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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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15 resources found

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.

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Research

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.

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Guide

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.

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Research

Data Literacy Advocacy Pack

The Center for RISC has developed a list of resources & steps to take for individuals interested in expanding access to data science education.

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Guide

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.

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Guide

NetApp Data Explorers: Preparing Youth for a Data-filled Future

TERC, Concord Consortium and NetApp share insights and discoveries from their collaboration around the NetApp's Data Explorers Program. Read this report on how to teach data science starting at a young age and learn about the potential of out-of-school data education experiences.

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Report

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.

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Guide

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.

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Report

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.

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Report

Data Science Advocacy Deck

Data is everywhere. Understand how data plays a role in our daily lives, and why it is important for it to be added to K-12 curriculum during this presentation offered by the Center for RISC.

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Presentation

Datasets for K-12 Data Science

Coalition members Emmanuel Schnazer (Bootstrap World) and Dan Schneider (Code.org) have collaborated with DS4E staff to develop an in depth specification guide that offers a pathway for individuals to find, clean, document, and upload datasets that can be used in K-12 data science tools. DS4E will support implementation of this work through creating a centralized and open hub of datasets with these guidelines.

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Guide

Statistics Education Research Journal Special Issue: Research on Data Science Education

The Research on Data Science issue contains multiple articles centered on implementing data science education. Some of these topics include data science projects in school, teaching and learning data-driven machine learning, integrating humanities and data science, and many more.

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Research