The WeatherX project iteratively developed and tested curriculum units and learning experiences with 12 teachers and over 470 middle-school students in rural districts in northern New Hampshire and Maine.
Fagan, E., Waterman, K., Louie, J., Fitgerald, B., Sezen-Barrie, A, Buffington, P., & Morrison, D. (in press). Learning about extreme weather with data. Science Scope.
Waterman, K., Fitzgerald, B., Fagan, E., Finzer, B. (2022). Monday's lesson: When it rains, does it always pour? @Concord, 26(2), 7. https://concord.org/newsletter/2022-fall/mondays-lesson-when-it-rains-does-it-always-pour/
Louie, J., Fagan, E., Fitgerald, B., Waterman, K., Sezen-Barrie, A., Buffington, P., Morrison, D., & Finzer, F. "Understanding weather extremes with big data: Inspiring rural youth in data science." Presented at the NSF ITEST PI Meeting, Alexandria, VA, May 6, 2024.
Marbach-Ad., G., Sezen-Barrie, A., Louie, J., Fagan, E., Fitzgerald, B., Waterman, K., Buffington, P. (2024). "Cultural Historical Analysis of Teacher Reflections on Data Investigations of Extreme Weather in Rural Classrooms." Presented at the NARST 2024 International Conference, Denver, CO, March 20, 2024.
Fitzgerald, B., Sezen-Barrie, A., Louie, J., Roche, B., Waterman, K., Buffington, P., Morrison, D., & Finzer, W. “Understanding Weather Extremes with Big Data: Inspiring Rural Youth in Data Science (WeatherX)” Presented during the "Geoscience Education Research" session at the National Association of Geoscience Teacher's 9th annual Earth Educators Rendezvous, July 10, 2023.
Sezen-Barrie, A., Louie, J., Roche, B., Fagan, E., Buffington, P., Fitzgerald, B., Waterman, K., Finzer, W., & Morrison, D. “Student Reflections on Data Investigations of Local and Extreme Weather: A Cultural Historical Activity Theory Perspective.” Presented virtually at the International Society of Learning Sciences Annual Meeting, Hiroshima, Japan, June 8, 2022.
Sezen-Barrie, A., Louie, J., Roche, B., Fagan, E., Fitzgerald, B., Waterman, K., & Morrison, D. “Rural Science Teachers' Sensemaking about Teaching' Data Practices to Investigate Authentic Weather Phenomena.” Presented virtually at the NARST 2022 International Conference, Vancouver, BC, March 27, 2022.
Morrison, D., Sezen-Barrie, A., Louie, J., Roche, B., Waterman, K., Fitzgerald, B., Buffington, P., & Finzer, W. “Examinations of Extreme Weather: Fostering Socially Just Science Learning in Rural Settings” Presented at the 31st Conference on Education during the “Accelerating Climate Action through Equitable and Just Education, Civic Engagement, and Workforce Development” joint session at the 102nd American Meteorological Society’s Annual Meeting, January 24, 2022.
Fitzgerald, B., Sezen-Barrie, A., Louie, J., Roche, B., Waterman, K., Buffington, P., Morrison, D., & Finzer, W. “Understanding Weather Extremes with Big Data: Inspiring Rural Youth in Data Science (WeatherX)” Presented at the 31st Conference on Education during the “A Community-Based Approach for Connecting Middle School Students to STEM Professionals and Career Opportunities” session at the 102nd American Meteorological Society’s Annual Meeting, January 24, 2022.
Sezen-Barrie, A., Louie, J., Roche, B., Waterman, K., Fitzgerald, B., Buffington, P., Morrison, D., and Finzer, W. “Socially just learning in rural science classrooms: Everyday sensemaking of extreme weather events across communities of practice.” Presented in the symposium session “Designing learning for just and resilient climate action” at the NARST 94th Annual International Conference, April 9, 2021.