EDDIE Workshops

EDDIE workshops bring together faculty and instructors to build a community interested in understanding the needs and barriers associated with teaching quantitative reasoning and teaching with large datasets. Other workshops include participants developing teaching modules for courses across environmental and Earth science disciplines to be sequenced or used as a stand-alone material for in-class laboratory sessions, homework, or online. Programs from the workshops listed below contain presentations and other helpful resources from the workshop - all free to use!

Workshops

Project EDDIE Workshop EWU August 2023

August 21-22, 2023
Workshop is limited to the participants who are local to the Cheney/Spokane area

Following on the success of the June workshop, a second workshop will be convened at EWU. This EDDIE mini-workshop provides an opportunity for participants to build expertise in teaching quantitative reasoning using environmental data-driven inquiry through EDDIE modules that embed these concepts. Project EDDIE modules address scientific topics spanning environmental disciplines with a flexible structure to fit all teaching situations. Participants will engage in self-reflection and discussions around the challenges and successful strategies for teaching with data and scientific inquiry. Participants will leave the workshop with a draft implementation plan to use an EDDIE module, a support network of peers, and an introduction to supporting resources for your teaching.

Teach Quantitative Reasoning and Ecological Forecasting to Undergraduates with Project EDDIE and Macrosystems EDDIE Modules - ESA 2023

In conjunction with the annual ESA meeting in Portland, OR
August 9, 2023

This workshop is an introduction to materials and approaches for teaching quantitative reasoning and ecological forecasting using messy, real-world environmental data in undergraduate courses through the Project EDDIE and Macrosystems EDDIE programs. We will introduce participants to approachable tools, materials and strategies to teach quantitative reasoning and ecological forecasting at the undergraduate level in ecology, geology, hydrology, and related fields, including how to: set measurable learning goals, optimize the sequence of instruction in syllabi, and scaffold learning activities to lead to student success. In this workshop, we will focus on the Macrosystems EDDIE program, which has developed modules to support teaching the foundational concepts of ecological forecasting with R Shiny applications. We will provide an overview of the EDDIE approach, ask participants to work through a Macrosystems EDDIE module as a demonstration, and guide participants through developing their own strategies for implementing modules in both virtual and face-to-face classrooms.

Teaching Quantitative Reasoning with Real Data - The EDDIE Way!

In conjunction with the 2023 Earth Educators' Rendezvous in Pasadena, CA
July 13-14, 2023

This workshop introduces participants to the Project EDDIE resource collection – the results of an NSF-funded effort to create flexible classroom modules that aim to expose students to real-world data and practice critical analysis and quantitative reasoning skills. The collection of modules includes a variety of topics in ecology, earth and environmental sciences and is freely available online. This two-day workshop will include short presentations of EDDIE materials, discussions of the common elements of structure of all EDDIE materials and the benefits of teaching with data on student learning, opportunities to freely explore the EDDIE collection, and time to consider revisions and adaptations to modules that are appropriate for participants' courses; our goal is that participants will leave with an action plan to adapt a module for their use in a new or existing course.

Project EDDIE Workshop EWU June 2023

June 29-30, 2023
Workshop is limited to the participants who are local to Eastern Washington University

Are you looking to teach scientific concepts using data exploration and open inquiry? Are you interested in teaching quantitative reasoning in your classroom? This EDDIE mini-workshop provides an opportunity for participants to build expertise in teaching quantitative reasoning using environmental data-driven inquiry through EDDIE modules that embed these concepts. Project EDDIE modules address scientific topics spanning environmental disciplines with a flexible structure to fit all teaching situations. Participants will engage in self-reflection and discussions around the challenges and successful strategies for teaching with data and scientific inquiry. Participants will leave the workshop with a draft implementation plan to use an EDDIE module, a support network of peers, and an introduction to supporting resources for your teaching

Teaching Quantitative Reasoning Using Data: Project EDDIE Workshop - AGU

In conjunction with the 2022 American Geophysical Union (AGU) Fall Meeting
Wednesday, December 7, 2022
Online, via Zoom / Register through AGU

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 (Environmental Data-Driven Inquiry and Exploration) 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, best practices for working with large datasets in the classroom, 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. Participants will leave with ideas for how they can implement modules in the classroom in the form of a personal action/implementation plan.

Project EDDIE Leadership Development Workshop

September 25-27, 2022, Carleton College, Northfield, MN
By invitation only

A new Leadership Program is being implemented to support the ongoing development of the Project EDDIE community and to help facilitate its growth into a self-sustaining model. The goal of the Project EDDIE Leadership Program is to share what we have learned from running the Project EDDIE program with the academic Earth and Environmental Science community who lead professional development activities for their colleagues. We will share our expertise on two equally important, complementary topics:

Leading Project EDDIE workshops and webinars and
Showcasing best practices or innovative methods in pedagogy using the EDDIE Way

The invitation-only Project EDDIE Leadership Development workshop aims to train new community leaders with significant Project EDDIE experience to lead and facilitate professional development events, including workshops and webinars, that demonstrate the EDDIE Way and bring Project EDDIE resources to new audiences. The workshop will provide resources and expertise needed to run these events and will provide leaders with support and mentoring to help in this endeavor.

Teaching Quantitative Reasoning Using Data: Project EDDIE Workshop - LTER All Scientists' Meeting

In conjunction with theLTER All Scientists' Meeting 2022
September 22, 2022, 1:30-3:00pm PT, Asilomar Conference Center, Pacific Grove, CA

This workshop is an introduction to materials, approaches and 'on ramp' strategies to teaching quantitative reasoning in undergraduate courses for ecology, geology, hydrology and related fields created by participants in Project EDDIE - Environmental Data-Driven Inquiry and Exploration. Summarizing, displaying, and communicating quantitative data remains a persistent challenge in undergraduate science education, and also a skill we seek out in research assistants and graduate students. The prevalence of large, long-term datasets provides an opportunity to engage students in engaging with environmental challenges through open-ended exploration and interpretation. Project EDDIE provides complete and straightforward, evidence-based teaching materials on a range of LTER-relevant topics to guide instructors in teaching with data and fostering students self efficacy in quantitative reasoning.

In this workshop we will consider what it takes to be ready to teach quantitative reasoning with (LTER, NEON, other) 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. More information on the Project EDDIE website.

Teaching Quantitative Reasoning Using Data: Project EDDIE

In conjunction with the Joint Aquatic Sciences Meeting 2022
May 15, 2022, 8:00am-12:00pm ET, Grand Rapids, MI
This workshop use approaches and materials developed through Project EDDIE (Environmental, Data-Driven, Inquiry and Exploration) to facilitate participants planning to bring quantitative reasoning and teaching with data into their existing undergraduate courses. Participants will be introduced to the EDDIE resources and leave with a personal action plan. This workshop can be taken as a stand alone session, or in series with the Macrosystems EDDIE workshop scheduled just after on the same day. Registration will be through the JASM meeting website.

Show Abstract

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

Organizer:
Cailin Huyck Orr, SERC at Carleton College, corr@carleton.edu

Macrosystems EDDIE: Teaching Ecological Forecasting to Undergraduates

In conjunction with the Joint Aquatic Sciences Meeting 2022
May 15, 2022 1-5pm ET, Grand Rapids, MI
In this workshop we will introduce instructors to newly created teaching modules on Ecological Forecasting.These materials takeastructured approach to helping undergraduate students learn to apply the iterative forecasting cycle to develop an ecological forecast for a NEON site and practice creating forecasts that are effectively designed and communicated to managers and the public. This workshop can be taken as a stand alone session, or in series with the Teaching Quantitative Reasoning workshop held just before on the same day. Registration will be through the JASM meeting website.

Show Abstract

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.

Organizers:
Tadhg Moore, Virginia Tech, tadhgm@vt.edu
Cayelan Carey, Virginia Tech, cayelan@vt.edu
Whitney Woelmer, Virginia Tech, wwoelmer@vt.edu

Module and Community Development Experience

January 20, 27, and February 10, 2022; and short virtual peer review sessions
Online, via Zoom

Participants will build a community as they create an EDDIE teaching module featuring inquiry and quantitative reasoning. During the workshop you will construct a module that uses an openly available dataset for an ecology, limnology, geology, hydrology, or environmental science course. Each module will focus on specific scientific concepts and address a set of quantitative reasoning or analytical skills using large datasets that are available online. A virtual peer review and module share out and dissemination planning meeting will help you improve your module before piloting and identify linkages in themes, skills, habits, and target audiences to build interest for your module. Participants will include instructors from different disciplines and institution types and will be selected through an application process.

Building Quantitative Literacy Through Science, Education, and Art Workshop

In conjunction with the 2021 American Geophysical Union (AGU) Fall Meeting
December 8, 2021
Online, via Zoom

The real world focus of Project EDDIE modules offers the opportunity for synergies through art that enhance student learning or help students connect with or co-create ideas with broader audiences. Working with real world quantitative data opens pathways to creatively problem-solve and infuse science more deeply into student understanding. Art provides a complementary framework for learning quantitative reasoning by adding cultural or contextual understanding. Art provides a way to expand the reach of important ideas through a creative process open to all. At this workshop participants will: 1) Engage in strategies for incorporating real world data and quantitative literacy into courses. 2)Engage in strategies for enhancing quantitative literacy through the arts. 3) Develop an action plan for teaching inquiry and quantitative reasoning using an EDDIE module in their course and enhancing student learning through artistic expression.

Project EDDIE Module Adoption Virtual Workshop

November 5, and 9 or 10, 2021 - 6 hours total
Online, via Zoom

This workshop supports instructors interested in teaching quantitative reasoning & inquiry with openly available data through EDDIE teaching modules. During the first session of the workshop you will have support customizing an EDDIE module to fit your environmental science, geology, ecology, or related course. Then you will choose at least one supporting session that best fits your instructional goals for inclusive teaching and student community building. Participants will be provided a stipend for full participation which includes completing a plan to adopt an EDDIE module.

LTER-EDDIE Module & Community Development Experience, starting September 2021

September 8, 17, and 28, 2021
Virtual

This by-invitation experience begins with a 3 day virtual curriculum development workshop that will engage participants from the LTER community in designing and developing undergraduate teaching modules that showcase LTER data. Modules developed will connect students with LTER research interests and provide them with the opportunity to analyze LTER data. To build on the breadth of our existing teaching materials we are recruiting faculty from LTER sites that explore desert ecosystems and urban ecosystems, and using ecosystems data to engage for justice, equity, diversity, & inclusion. After the workshop, you will meet with your community and support each by discussing your teaching experiences and shared interests.

Teaching Scientific Concepts and Quantitative Reasoning with Environmental Data-Driven Inquiry Workshop

July 28, 2021, in conjunction with the BIOME Institute
This EDDIE mini-Workshop provides an opportunity for participants to build expertise in teaching quantitative reasoning using environmental data-driven inquiry through EDDIE modules that embed these concepts. Project EDDIE modules address scientific topics spanning environmental disciplines with a flexible structure to fit all teaching situations.

Participants will engage in self-reflection and discussions around the challenges and successful strategies for teaching with data and scientific inquiry. Participants will leave the workshop with a draft implementation plan to use an EDDIE module, a support network of peers, and an introduction to supporting resources for your teaching. Learn more about Project EDDIE Modules.

Project EDDIE Module Design and Development Workshop 2019

October 28-30, 2019
Carleton College, Northfield, MN

This 3-day face-to-face workshop 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 topics such as 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.

Teaching Quantitative Reasoning with Data

June 11-13, 2019
Carleton College, Northfield, Minnesota

This workshop will bring together faculty and instructors to build a community interested in understanding current best practices and strategies, as well as the continuing needs and barriers associated with teaching quantitative reasoning and teaching with large data sets. Time will be allocated for individual action planning and opportunity for peer input. Participants will help create a community vision and identify the topics, skills, and people to inform the design and development of teaching modules at an EDDIE Teaching Module Development Workshop scheduled for October 2019.