Climate Change Module (Project EDDIE) for Introductory Statistics
Author(s): Jessie Oehrlein
Fitchburg State University
878 total view(s), 630 download(s)
- Climate Change Module
bivar_assessment.pdf(PDF | 173 KB)- Climate_Change_modified.pdf(PDF | 58 KB)
- corr_reg_slides.pdf(PDF | 308 KB)
- debrief_slides.pdf(PDF | 208 KB)
- inquiry_correlation_regression.pdf(PDF | 385 KB)
- lin_eqns_slides.pdf(PDF | 480 KB)
- reg_activity_slides.pdf(PDF | 683 KB)
- surveys_homework_links.pdf(PDF | 19 KB)
- License terms
Description
In this module, students will explore how climate is changing from the recent record, using and interpreting correlation and linear regression to study relationships among temperature, carbon dioxide concentration, and time.
This is a modification of the Project EDDIE Climate Change module, based on the original A and B portions, but with an emphasis on quantitative reasoning and statistics as opposed to the climate content. Supporting materials teach concepts about linear equations, correlation, and linear regression. The modified EDDIE module was taught in an introductory, algebra-based statistics course over two class sessions, one 75 minutes and one 50 minutes. The other materials were used in a prior 50-minute session, a prior 75-minute session, between class periods, and as assessment afterwards. The course was hyflex (simultaneously in-person and synchronous remote) to two sections of 25 students.
Project EDDIE Environmental Data-Driven Inquiry & Exploration) is a community effort aimed at developing teaching resources and instructors that address quantitative reasoning and scientific concepts using open inquiry of publicly available data. Project EDDIE modules are designed with an A-B-C structure to make them flexible and adaptable to a range of student levels and course structures.
Notes
- Updated dataset to continue to 2021 instead of 2014 and provided data to students
- Removed section C and modified sections A and B to three sections
- Adapted from Excel to a mix of Google Sheets and Stapplet
- Included both R and R2, asked about explanatory vs. response variables, and other adjustments to activity to focus on statistics and interpretation (over climate change content)
- Augmented with review materials on linear equations, inquiry-based introduction to correlation and regression, slides for discussion of those topics, and student reflection, homework, quiz questions, and project on correlation/regression
Cite this work
Researchers should cite this work as follows:
- Oehrlein, J. (2022). Climate Change Module (Project EDDIE) for Introductory Statistics. QUBES Educational Resources. doi:10.25334/KKGD-AP27