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Session Type: Symposium
This session brings together four empirical projects that examine how to design for mathematical and scientific reasoning and problem solving, leveraging the affordances of digital environments. Using a methodology called Design Based Research, the papers highlight the influence of theoretical frameworks on both initial designs and revisions that were made, drawing, in different ways, on theories of learning that highlight the role of interaction, context, and design to support learning of core disciplinary ideas. By looking across these four different projects, we seek to both point to commonalities across designs and the manner in which they draw upon theory, as well as tensions in cycles of design and research intended to support problem solving within math and science.
Problem Solving in Coordinated Embodied Activity: Emergent Goals and Solutions - Megan Alyse Humburg, Indiana University - Bloomington; Joshua Adam Danish, Indiana University; Noel D. Enyedy, University of California - Los Angeles; Asmalina Saleh, Indiana University
Designing to Support Data Visualization as an Exploratory Tool in Science - Michelle Hoda Wilkerson, University of California - Berkeley; Vasiliki Laina, University of California - Berkeley
Looking at Versus Looking Through: Designing for Problem Solving and Conceptual Understanding - Melissa Sommefeld Gresalfi, Vanderbilt University; Isaac Thomas Nichols, Vanderbilt University - Peabody College; Panchompoo Wisittanawat, Vanderbilt University
Designing and Investigating Dialogue-Intensive Online Math Videos - Joanne Lobato, San Diego State University; Carren Senn Walker, San Diego State University; C. David Walters, San Diego State University