Please use this identifier to cite or link to this item:
Title: Student Reflections on Data Investigations of Local and Extreme Weather: A Cultural Historical Activity Theory Perspective
Authors: Sezen-Barrie, Asli
Louie, Josephine
Roche, Brianna
Fegan, Emily
Buffington, Pam
Fitzgerald, Brian
Waterman, Kevin
Finzer, William
Morrison, Deb L.
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Sezen-Barrie, A., Louie, J., Roche, B., Fegan, E., Buffington, P., Fitzgerald, B., Waterman, K., Finzer, W., & Morrison, D. L. (2022). Student reflections on data investigations of local and extreme weather: A cultural historical activity theory perspective. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 2050-2051). International Society of the Learning Sciences.
Abstract: This study analyzes middle-school students' reflections on working with large-scale scientific data to investigate local extreme weather using the digital tool CODAP. Drawing from student focus group interviews and Cultural Historical Activity Theory, we examine factors that appeared to impede or facilitate data science learning in a sample of rural middle schools.
Description: Poster
Appears in Collections:ISLS Annual Meeting 2022

Files in This Item:
File SizeFormat 
ICLS2022_2050-2051.pdf237.36 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.