Greetings Colleague,
Are you interested in teaching quantitative reasoning and looking to include data exploration in your classroom? Have you been thinking about implementing a Project EDDIE module that utilizes best practices for using large datasets to improve quantitative reasoning in students?
We have two excellent Project EDDIE opportunities that will further enrich your teaching of scientific concepts and quantitative reasoning using large datasets:
Join the Project EDDIE Faculty Mentoring Network
Join the Fall 2019 Project EDDIE Faculty Mentoring Network (FMN) with the support of QUBES. This FMN will bring together faculty interested in implementing Project EDDIE teaching modules that address quantitative reasoning and scientific concepts using environmental data. Learn more about this opportunity. Application deadline is August 16, 2019.
Project EDDIE modules address quantitative reasoning and scientific topics spanning environmental disciplines (e.g., ecology, limnology, geology, hydrology, climate change, and environmental sciences) with a flexible structure to fit all teaching situations. 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. Participants will leave the FMN with modules available for implementation in multiple classroom settings, access to a network of peers, and an instructor story to share their experience about adapting and implementing an EDDIE module in their classroom.
Attend the Project EDDIE Module Development Workshop
This face-to-face Project EDDIE workshop will be held October 28-30, 2019 at Carleton College in Northfield, MN and will focus on the design and development of teaching modules that address the community identified needs and barriers associated with environmental content and quantitative reasoning. Module topics will span ecology, limnology, geology, hydrology, and environmental sciences. Each module will focus on specific scientific concepts and address a set of quantitative reasoning or analytical skills, using high-frequency datasets that are publicly available online. Workshop attendees will include faculty members from different disciplines and institution types and will be selected through an application process. Application deadline is August 25, 2019.