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In this activity, students use an interactive tool to simulate how scientists collected and used sample data to estimate elephant population sizes.

This highly customizable activity guides students through organizing and documenting spreadsheet data during a class investigation.

In this activity, students engage in key science practices that scientists used to figure out ecosystem dynamics in the Serengeti.

This web tool provides a quick and easy way of visualizing and analyzing data without advanced technological requirements.

In this activity, students work with authentic research data to explore the impact of poaching on African elephants.

In this activity, students learn about the factors that regulate the population sizes of wildebeest and buffalo in Serengeti National Park.

In this activity, students explore using CRISPR-Cas9 to knock out butterfly genes in order to determine their function.

In this activity, students analyze aspects of a scientific paper that investigates genes involved in the colors and patterns of butterfly wings.

This data-driven activity accompanies the video Selection for Tuskless Elephants. It engages students in analyzing data to make evidence-based claims about the occurrence of tusklessness in elephant populations.

This interactive module allows students to collect and analyze data from a virtual river to construct biomass and energy pyramids.

This activity guides the analysis of a published scientific figure from a study that investigated demographic patterns in Ebola outbreaks from the Democratic Republic of the Congo.

This activity supports using the citizen science platform WildCam Gorongosa in the classroom. It engages students in calculating species richness, evenness, and the Shannon diversity index for various habitat types using data from trail cameras in Gorongosa National Park.