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In this activity, groups of learners work together to create edible models of chemicals involved in autotrophic nutrition.

This is an outdoor activity designed to demonstrate evolution of feeding behavior in flocking, schooling or herding animals that maximizes allocation of food resources and enhances survival.

In this activity, learners conduct a controlled experiment to examine how many Mentos are needed to make the tallest possible soda geyser.

In this activity, learners stain fabrics--on purpose!

In this activity, learners conduct a controlled experiment to examine how temperature will affect the height of a soda geyser.

In this activity, learners conduct a controlled experiment to examine which brand of soda makes the best (highest) soda geyser.

In this math lesson, learners model exponential decay and exponential growth using M&M's, paper folding, and African rhino population data.

In this activity, learners count and measure kidney beans to explore natural selection and variation. Learners measure the length of 50-100 beans.

In this data analysis activity, learners quantify the abundance and distribution of sea scallops in and adjacent to the Mid-Atlantic closed areas.

Can gelatin (like Jell-O ®) change the speed of light?

In this activity, learners explore how product design differences can affect the success of a final product -- in this case a bag for holding candy.

In this activity, learners explore how engineers have met the challenge of keeping foods, liquids, and other items cool.

In this data analysis activity, learners use data collected by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) to study Chilean sea bass populations.

In this activity, learners will investigate the impacts of harmful phytoplankton using NOAA's Coastal Services Center Harmful Algal Bloom Forecasting (HABF) Project data.

In this activity, learners solidify their conceptualization of cells by building a model of a cell in a ziplock bag.

This guided inquiry three-part activity engages learners in thinking about the mechanism of natural selection through data collection and pattern recognition.