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Abstract Title: Understanding Student Computational Thinking with Computational Modeling
Abstract: Computational thinking comprises all the processes of conceptualizing how the instantaneous influences on a system construct the system's overall evolution, moment by moment. For example, in physics this might mean conceiving of the flight of a projectile as an iterative process, with each previous moment's velocity and force influencing the subsequent position and velocity in a discrete series of steps.  To engage in the successful practice of computational modeling, a student must apply computational thinking and include a successful explanation of the physical model.  Student dynamical thinking was assessed in a high school Modeling Instruction physics classroom with a written essay and a series of think aloud interviews, where the students produced and discussed a computational model of a baseball in motion via a high-level programming environment (VPython).
Abstract Type: Contributed Poster Presentation

Author/Organizer Information

Primary Contact: John M. Aiken
Georgia State University
3736 Gloucester Drive
Tucker, GA 30084
Phone: 6786973181
Co-Author(s)
and Co-Presenter(s)
Scott S. Douglas2, John B. Burk3, Michael F. Schatz2, Marcos D. Caballero4, Erin M. Scanlon2, Brian D. Thoms1

[1] Georgia State University
[2] Georgia Institute of Technology
[3] St. Andrew's School
[4] University of Colorado Boulder