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Session Type: Symposium
Science studies have identified forms of modeling that blend or fuse physical and virtual modalities as a distinctive feature of some emerging scientific fields, such as computational physics, biochemistry, and biomedical engineering. In parallel, in K-16 contexts, science education researchers have been designing learning environments to help students leverage and integrate a range of disciplinary tools in service of inquiry, including computational models, “in vivo” and “in vitro” physical models, and experiments. In this session, we aim to understand students’ resources for developing flexible STEM practices that combine multiple tools and modalities, and we consider designs that support the development of these practices across K-16 contexts in relation to professional science practices.
Middle Schoolers Modeling an Epidemic: From Square Dance to Code - Eric N. Wiebe, North Carolina State University; Danielle Cadieux Boulden, Code.org; Madeline Hinckle, North Carolina State University; Arif Rachmatullah, SRI International; Teresa Leavens, North Carolina State University; Nick Lytle; Veronica Catete, North Carolina State University; Tiffany Barnes
Commitments, Convergence, and Modeling in Middle School Science - Ashlyn Pierson, The Ohio State University; Corey Brady, Vanderbilt University; Doug Clark, University of Calgary; Pratim Sengupta, University of Calgary
Bifocal Modeling: Summative Results of Studies Combining Real-World Data and Computational Models - Paulo Blikstein, Columbia University; Tamar Fuhrmann, Columbia University
Thinking Beyond the Experiment: Expanding Framings of an Undergraduate Laboratory Course - Julia Svoboda Gouvea, Tufts University; Aditi Wagh, Massachusetts Institute of Technology
Linking Physical and Computational Models in Preservice Teacher Education - Amy Voss Farris, The Pennsylvania State University; Gözde Tosun, The Pennsylvania State University