Apply today for the HHMI BioInteractive Ambassador Academy! The Academy is a multi-year professional development experience designed to support evidence-based teaching practices. We’re looking for educators with diverse backgrounds and teaching contexts who are committed to centering equity in their classrooms.
This activity guides the analysis of a published scientific figure from a study that explored inbreeding depression in a small, isolated population of wolves.
In this inquiry-based activity, students investigate the phenomenon of fur colors in rock pocket mice to connect genotypes to phenotypes and molecular genetics to evolution.
This activity guides the analysis of a published scientific figure from a study that explored the evolutionary origins of parasitic beetles that mimic army ants.
This activity guides the analysis of a published scientific figure from a study that investigated how gene duplication contributed to the evolution of electric fish.
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 asynchronous course is designed to deepen educators' content knowledge in evolution, especially regarding content appropriate for teaching at the high school level.
In this activity, students collect and analyze evidence for each of the major conditions for evolution by natural selection to develop an explanation for how populations change over time.
This hands-on activity allows students to analyze DNA sequences of Ebola viruses. Students use these sequences to track the virus’s spread during the 2013–2016 Ebola outbreak in West Africa.
This activity guides the analysis of a published scientific figure from a study that explored how dinosaurs may have regulated their body temperatures.
This activity explores images of chalk formations and coccolithophores, which serve as phenomena for learning about the interactions between biological and geological processes.