DryadLab is the education focused component of the Dryad Digital Repository. Research scientists have teamed up with experienced educators to develop hands-on, data-driven modules that use datasets published in the Dryad Digital Repository. Modules encourage students to generate hypotheses and then manipulate, graph, and interpret large datasets. The modules focus on basic ecology-related topics, including survivorship curves, extinction bias, and evolutionary trade-offs.
Share, learn, and access resources and tips for teaching with R (including RStudio, R Markdown, and Shiny). New and experienced R users are welcome.
Share, learn, and access resources and tips for teaching with NetLogo, along with other agent-based models. New and experienced NetLogo users are welcome.
Data Nuggets are classroom activities, co-designed by graduate students and teachers, which give students practice interpreting quantitative information and making claims based on evidence. They are created from ongoing scientific research and provide a brief background on scientist and their study system, a dataset from their research, and challenge students to answer a scientific question using the dataset to support their claim. The goal of Data Nuggets is to engage students in the practices of science through an innovative approach that combines scientific content from authentic research with key concepts in quantitative reasoning. Because of their simplicity and flexibility, Data Nuggets can be used throughout the school year as students build confidence in their quantitative skills.
QUBES is organizing a network of peers and expert mentors that will help faculty teach agent-based models. Agent or individual based models seek to explain complex behavior of groups by modeling the action of individuals with simple rules. Applications include disease spread, animal migration and foraging, muscle development, membrane function, population genetics and much more. NetLogo is a very student-friendly gateway into modeling.