About Data Adventures
A middle school curriculum that helps students develop data literacy through making, game play, storytelling, and creative problem-solving.
Rather than treating data as a collection of formulas or isolated math skills, Data Adventures helps students see data as a tool for understanding themselves, their communities, and the world around them. Students learn that data can take many forms, including numbers, words, images, sounds, and observations, and that meaningful questions, context, and human decisions shape how data is collected, analyzed, and used.
Data Habits of Mind
Throughout the curriculum, students practice four core habits that help them become thoughtful, creative, and responsible users of data.
Curiosity
Asking questions and noticing patterns.
Communication
Explaining findings and reasoning with evidence.
Perseverance
Sticking with problems and revising ideas.
Understanding Context
Considering where data comes from and what it means.
How it's structured
The curriculum is made up of three Data Adventures. Each one lasts about a week and is organized into four to five lessons. Every lesson follows a consistent rhythm of a warm-up, a data connection, a hands-on activity, and a reflection.
Avatar Maker
Turn your name and interests into data.
Festival Maker
Use data to design a music festival.
Game Maker
Build and balance games using data.
Across the adventures, students analyze both categorical and numerical data; create and interpret visualizations such as bar charts, dot plots, histograms, heat maps, and box-and-whisker plots; and use measures such as mean, median, mode, and range to describe patterns and distributions. Data Adventures intentionally integrates mathematics, science, engineering, English language arts, art, and social-emotional learning. Students use data to make decisions, design solutions, communicate findings, and create meaningful projects that combine quantitative evidence with creativity and storytelling.
What students can do by the end
Generate and analyze data, and represent it with appropriate visualizations.
Describe patterns and variability in a dataset.
Make evidence-based decisions.
Reflect on how data connects to identity, emotion, community, ethics, and STEM.
The ultimate goal is for students to see themselves as capable data thinkers who can use data to ask questions, solve problems, communicate ideas, and make positive contributions to their communities.
Get involved
If you're a teacher interested in piloting Data Adventures, or a partner interested in the research, we'd love to hear from you.