The Data Revolution

Author:
David B. Custer Decatur High School, Georgia

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and
Ksenija Simic-Muller Pacific Lutheran University, Tacoma, Washington

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Volume/Issue:
Volume 116: Issue 2
Page(s):
78–79
DOI:
https://doi.org/10.5951/MTLT.2022.0322
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Subjects:
Grade(s) or Audience, All grades PK-12, Math Topic, Probability/Data Analysis and Statistics, Modeling, Interpreting Categorical & Quantitative Data, Other Topic, Communication, Literacy, Curriculum, Research, Linking Research and Practice

We reflect on recent presentations at the NCTM annual conference and articles in MTLT that address statistics, data modeling, and data science. We observe that such presentations and articles are increasingly common, and encourage readers to use them in their teaching and write about their own adventures with data.

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Mathematics Teacher: Learning and Teaching PK-12
Cover Mathematics Teacher: Learning and Teaching PK-12

  • Bargagliotti, A. , Franklin, C. , Arnold, P. , Gould, R. , Johnson, S. , Perez, L. , & Spangler, D. (2020). Pre-K–12 guidelines for assessment and instruction in statistics education II (GAISE II) (2nd ed.). American Statistical Association.

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  • Bargagliotti, A. , Arnold, P. , & Franklin, C. (2021). GAISE II: Bringing data into classrooms. Mathematics Teacher: Learning and Teaching PK–12, 114(6), 424–435. https://doi.org/10.5951/MTLT.2020.0343

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  • Boaler, J. , LaMar, T. , & Williams, C. (2021). Making sense of a data-filled world. Mathematics Teacher: Learning and Teaching PK–12, 114(7), 508–517. https://doi.org/10.5951/MTLT.2021.0026

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  • California Department of Education. (2022). Mathematics framework. California Department of Education. https://www.cde.ca.gov/ci/ma/cf/

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  • Casillas, M. , Machado, S. , Buchanan, M. , & Gould, R. (2022, September 28–October 1). Growing trees: Using nonlinear regression trees to model real-world data [Conference session]. National Council of Teachers of Mathematics Annual Meeting and Exposition, Los Angeles.

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  • Frischemeier, D. (2022). Introducing grade 3 students to digital data exploration. Mathematics Teacher: Learning and Teaching PK–12, 115(6), 413–421. https://doi.org/10.5951/MTLT.2021.0264

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  • Huinker, D. , Bush, S. B. , & Graham, K. J. (2020). Catalyzing change in school mathematics: Creating the opportunities our students deserve. Mathematics Teacher: Learning and Teaching PK–12, 113(10), 780–790. https://doi.org/10.5951/MTLT.2020.0053

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  • Jones, J. (2021a). Integrating machine learning in secondary geometry. Mathematics Teacher: Learning and Teaching PK–12, 114(4), 325–329. https://doi.org/10.5951/MTLT.2020.0187

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  • Jones, J. (2021b). Integrating machine learning in mathematics classrooms. Mathematics Teacher: Learning and Teaching PK–12, 114(8), 624–628. https://doi.org/10.5951/MTLT.2021.0001

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  • Jones, J. (2022). Using school mathematics to develop students’ data literacy skills. Mathematics Teacher: Learning and Teaching PK–12, 115(8), 576–581. https://doi.org/10.5951/MTLT.2021.0239

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  • Jung, H. , Son, J. , & I , Y. (2022). Exploring data from lived experiences: A pandemic case. Mathematics Teacher: Learning and Teaching PK–12, 115(2), 122–129. https://doi.org/10.5951/MTLT.2021.0106

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  • Lee, H. S. , Franklin, C. , Bargagliotti, A. E. , Peters, S. , Harding, M. , & Buchanan, M. (2022, September 28–October 1). Data science in middle and high schools: A real modern approach [Conference session]. National Council of Teachers of Mathematics Annual Meeting and Exposition, Los Angeles.

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  • Madden, S. (2021). Reasoning with uncertainty. Mathematics Teacher: Learning and Teaching PK–12, 114(3), 170–171. https://doi.org/10.5951/MTLT.2020.0371

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  • Milou, E. (2020). The status quo is unacceptable. Mathematics Teacher: Learning and Teaching PK–12, 113(10), e51–e57. https://doi.org/10.5951/MTLT.2019.0059

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  • National Council of Teachers of Mathematics . (2018). Catalyzing change in high school mathematics: Initiating critical conversations.

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  • Sourwine, J. (2022). Five reasons to include statistics in algebra. Mathematics Teacher: Learning and Teaching PK–12, 115(9), 659–662. https://doi.org/10.5951/MTLT.2021.0288

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  • Williams, J. (2022, September 28–October 1). Breaking bias in data and modeling [Conference session]. National Council of Teachers of Mathematics Annual Meeting and Exposition, Los Angeles.

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Copyright:
© 2023 by National Council of Teachers of Mathematics, Inc.
Page Count:
2
Article Category:
Research Article
Print Publication Date:
01 Feb 2023
Online Publication Date:
Feb 2023
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