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Data Science and AI Academy

Data Stories in the Classroom: Resources for Teaching and Learning

We spotlight and support NC teachers enriching their content and their students’ education with data and AI.

We shine a light on NC educators.

The Data Science and AI Academy would like to highlight and support teachers across North Carolina bringing data, data science, and AI skills to their classrooms. Are you, or someone you know, working to build early foundational data skills among your students by using data to enrich student learning? Tell us your story and help us share your resources with other educators.  

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Whether you are helping young learners recognize patterns and trends in the weather or temperature, collecting and analyzing data in your science class, or exploring different and interesting ways to visualize data in art, we would love to spotlight you and your data science and AI education materials on this page and in our quarterly newsletter!

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Students work, study and use the Talley Student Union. Photo by Marc Hall

Teaching and Learning Resources

From lesson plans and sample data sets to professional development and data science and AI curriculum guidance, browse our ever-growing collection of educator and student resources.

Lesson Plans Submitted by NC Educators

Learning with Data – PFAS Water Contamination

Grade(s): 8th – 12th
Subject(s): Science, Social Studies, Math

This lesson is designed to walk students through the data-wrangling process. Students learn how to clean up raw datasets to get them ready for analysis. It is designed as a case study approach to encourage students to decide how they may want to analyze the data. The case study focuses on PFAS levels at various water collection sites along the Cape Fear River. It is a simple dataset with only 3 variables and introduces students to the CODAP platform for low-entry analysis. The Teacher Guide offers suggestions for group activities and ideas about their possible datasets that students can use to look for correlations and to build a data story.

How did it go?:
This lesson was presented to 8th grade – high school science teachers during a professional development workshop. The teachers appreciated the community-based relevance of the data and the ease of use of the CODAP platform. They found the data cleaning process easy to follow but did struggle during some parts of the analysis, particularly with making decisions about how to analyze the data.

Full Lesson

Student Guide

Learning with Data – NC Survey on Human Health and the Environment

Grade(s): 8th – 12th
Subject(s): Science, Social Studies, Math

This lesson is designed to walk students through the data-wrangling process. Students learn how to clean up raw datasets to get them ready for analysis. It is designed as a case study approach to encourage students to decide how they may want to analyze the data. The case study focuses on the results from the 2021 and 2022 NC Surveys on Human Health and the Environment. These datasets are more complex using Likert Scale data and a large number of variables (100+). The lesson introduces students to the CODAP platform for low-entry analysis. The Teacher Guide offers suggestions for group activities and ideas about other possible datasets that students can use to look for correlations and to build a data story.

How did it go?:
This lesson was presented to 8th grade – high school science teachers during a professional development workshop. The teachers appreciated the community-based relevance of the data and the ease of use of the CODAP platform. They found the data cleaning process easy to follow but did struggle during some parts of the analysis, particularly with making decisions about how to analyze the data.

Full Lesson

Student Guide

Example Lesson Plans

K-12 Data Analysis & Visualization Tools

Modeling With Data

Professional Development

Datasets

Repositories of Datasets:

Census Data

Science Data

North Carolina Data

Data Science Curriculum Resources