Using Project EDDIE modules in MSC 160 Oceanography
Jacqui Degan, Cape Fear Community College
All students have at some point experienced a storm. The Bomb Cyclone module is a great series of activities to use during the Atmospheric Circulation section of an Introductory Oceanography course. It introduces students to working with large datasets and basic graphing skills in Excel, and exposes students to how messy real data can be.

Using the Project EDDIE Major Ions in Freshwater Systems module in Environmental Processes, Challenges, and Methods
Megan Kelly, Loyola University Chicago
This module introduces students to a common and important source of freshwater pollution that invites debate about how to address the problem. By examining publicly available data, students can discover what types of environments are likely to suffer from road salt pollution, compare environmental concentrations of chloride to concentrations of legal and biological concern, and either defend the use of sodium chloride for road deicing or propose another solution, based on their understanding of the data.

Using Project EDDIE modules in Global Challenges, Scientific Solutions: Climate Change
Pamela Freeman, The College of Saint Scholastica
We found this case study to have an outsized impact on our students. The students reported feeling more confident with data, spreadsheets, and analysis, and were surprised with what they could do. They were also surprised by the biological findings, some events were happening earlier and some were not affected by slightly warmer temperatures.

Using the Project EDDIE Green Infrastructure/Green Roofs module in Envsci101
Elizabeth Farrell, Nassau Community College
Excess runoff often times carries with it pollutants and contaminants, and has proven to damage water quality. In this module students will explore green roofs as a potential solution to the environmental impacts of increased precipitation brought on by climate change. The module is designed to help students learn how to work with data tin order to help develop and improve their analytical and critical thinking skills.

Using Project EDDIE modules in Earth Science
Adriana Perez, El Paso Community College
Working with real life data can be a a very rewarding activity for students. It gives them the opportunity to have hands-on experience and therefore is more likely to enhance their learning experience.

Using Project EDDIE modules in GEO 305: Water and Society
Aurora Kagawa-Viviani, University of Hawaii at Manoa
An instructor story page detailing how Aurora Kagawa-Viviani adapted the Project EDDIE Environmental Pollution & Public Health module for her upper-level undergraduate course GEO 305: Water and Society, focusing on water quality, PFAS contamination, and public health, with downloadable adaptation materials developed during a Faculty Mentoring Network with QUBES. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Oceanography
Sarah "Sally" Zellers, University of Central Missouri
Instructor story page detailing the implementation of the Project EDDIE "Hypoxia in Coastal Marine Ecosystems" module in an introductory undergraduate oceanography course for non-majors, including adaptations, teaching strategies, student outcomes, and educator-only supplemental materials developed through a QUBES Faculty Mentoring Network. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using the Project EDDIE Remote Sensing of Plants and Topography in R module in BIOL 533 – GIS Applications in Landscape Ecology
Liz Ferguson, California State University-San Marcos
Instructor story detailing the integration of the Project EDDIE Remote Sensing of Plants and Topography in R module into a graduate-level GIS and landscape ecology course, highlighting its adaptation for asynchronous learning, student engagement with NEON data via RStudio Cloud, implementation challenges, and outcomes, including assessment through narrated video projects. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Climate Change
Kausik Ghosh, Vidyasagar University
Instructor story page detailing Kausik Ghosh's adoption of Project EDDIE's Climate Change module in a graduate-level Geography lab course at Vidyasagar University, emphasizing data analysis with Excel to teach climate change concepts through structured, guided, and inquiry-based learning. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Invertebrate Biology
Emily Mohl, Saint Olaf College
Phenology is a broadly accessible topic for students with clear relevance for understanding and predicting the effects of climate change; consequently, it provides strong motivation for students to develop data analysis skills. Using data from the National Phenology Network, students are able to make decisions about how to use simple tools like scatterplots and linear regressions to predict which species are likely to be impacted by climate change. They must wrestle with questions about data reliability and confidence in their answers.

Using Project EDDIE modules in Principles of Sustainability
Andrea Huntoon, Fox Valley Technical College
Instructor story detailing the implementation of the Project EDDIE Sustainability Metrics module in an introductory, non-majors sustainability course, covering course context, teaching adaptations, student challenges with data analysis, and reflections on improving graphing instruction for future use. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Introduction to Environmental Science
Kristy Hopfensperger, Northern Kentucky University
Instructor story page detailing the implementation of Project EDDIE's Phenology and Climate Change module in an online introductory environmental science course, covering adaptation strategies, teaching challenges in virtual settings, student engagement with data analysis, and reflections on improving active learning for non-majors. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Hybrid Oceanography Lab
Karen Bridges, Howard Community College
Instructor story detailing the adaptation and implementation of Project EDDIE’s Paleoclimate and Ocean Biogeochemistry module in a hybrid introductory oceanography lab for non-majors, emphasizing data-driven learning, Excel skill development, and challenges with online higher-order analysis, including educator-only teaching materials and reflections on future in-person use. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in BIOL 212: Fundamentals of Biology II, The Diversity of Life
Courtney Campany, Shepherd University
Instructor story detailing adaptation of the Project EDDIE "Climate Drivers of Phenology" module in an introductory undergraduate biology course, covering implementation, challenges in data analysis using Excel, student learning outcomes, and reflections on future use, developed during a QUBES Faculty Mentoring Network. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Using Project EDDIE modules in Freshwater Ecology
Jen Klug, Fairfield University
This module introduces students to a unique ecosystem (karstic wetlands) that they are probably not familiar with. The module teaches them how to run and interpret diagnostic tests for linear models in R without requiring much coding experience. Sharing their results with their peers allows them to practice comparing models to determine which variables are the best predictors of periphyton biomass and food quality.