Hands-on Modeling Activities in Macrosystems EDDIE Teaching Modules Increase Undergraduate Students’ Ability to Define, Interpret, and Apply Advanced Concepts in the Environmental Sciences

Abstract:

Environmental scientists are increasingly applying macrosystems ecology concepts to understand ecological dynamics across multiple temporal and spatial scales. Integrating these macrosystems perspectives and approaches, including the use of simulation modeling and high-frequency datasets, into undergraduate curricula is needed to train future environmental scientists. Through the Macrosystems EDDIE (Environmental Data-Driven Inquiry & Exploration) project, we developed four hands-on, data-driven modules to introduce concepts in macrosystems ecology and biogeochemical cycling to undergraduate environmental sciences students. Modules combine high-frequency sensor data from GLEON (Global Lake Ecological Observatory Network) and NEON (National Ecological Observatory Network) lakes with ecosystem simulation models to address fundamental macrosystems ecology concepts while building computational literacy. Pre- and post-module assessment of over 300 students in 24 ecology and environmental sciences courses at 18 colleges and universities indicate that using high-frequency data combined with ecosystem simulation models as part of inquiry-based teaching modules can increase students’ understanding of concepts in macrosystems ecology and environmental sciences. Following module use, students were more likely to correctly define, interpret, and apply macrosystems concepts to environmental sciences and ecological research. Our results suggest that integrating hands-on ecosystem simulation modeling and data analysis activities into environmental sciences courses will improve students’ abilities to interpret complex and non-linear ecological dynamics.