.2020.0192

Dick, T. P., & Hollebrands, K. F. (2011). Focus in high school mathematics: Technology to support reasoning and sense making. National Council of Teachers of Mathematics.

Dykema, K. (2024). The importance of data science. National Council of Teachers of Mathematics. https://www.nctm.org/News-and-Calendar/Messages-from-the-President/Archive/Kevin- Dykema/The-Importance-of-Data-Science/

Edwards, M. T. (2001). The electronic “other”: A study of calculator-based symbolic manipulation utilities with secondary school mathematics students. (Publication No. 3011050) [Doctoral dissertation, The Ohio State University]. ProQuest Dissertations Publishing.

Konold, C., & Higgins, T. L. (2003). Reasoning about data. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 193-215). National Council of Teachers of Mathematics.

Lane-Getaz, S. J. (2006). What is statistical thinking, and how is it developed? In C. Franklin, J. B. Garfield, & G. F. Burrill (Eds.), Thinking and reasoning about data and chance: Sixty-eighth NCTM Yearbook (pp. 273-289). National Council of Teachers of Mathematics.

Mokros, J., & Russell, S. J. (1995). Children's concepts of average and representativeness. Journal for Research in Mathematics Education, 26(1), 20-39. https://doi.org/10.5951/jresematheduc.26.1.0020

National Council of Teachers of Mathematics (NCTM) and American Statistical Association (ASA). 2020. Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II: A Framework for Statistics and Data Science Education (GAISE II). NCTM; ASA.

Peters, S. A., Bennett, V. M., Young, M., & Watkins, J. D. (2016). A fair and balanced approach to the mean. Mathematics Teaching in the Middle School, 21(6), 364-375. https://doi.org/10.5951/mathteacmiddscho.21.6.0364

Sedlmeier, P. (2014). Technology for developing statistical thinking: A psychological perspective. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9). International Statistical Institute. https://icots.info/icots/9/proceedings/pdfs/ICOTS9_9F2_SEDLMEIER.pdf

Shaughnessy, M. (2007). Research on statistics learning and reasoning. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 957–1010). Information Age Publishing.

Shaughnessy, M. R., Chance, B. L., & Kranendonk, H.A. (2009). Focus in high school mathematics: Reasoning and sense making in statistics and probability. National Council of Teachers of Mathematics.

Suh, J. (2016). Math tech-knowledgy for equity: Equity-centered Transformative Technology (EQTTech). Onmason. http://mathtechknowledgy.onmason.com/intro/

Suh, J., Roscioli, K., Leong, K. & Tate, H. (2022). Transformative technology for equity-centered instruction. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education international conference (pp. 1559-1567). Association for the Advancement of Computing in Education. https://www.learntechlib.org/primary/p/220920/

Downloads

Published

2025-02-06

Conference Proceedings Volume

Section

Topic 1: Supporting learners with diverse needs and abilities