In this 2-4 hour mini-unit, students design methods for identifying patterns in data. Using a real-time air quality index, students explore patterns in the air quality of cities across the globe. This lesson in data analysis has students ask questions about factors that impact global temperatures so students can analyze how these factors might impact air quality. Teachers will assess how students use scientific practices related to data analysis through a "Claim-Evidence-Reasoning" activity.
Step 1 - Inquire: Students explore the World's Air Pollution: Real-time Air Quality Index and discuss variables.
Step 2 - Investigate: Students investigate data on air quality variables and analyze data.
Step 3 - Inspire: Students discuss patterns found in data and inspire others to be "Air Aware."
Accompanying Teaching Materials