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Upcoming Project EDDIE Webinars
Posted: Jan 20 2020

Project EDDIE will be hosting four webinars during the Spring 2020 semester.

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Upcoming Project EDDIE Webinars
Posted: Jan 20 2020

Project EDDIE will be hosting four webinars during the Spring 2020 semester.

Coming Soon: EDDIE Webinars in Spring 2020
Posted: Dec 13 2019
Project EDDIE will be hosting three webinars in during the spring of 2020. These webinars will cover topics related to instructors adapting and implementing EDDIE modules into their classrooms and how instructors can integrate publicly available data into their classroom.
Project EDDIE Module Development Workshop: Oct 28-30 - Applications now available
Posted: May 24 2019
The Project EDDIE Module Development Workshop will be held at Carleton College in Northfield, Minnesota from October 28-30. This workshop focuses on participants developing flexible EDDIE teaching modules that pair scientific concepts and quantitative reasoning with teaching with data.
Visit Project EDDIE at GSA 2019 in Phoenix
Posted: Sep 9 2019
Visit Project EDDIE at GSA 2019 in Phoenix
Project EDDIE Faculty Mentoring Network
Posted: Jul 14 2019
Project EDDIE is excited to be partnering with QUBES to offer a Project EDDIE Faculty Mentoring Network (FMN) for the Fall 2019 semester. Participants in this FMN will focus on how to use EDDIE modules in their undergraduate courses by participating in biweekly virtual sessions to collaborate with and support others in the network and receive mentoring.
EDDIE Workshop: Teaching Quantitative Reasoning with Data
Posted: Dec 4 2018
June 11-13, 2019 Carleton College, Northfield, Minnesota The increasing availability of environmental data sets provides an opportunity to engage students in STEM and improve quantitative reasoning through ...
Webinar: Using Time Series Data in the Classroom
Posted: Jan 14 2019
March 6th, 2019 11 PST | 1 CST | 2 EST - This webinar will discuss these challenges and present potential solutions. First, we will demonstrate Seismic Canvas, a downloadable waveform display and printing application that offers significant exploration and analysis functionality. Second, we will discuss ways that cloud computing can used to create predefined environments to eliminate the challenge of installations and environment setup on a local machine.
Webinar: How to Adapt EDDIE Modules to Meet Students' Needs
Posted: Nov 30 2018
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
Posted: Dec 17 2018
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
Posted: Nov 26 2018
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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