Use a model to explore leaf photosynthesis and the macroscopic outcome of the photosynthetic reaction.

Stebbins is a game about evolution. Students collect data as predators eating colored circles on a colored background, being careful to avoid the poisonous ones. Data analysis reveals how the population changes color over time, and can...

Modeling traffic data is important for urban planning, creating transportation systems, and even predicting how much foot traffic a retail store can expect in a given day. This genre of dynamic data science activities could be classified...

In this dynamic data science activity, students use data to build binary trees for decision-making and prediction. Prediction trees are the first steps towards linear regression, which plays an important role in machine learning for...

Working with large datasets that support exploration of patterns is an essential first step in becoming fluent with data. In this dynamic data science activity, students can access part of the U.S. Census Bureau's American Community...

Students act as astronomers, studying stars in a patch of sky in our own galaxy. Using simulated data from spectroscopy and other real-world instrumentation, students learn to determine star positions, radial velocity, proper motion, and...

This activity places the control of the environment under the student's control. A field starts off with a uniform light level, and thus capable of growing plants with medium-sized leaves. Students can alter the environment by growing a...

Access and explore large datasets from the National Health and Nutrition Examination Survey (NHANES, 2003). Working with large datasets that emphasize exploration, finding patterns, and modeling is an essential first step in becoming...