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Session Submission Type: Roundtable Session
Design-based researchers will provide varied perspectives and solutions to problems of creating and using valid measures of student learning in iterative and cyclical studies. Presentations range from local classroom studies to international multi-user platforms. In all cases, challenges to scientific claims require careful attention to how measures of student learning are designed and are demonstrated to be reliable and valid – even when traditional criteria for measurement validity do not readily or easily apply. Participants will be invited to engage in timely conversations on how to continue to place design-based research on a sound methodological footing.
A Design Study of a Wireless Interactive Diagnostic System Based on a Mathematics Learning Trajectory - Jere Confrey, North Carolina State University; Drew Corley, North Carolina State University; Alan Maloney, North Carolina State University; Kenny Huy Nguyen, North Carolina State University
Building a Validity Argument for a Measure of Whole Number Problem Solving - Finbarr C. Sloane, National Science Foundation; Brandon Helding, Arizona State University
Choice-Based Assessments - Daniel L. Schwartz, Stanford University
Playing With Theory to Build a Theory of Play - Sasha A. Barab, Arizona State University; Melissa Sommefeld Gresalfi, Vanderbilt University; Adam Ingram-Goble, Arizona State University - Tempe; Anna Arici, Arizona State University
Establishing Principles for Design-Based Psychometric Theory - Anthony E. Kelly, George Mason University; John Y. Baek, National Oceanic and Atmospheric Administration; Brenda Bannan, George Mason University; Patrick Shane Gallagher, Advanced Distributed Learning