Welcome to EDDIE

EDDIE (Environmental Data-Driven Inquiry and Exploration) is a suite of education projects composed of STEM disciplinary and educational researchers. We develop flexible classroom teaching modules using large, publicly available, sensor-based datasets to engage students in STEM and improve their quantitative reasoning. Teaching modules span topics such as ecology, limnology, geology, hydrology, and environmental sciences. EDDIE also helps build the associated professional development needed to ensure effective use of the teaching modules.


Click here for information about EDDIE webinars and workshops
EDDIE Search Teaching Module button
EDDIE News button

Get Involved

Learn about webinars, workshops, opportunities, new teaching materials, and more. Sign up here to join the broad EDDIE community and receive email updates from the EDDIE program about opportunities, webinars, workshops, teaching modules, and news.







News

Browse all EDDIE News RSS

EDDIE Projects

Weather Station Landscape
EDDIE Earth and Ecosystems
Earth and Ecosystems expands the range of topics (e.g., biology, ecology, geology, hydrology, environmental science), datasets, and quantitative reasoning skills (e.g., processing, communicating, and interpreting quantitative data) through validating curricular modules and developing a community of practice to engage faculty members fostering inquiry with large datasets. Teaching modules aim to improve students' quantitative reasoning skills.


lac_du_milieu_de_widescreen
EDDIE Macrosystems
Macrosystems ecology is the study of ecological dynamics at multiple interacting spatial and temporal scales. Our interdisciplinary team is developing flexible classroom modules that introduce undergraduate students to the core concepts of macrosystems ecology and simulation modeling through the lens of limnology.


prarie_potholes_widescreen
EDDIE Environmental Data
Our interdisciplinary team of faculty and research scientists developed flexible classroom modules that aim to expose undergraduate students to such real-world experiences. These modules utilize large, long-term, high-frequency and sensor-based datasets that can be used in a variety of introductory, mid-level, and advanced courses. Module topics include climatology, limnology, seismology, soil science, and hydrology.