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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 asynchronous course aims to deepen educators’ knowledge of inclusive teaching practices. The course was designed with undergraduate introductory life science educators in mind, but components of the course will resonate with educators in other contexts.

To develop our Model Builder web tool, BioInteractive worked with Jon Darkow, an educator in Ohio. This Q&A discusses the Model Builder development process and the features he's most excited about.

Getting students engaged in learning about the cell cycle can be difficult. In this Educator Voices article, educator Kathy Van Hoeck describes how she uses cancer as an anchoring phenomenon to spark student interest.

HHMI BioInteractive is a proud collaborator on a new project that reimagines the original Crash Course Biology series. In this article, science communicator Hank Green discusses how this collaboration will deliver value for both students and teachers for years to come. 

In this Educator Voices article, professor John Moore describes a "backwards" approach to teaching energy use in cells that traces the process from ATP in use back through glycolysis. 

This interactive video explores how two scientists tracked the 2013 Ebola outbreak in West Africa. 

This interactive tool introduces students to building scientific models. Educators can use the tool to create assignments and, in some cases, automatically grade student models. 

Asking scientific questions is a foundational skill that takes instructional support for students to develop. In this article, Bernice Brythorne outlines how she uses BioInteractive resources to get her students to formulate and refine scientific questions. 

In this Click & Learn, students explore the process of digestion and how it connects to metabolism and cellular respiration. 

This interactive module can be used to model infectious disease spread in a population. It includes background on the SIR model and two simulators for modeling disease spread on different scales. 

In this Click & Learn, students explore factors that contribute to patterns seen in the Keeling Curve: a continuous record of atmospheric CO₂ starting in 1958.