Here you will find resources for anyone interested in data science education, such as best practices tip sheets, case studies on school or district roll-outs, policy research, white papers and more.
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A New Calculus for College Admissions: How Policy, Practice, and Perceptions of High School Math Education Limit Equitable Access to College
In the report, coalition members Veronica Anderson and Pamela Burdman, in partnership with National Association for College Admission Counseling (NACAC), explore the evolving views of the role that math plays in college admissions.
Bring Data Skills to Your Workforce
This guide provides an easy
to use curriculum for those tasked with deploying fundamental data literacy
training in their organization. This guide
includes a foundational data literacy learning path, recommendations for
solutions to common challenges, and tips on how to establish an education
program at an organization.
Catalyzing Data Science Education in K-12: Recommendations from a Panel of Experts
To develop a better understanding of the state of data science education research, the NCER convened a Technical Working Group to provide recommendations to NCER on: 1) the goals for K-12 data science education research, 2) how to improve K-12 data science education practice, 3) how to ensure access to and equity in data science education, and 4) what is needed to build an evidence base and research capacity for the new field.
Charting a New Course:
Investigating Barriers on the Calculus Pathway to STEM
The California Education Learning Lab partnered with Just Equations to synthesize existing research and knowledge from California and beyond in an effort to explore the reasons students leave Calculus sequences and STEM majors, and shed light on strategies for addressing those barriers.
Data Science Is Vital to Student Success. So Why Are Outcomes Going Down?
The 2022 NAEP results indicate that student achievement in data skills have declined significantly compared to other content areas. DS4E Director, Zarek Drozda, has examined the results and proposed solutions to the data skills gap in a new report. Drozda highlights how data skills are a must to prepare students for personal and professional success in the data age.
American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education K-12
This document provides guidelines for pre-K through 12 statistics and data science education, including the necessity of data science education, frameworks, and example activities.
Building and Using Evidence in Data Science Education
Intended for PK–12 leaders and educators, this guide provides a checklist for designing, implementing, and gathering evidence for new data science education programs.
Catalyzing a New Field: Data Science Education in K–12
The Institute of Education Sciences (IES) convened a technical working group (TWG) panel of experts representing practitioners in data science education and related fields, educators from K–12 and higher education, state and local education agencies, industry, and education research to provide recommendations on the steps IES can take to improve the state of data science education research.
Data Science Course Framework
This framework provides design principles and student learning outcomes, including outcomes related to social, emotional, and academic development, to guide developers in creating a data science course for high school students.