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dc.contributor.authorFarris, Amy
dc.contributor.authorDickes, Amanda
dc.contributor.authorSengupta, Pratim
dc.identifier.citationFarris, A., Dickes, A., & Sengupta, P. (2020). Grounding Computational Abstractions in Scientific Experience. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 3 (pp. 1333-1340). Nashville, Tennessee: International Society of the Learning Sciences.en_US
dc.description.abstractOpportunities for computational modeling bring about new and productive uncertainties in students' explanations of the relationship of phenomena “in the world” to their models of those phenomena. Computational abstractions that become useful in the lifeworld of the classroom are steeped in the history of how those abstractions came to be used and understood. In this paper, we describe how two elementary classrooms used a programming and modeling language in ways that link their material enactments, measurements, and paper-based forms of representations to productive computational abstractions. The heterogeneity of computational abstractions––and how they came to enter the shared language within these classrooms––have implications for our understanding of how learners perceive their shared production of scientific explanations and the computational and non-computational tools they use. Findings have implications for the design of programming environments and for K12 computational modeling, both in regard to science education and computing education.en_US
dc.publisherInternational Society of the Learning Sciences (ISLS)en_US
dc.titleGrounding Computational Abstractions in Scientific Experienceen_US
dc.typeLong Paperen_US
Appears in Collections:ICLS 2020

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