Building Ramps and Pathways to Data Science in K-12, Minority-Serving Institutions, and Two-Year Colleges

Author:

Saidi Rachel1ORCID,Burn Helen2ORCID,Baumer Ben3ORCID,Black Jason4,Deb Debzani5ORCID,Drozda Zarek6ORCID

Affiliation:

1. Math, Statistics, and Data Science Department, Montgomery College – Rockville Campus, Rockville, MD, USA

2. Mathematics Department, Highline College Des Moines Washington, Des Moines, WA, USA

3. Statistical and Data Sciences Department, Smith College, Northampton, MA, USA

4. School of Business and Interdisciplinary Center for Creativity and Innovation (ICCI), Florida A&M University, Tallahassee, FL, USA

5. Computer Science Department, Center for Applied Data Science (CADS), Winston-Salem State University, Winston-Salem, NC, USA

6. Data Science 4 Everyone (DS4E) Program, University of Chicago, Chicago, IL, USA

Publisher

Informa UK Limited

Reference11 articles.

1. Drozda Z, Johnstone D, Van Horne B. Previewing the national landscape of K-12 data science implementation. Washington (DC): National Academies of Science, Engineering, and Medicine; 2022.

2. Feinstein K. Stanford Harvard revise high school math curriculum recommendations exclude data science. Stanford Daily [Internet] 2023 April 25. Available from: https://stanforddaily.com/2023/04/25/stanford-harvard-revise-high-school-math-curriculum-recommendations-exclude-data-science/

3. Harmon A. In California a math problem: does data science = algebra II? The New York Times [Internet] 2023 July 13. Available from: https://www.nytimes.com/2023/07/13/us/california-math-data-science-algebra.html.

4. Institute of Educational Sciences. Copy paste transpose: math anxiety is more common than you think. Inside Institute of Education Sciences Research. Washington (DC): U.S. Department of Education; 2021.

5. Baumer B Horton N. Data science pathways from associates to bachelors programs. Harvard Data Science Review; 2022. Available from: https://hdsr.mitpress.mit.edu/pub/k4jt0uu0/release/1

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3