{"id":1029,"date":"2025-12-13T20:39:11","date_gmt":"2025-12-13T20:39:11","guid":{"rendered":"https:\/\/research.ced.ncsu.edu\/esteemhub\/?page_id=1029"},"modified":"2026-04-06T17:20:25","modified_gmt":"2026-04-06T17:20:25","slug":"k-12-resources","status":"publish","type":"page","link":"https:\/\/research.ced.ncsu.edu\/esteemhub\/resources\/k-12-resources\/","title":{"rendered":"K-12 Resources"},"content":{"rendered":"\n\n\n\n
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\n \"IDS\n <\/div>\n <\/div>\n \n
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Introduction to Data Science<\/strong><\/h3>\n \n\n \t \t

The IDS Curriculum teaches students to reason with, and think critically about, data in all forms. The Common Core State Standards (CCSS) for High School Statistics and Probability relevant to data science are taught along with the data demands of good citizenship in the 21st century. Additionally, IDS provides access to rigorous learning that fuses mathematics with computer science through the use of R\/RStudio.<\/p>\n\t \t \n

Visit the website \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"\"\n <\/div>\n <\/div>\n \n
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Enhancing Statistical Thinking And Reasoning in Schools (ESTARS)<\/strong><\/h3>\n \n\n \t \t

ESTARS developed modules that integrate the statistical investigation process, data visualization, and simulation into high school statistics.<\/p>\n\t \t \n

Read more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Covers\n <\/div>\n <\/div>\n \n
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Fourth-Year Math Course Frameworks<\/strong><\/h3>\n \n\n \t \t

Explore new fourth-year math course frameworks, designed by the Charles A. Dana Center, to equip students with essential skills in Data Science, Statistics, and Quantitative Reasoning. These frameworks prioritize real-world applications and critical thinking for our data-driven world, preparing students for both higher education and the workforce. Whether you’re an educator or policymaker, our resources offer the tools and insights needed to create a lasting impact.<\/p>\n\t \t \n

View the frameworks \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"NCTM\n <\/div>\n <\/div>\n \n
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Illuminations Project<\/h3>\n \n\n \t \t

An NCTM\u00a0 collection of vetted activities incorporating data into earlier grades with accompanying technology tools. Can search on statistics\/data.<\/p>\n\t \t \n

Visit these activities \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"USS\n <\/div>\n <\/div>\n \n
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Investigating US Society with Data<\/strong><\/h3>\n \n\n \t \t

Two curriculum modules are designed to promote high school students\u2019 statistical thinking and data literacy skills through investigations of social and economic conditions in the U.S. To conduct these investigations, students analyze large-scale U.S. population data using CODAP. Students learn and apply fundamental data practices as they examine questions of relevance and social importance to themselves, their families, and their communities.<\/p>\n\t \t \n

Read more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Bootstrap\n <\/div>\n <\/div>\n \n
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Bootstrap<\/h3>\n \n\n \t \t

Bootstrap\u2019s focus is on\u00a0integration<\/em>\u00a0of free, evidence-based computing and data science with core subjects like math, with materials designed for maximum flexibility. These materials cover data visualization collection, and analysis, summary statistics (center, spread, etc.) modeling with linear and nonlinear functions, ethics, social impacts and more.<\/p>\n\t \t \n

Visit their website \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Data\n <\/div>\n <\/div>\n \n
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Data Science Project-Based Learning<\/h3>\n \n\n \t \t

This resource contains three lesson sequences addressing the high school Data Science Standards of Learning through project-based learning: Data Science Unplugged, Data Science with CODAP, and Data Science with Python. Teachers can select a sequence of lessons using their preferred tool, or mix and match lessons from the three sequences to meet their goals and their students’ needs.<\/p>\n\t \t \n

Learn more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"API\n <\/div>\n <\/div>\n \n
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API CAN CODE CURRICULUM<\/h3>\n \n\n \t \t

The API Can Code project explores ways to introduce learners to foundational ideas about computer science by having them explore the data that shapes their lives. In particular, the learning experiences will center on application programming interfaces (APIs) for popular platforms and services, allowing students to better understand the digital worlds surrounding them.<\/p>\n\t \t \n

Access the curriculum \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"youcubed\n <\/div>\n <\/div>\n \n
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Youcubed Introduction to Data Science Course<\/h3>\n \n\n \t \t

This course introduces students to data science through free tools such as Google Sheets, Python and Data Commons. Students will learn to be data explorers in project-based units, through which they will develop their understanding of data analysis, sampling, correlation\/causation, bias and uncertainty, probability, modeling with data, making and evaluating data-based arguments, the power of data in society, and more! The curriculum is adaptable so that teachers can bring in datasets or use what is provided to find datasets most relevant to their students.<\/p>\n\t \t \n

Explore the course \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Weather\n <\/div>\n <\/div>\n \n
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WeatherX<\/h3>\n \n\n \t \t

WeatherX promotes interest and skills in scientific data practices among middle school students in rural areas. Students use large-scale NOAA data\u00a0 within the tool CODAP to investigate typical and extreme weather in their rural communities.<\/p>\n\t \t \n

Visit their website \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Data\n <\/div>\n <\/div>\n \n
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Data Biographies<\/h3>\n \n\n \t \t

Data Biographies introduce educators to curated datasets for middle and high school classrooms. Data Biographies are not lesson plans, but rather launchpads designed to support the integration of complex data into the classroom. Each Data Biography includes background information specifically designed to help educators explore the data and determine potential uses in various classroom contexts.<\/p>\n\t \t \n

Read more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Data\n <\/div>\n <\/div>\n \n
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Data Science for High School:<\/strong>
An Innovation Pathway for Data Careers<\/strong><\/h3>\n \n\n \t \t

This site shares curricula and resources for providing students with critical 21st century data skills. The collection of course materials enable high schools to form the core of a pathway linking to post secondary data science pathways. Resources for Course integration include:
\u2022 Civics + Data
\u2022 Math + Data
\u2022 Visualization + Data
\u2022 Python + Data<\/p>\n\t \t \n

Read more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Data\n <\/div>\n <\/div>\n \n
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Data Education in Schools<\/h3>\n \n\n \t \t

Data Education in Schools is a UK and Scottish Government-funded project to teach data literacy and data citizenship skills to learners aged 3-18 years old in the Edinburgh and surrounding area. Their website includes many resources for teaching data literacy and data science in K-12 classrooms, including lesson plans and teacher resources.<\/p>\n\t \t \n

Read more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"EngageCSEdu\n <\/div>\n <\/div>\n \n
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Public Data in the Public Interest: A Spreadsheet-Based Project for High School Computing<\/strong><\/strong><\/h3>\n \n\n \t \t

Data for Healthy Communities (DHC) is a 15-hour high school curriculum that uses spreadsheets and public data to provide an accessible introduction to data science in the broader context of decision making for complex problems. Students work with real-world government data and learn how to use data as evidence to support an argument for investment in their local communities.<\/p>\n\t \t \n

Learn more \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"IDEEM\n <\/div>\n <\/div>\n \n
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Infusing Data Science Education into Elementary Mathematics<\/strong><\/h3>\n \n\n \t \t

This website provides activities and a template for a 4-day workshop for in-service teachers on infusing data science concepts into elementary mathematics. It makes use of the data life cycle framework to guide teachers through explorations and opportunities to adapt\/create activities for their studnents. Two Goals for Project IDEEM:
To strengthen content knowledge of data science concepts for TK-5 elementary teachers.
To gain experience infusing data science activities into existing TK-5 elementary mathematics curricula.<\/p>\n\t \t \n

Visit the website \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"Cybersecurity\n <\/div>\n <\/div>\n \n
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How to get started: Cybersecurity for K-12<\/strong><\/h3>\n \n\n \t \t

This guide provides information and resources aimed at educating K-12 students about cybersecurity. Whether you\u2019re a teacher looking to introduce cybersecurity in your classroom or a student curious about hacking for good, this guide will help you get started.<\/p>\n\t \t \n

View the guide \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"CourseKata\n <\/div>\n <\/div>\n \n
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CourseKata for High School<\/h3>\n \n\n \t \t

CourseKata for High School Statistics and Data Science provides interactive, online textbooks that emphasize modeling, real-world applications, and computational thinking. Designed for different course levels, they introduce students to statistics and coding with R in an accessible way that supports broad engagement and future learning.<\/p>\n\t \t \n

Explore the textbooks \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n\n

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\n \"A\n <\/div>\n <\/div>\n \n
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Curricula At-A-Glance<\/strong><\/h3>\n \n\n \t \t

This Curricula At-A-Glance chart compares the characteristics and content of the Bootstrap, CourseKata, IDS, and youcubed curricula to help teachers choose the data science curriculum that best fits them and their students. Because there is no one \u201cbest\u201d curriculum, this resource is designed to support informed, context-specific decision-making.<\/p>\n\t \t \n

Explore the chart \n \n \n <\/svg><\/span><\/span><\/p>\n <\/div>\n\n <\/a>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":72,"featured_media":0,"parent":59,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{}","ncst_content_audit_freq":"","ncst_content_audit_date":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1029","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/pages\/1029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/comments?post=1029"}],"version-history":[{"count":6,"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/pages\/1029\/revisions"}],"predecessor-version":[{"id":1375,"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/pages\/1029\/revisions\/1375"}],"up":[{"embeddable":true,"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/pages\/59"}],"wp:attachment":[{"href":"https:\/\/research.ced.ncsu.edu\/esteemhub\/wp-json\/wp\/v2\/media?parent=1029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}