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Title: Characterizing Computational Thinking in High School Science
Authors: Swanson, Hillary
Irgens, Golnaz Arastoopour
Bain, Connor
Hall, Kevin
Woods, Philip
Rogge, Carson
Horn, Mike
Wilensky, Uri
Issue Date: Jul-2018
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: Swanson, H., Irgens, G. A., Bain, C., Hall, K., Woods, P., Rogge, C., Horn, M., & Wilensky, U. (2018). Characterizing Computational Thinking in High School Science. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 2. London, UK: International Society of the Learning Sciences.
Abstract: This study identifies high school students' computational thinking practices in the context of science, technology, engineering, and math (CT-STEM practices) and the relationships between their practices-in-use. More specifically, we explore the CT-STEM practices that emerged as a result of students' participation in a two-day biology lesson featuring the exploration of a computational model on predator-prey dynamics. Digitally recorded data were taken from seventy-six students across four classes of one teacher. By applying a grounded analysis to students' written responses to two different assessment items embedded within the lesson, we found four CT-STEM practices related to identifying a model's limitations and eight practices related to exploring the model. Applying a network analysis to responses coded for these practices, we found networks representing common patterns of practices-in-use. This work identifies the informal CT-STEM practices that students bring to their learning and models combinations of practices-in-use.
Appears in Collections:ICLS 2018

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