New Article & Upcoming EDDIE Events

Project EDDIE is excited to share a new article, entitled Pedagogy of teaching with large datasets: Designing and implementing effective data-based activities, published in the journal Biochemistry and Molecular Biology Education. We invite you to check it out!

In addition, registration is open for two Project EDDIE events, taking place online this December.

Free Webinar

The Project EDDIE Spring Webinar Series continues:

Guiding Students to use Data to Support their Scientific Reasoning

December 12, 2022, 10:00 am PT | 11:00 am MT | 12:00 pm CT | 1:00 pm ET

Presenters: Kathleen Browne, Rider University, Andrea Drewes, Rider University, Sage Lichtenwalner, Rutgers University, and Gabriela Smalley, Rider University

Scientific reasoning is complex, and many of our students struggle to excel in this skill. With the support of an NSF IUSE grant, we are currently testing a new strategy built into intro oceanography courses, with early results showing success. During our DCER instructional framework, students initially are asked to thoroughly describe an online, interactive data set. We then guide students to use evidence from the data descriptions, relevant science content, and scientific reasoning to support a conclusion. This session will provide background on our strategy and hands-on experience with some of the steps we use to guide our students. We will use examples in the ocean sciences that attendees could adapt for other content areas.

Check back in early 2023 for additional webinars!

Online Workshop @ AGU

Teaching Quantitative Reasoning Using Data: Project EDDIE

December 7, 2022, 12-3pm CT
Registration is through AGU

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.