JASM 2022
Teaching Quantitative Reasoning Using Data: Project EDDIE
Summarizing, condensing, displaying, and communicating quantitative data remains a persistent challenge in undergraduate science education. The emergence of large, long-term and sensor-based datasets provides an opportunity to engage students in engaging with environmental challenges through open-ended exploration and interpretation.
In this workshop we will consider what it takes to be ready to teach quantitative reasoning with data in your course including: consideration of how to fit quantitative reasoning experiences into a syllabus, generating learning goals, and setting the context in a class so students are primed to be successful. We will also explore how your learning outcomes can be met using Project EDDIE teaching modules.
Project EDDIE is an NSF funded effort engaging faculty from a range of institution types to create flexible classroom modules that aim to expose undergraduate students to real-world experiences. The growing collection of modules includes topics in limnology, phenology, climateology, soil science, and hydrology and is freely available online. This workshop will include presentations, small-group work time, opportunity to explore the Project EDDIE modules and active discussions. Participants will leave with an individual action plan. Workshop participants will be asked to bring a laptop and complete a pre-workshop survey. More information about Project EDDIE: https://serc.carleton.edu/185645
Macrosystems EDDIE: Teaching Ecological Forecasting to Undergraduates
Ecological forecasting is an emerging approach which provides an estimate of the future state of an ecological system with uncertainty, allowing society to better manage important ecosystem services. Ecological forecasts are a powerful test of the scientific method because ecologists make a hypothesis of how an ecological system works; embed their hypothesis in a model; use the model to make a forecast of future conditions; and then assess the accuracy of their forecast, which indicates if their hypothesis is supported or needs to be updated. Consequently, freshwater ecologists are increasingly using ecological forecasts to predict how ecosystems are changing, but to date there have been few opportunities for receiving training in ecological forecasting at the undergraduate level.
Our team is developing teaching modules to teach the foundational concepts of ecological forecasting to undergraduates with R Shiny apps as part of the Macrosystems EDDIE (Environmental Data-Driven Inquiry & Exploration; MacrosystemsEDDIE.org). We use large, publicly-available freshwater datasets from NEON and GLEON to engage students in ecology and improve their quantitative reasoning. Each module can be adapted for use in introductory, intermediate, and advanced courses to enhance students' understanding of freshwater ecology, macrosystems ecology, and ecological forecasting. In this workshop, we will provide an overview of the Macrosystems EDDIE modules to instructors.
AGU 2022
Teaching Quantitative Reasoning Using Data: Project EDDIE
Utilizing quantitative skills and reasoning is critical in addressing real-world environmental problems. The use of real data can both illustrate the evidence-based thinking behind these environmental problems and their solutions as well as be a 'hook' to capture students' interest. In particular, large, long-term data sets provide an opportunity to engage students with environmental challenges through open-ended exploration and data interpretation. This workshop will use Project EDDIE materials to address what it takes to be ready to teach quantitative reasoning with data in your course including: consideration of how to fit quantitative reasoning experiences into a syllabus, generating learning goals, and setting the context in a class so students are primed to be successful. We will also explore how your learning outcomes can be met using Project EDDIE teaching modules.
Project EDDIE is an NSF funded effort engaging faculty from a range of institution types to create flexible classroom modules that aim to expose undergraduate students to real-world experiences. The growing collection of modules includes topics in limnology, environmental science, ecology, phenology, climatology, and hydrology and is freely available online. This workshop will include presentations, small-group work time, an opportunity to explore the Project EDDIE modules and active discussions. Participants will leave with ideas for how they can implement modules in the classroom. Workshop participants will be asked to bring a laptop and complete a pre-workshop survey. More information about Project EDDIE: https://serc.carleton.edu/185645