Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6362
Title: Computational Tinkering in Science: Designing Space for Computational Participation in High School Biology
Authors: Dixon, Colin
Hardy, Lisa
Hsi, Sherry
Van Doren, Seth
Keywords: Learning and Identity
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Dixon, C., Hardy, L., Hsi, S., & Van Doren, S. (2020). Computational Tinkering in Science: Designing Space for Computational Participation in High School Biology. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 1 (pp. 154-161). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: Computational tools are being integrated into science classrooms, but in ways that are often procedurally prescribed, constraining learner agency and ignoring student purposes and epistemic practices. We draw on theory and approaches from making-oriented education to introduce computational tinkering in science as a construct for thinking about and designing for learning with computational tools. Across two design research cycles in high school science classrooms, we analyze episodes of student activity to understand how practices of computational tinkering might translate from informal settings to formal science classrooms to enable learners to engage in practices that reflect authentic scientific work, draw upon learner experiences, and support more equitable participation in science. Looking across both student-centered and curricula-centered science classrooms for emergent goals, rapid iteration, and noticing and reflection, we saw computational tinkering take shape during moments of play, troubleshooting and tuning, and sharing. We discuss findings and implications for practice in relation to professional science practice and goals of science education in an era of computational ascendancy.
URI: https://doi.dx.org/10.22318/icls2020.154
https://repository.isls.org//handle/1/6362
Appears in Collections:ICLS 2020

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