EDDIE hosts a number of webinars that broadly focus around the topic of teaching with large datasets. Topics include discussions about identifying barriers and solutions, the suite of pedagogical tools, developing teaching modules, and implementing the teaching modules in the classroom.
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Upcoming EDDIE Webinars
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Webinar: Using Time Series Data in the Classroom
Webinar: How to Adapt EDDIE Modules to Meet Students' Needs
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 students' quantitative reasoning skills using large authentic datasets and Project EDDIE modules
February 7, 2019 8 PST | 10 CST | 11 EST Rebekka will describe how students make connections as they learn new material and why working with large authentic datasets can play an important role in addressing misconceptions. Catherine will describe how EDDIE modules are designed to help students improve quantitative reasoning using large datasets. They will both provide further insight into student and instructor experiences using these large-dataset modules.
Webinar: Developing and Implementing EDDIE Teaching Modules Using High-frequency Datasets to Address Scientific Concepts and Quantitative Reasoning Skills
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.