08. Empowering Environmental Education Through a Data Visualization Tool

Environmental health disparities in urban areas like Chicago present both a challenge and an opportunity for science education. In response, a growing effort has emerged to engage K–12 teachers and undergraduate students in hands-on environmental monitoring and data-driven learning. This project aims to build capacity for teaching air quality science in classrooms using low-cost mobile sensors such as AirBeam3, which measure fine particulate matter (PM2.5) in real time.

Students and teachers have used AirBeam3 sensors to study the relationships between air quality and public health by collecting and analyzing PM2.5 in their own communities. To support the interpretation of sensor data, often outputted in complex CSV formats, we developed an interactive data visualization dashboard that translates raw data into accessible, engaging visuals suitable for middle, high school, and undergraduate learners. This tool enhances both environmental science and data literacy education by making abstract concepts locally relevant and actionable. Interactive design was informed by feedback from educators, undergraduates, community members, and environmental professionals. The result is a replicable model for using local data to drive inquiry, critical thinking, and civic engagement in the classroom.

Environmental Justice

Data Visualization

Air Quality Monitoring 

Beginner

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Women in Statistics and Data Science 2025