The Data Revolution-Reference-Cited by-同舟云学术

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The Data Revolution

Published:2023-02 Issue:2 Volume:116 Page:78-79
ISSN:0025-5769
Container-title:Mathematics Teacher: Learning and Teaching PK-12
language:
Short-container-title:

Author:

B. Custer David¹,Simic-Muller Ksenija²

Affiliation:

1. Decatur High School, Georgia

2. Pacific Lutheran University, Tacoma, Washington

Abstract

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.

Publisher

National Council of Teachers of Mathematics

Subject

General Medicine

Link

https://pubs.nctm.org/downloadpdf/journals/mtlt/116/2/article-p78.xml

Reference17 articles.

1. Pre-K–12 guidelines for assessment and instruction in statistics education II (GAISE II);Bargagliotti, A.,2020

2. GAISE II: Bringing data into classrooms;Bargagliotti, A.,2021

3. Making sense of a data-filled world;Boaler, J.,2021

4. Mathematics framework,2022

5. Growing trees: Using nonlinear regression trees to model real-world data;Casillas, M.,2022, September 28–October 1

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science;Journal of Statistics and Data Science Education;2024-05-14

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