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 explores an image of tattoo ink particles inside cells, which serves as a phenomenon for learning about the structure and color of human skin.
Explore the microscopic world in this Educator Voices article from Pennsylvania educator Bob Cooper, who zooms in on the world of the very small with the “What Leeuwenhoek Saw” activity.
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 activity explores images of planarians regenerating missing body parts, which serve as phenomena for learning about cell division and differentiation.
Keri Shingleton explains how she uses the BioInteractive animation on cancer and cell fate to spark curiosity in her students and encourage exploration of a topic.
This activity explores an image of tumor cells invading muscle tissue, which serves as a phenomenon for learning about cancer, mutations, and cell division.
In this article, Rocky Mountain College professor Holly Basta discusses how she sequences BioInteractive cancer resources to get her students to think about big questions in how cell division is regulated — and how understanding regulation can guide drug design.
This animation shows how mutations in an ion channel protein lead to the genetic disease cystic fibrosis. The animation also discusses how research on this protein has been used to develop treatments for the disease.
In this blog post, hear how North Carolina educator Robin Bulleri uses BioInteractive materials in Spanish to support her English Learner students and how she structures her classes to empower her students to learn both academic and technical vocabulary.
Want a simple but effective strategy for helping students interpret graphs? Check out this blog post by Pennsylvania educator Robert Cooper, who unpacks how to teach students to interpret complex data figures, such as those used in BioInteractive’s Data Points.