EDDIE Earth and Ecosystems
The EDDIE: Earth and Ecosystems project continues the work done in EDDIE Environmental Data and EDDIE: Macrosystems to create teaching modules that expand the range of topics, datasets, and quantitative skills that students learn. The project will develop and validate a much larger suite of curricular modules to 1) improve student quantitative reasoning, 2) develop a community of practice to engage faculty members and foster a pedagogical orientation that favors open inquiry with large datasets and, 3) determine what mechanisms contribute to shifts in an instructor's pedagogical orientation.
You can find the upcoming events and more on the EDDIE Events page.
Workshop: Barriers and Solutions to Teaching with Large Data Sets
Jun 17-19 2019 June 11-12, 2019 Carleton College, Northfield, Minnesota Application information: Applications will be available here in February 2019 Workshop Overview The emergence of large, sensor-based data sets provides an ...
Webinar: How to Adapt EDDIE Modules to Meet Students' Needs
Feb 14 2019 February 14th, 2019 10 PST | 12 CST | 1 EST - This webinar will focus on how to adapt existing EDDIE modules to meet your specific course objectives. Jen will share her experience and that of her colleagues in reducing the level of difficulty for entry level non-science major classes and adding extra activities for upper-level courses. In addition, she will discuss her experiences taking materials written by others and adapting them to her specific course environment. The webinar will focus on Jen's experience with the Lake Mixing, Lake Ice Phenology, Lake Modeling, and Nutrient Loading modules but the content will be applicable to all modules.
Webinar: Developing and Implementing EDDIE Teaching Modules Using High-frequency Datasets to Address Scientific Concepts and Quantitative Reasoning Skills
Jan 15 2019 January 15th, 2019 11 PST | 1 CST | 2 EST - Join us for the first EDDIE webinar of 2019. Nick will talk about his experiences with developing and using his EDDIE Stream Discharge Module that utilizes student collected data. He will also discuss his experience and tips when implementing modules (e.g., Soil Respiration) designed by other authors. Finally, Nick will compare modules designed using student collected data or pre-existing data.
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