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Amanda Fry is a doctoral candidate in Art Education at Purdue University. She received her B.S. in Art Education from Indiana State University and her M.A. in Art Education from Purdue University. Her research interests include qualitative research in engineering education and investigating the effects of an instructional model in which academically struggling secondary students mentor elementary students in the creation of artwork as a means of improving their academic performance.
Monica E. Cardella is an Assistant Professor of Engineering Education and is the Co-Director of Assessment Research for the Institute for P-12 Engineering Research and Learning (INSPIRE) at Purdue University. Dr. Cardella earned a B.Sc. in Mathematics from the University of Puget Sound and an M.S. and Ph.D. in Industrial Engineering at the University of Washington. At the University of Washington she worked with the Center for Engineering Learning and Teaching (CELT) and the LIFE Center (Learning in Informal and Formal Environments). She was a CASEE Postdoctoral Engineering Education Researcher at the Center for Design Research at Stanford before beginning her appointment at Purdue. Her research interests include: learning in informal and out-of-school time settings, pre-college engineering education, design thinking, mathematical thinking, and assessment research.
Heidi Diefes-Dux is an Associate Professor in the School of Engineering Education at Purdue University. She received her B.S. and M.S. in Food Science from Cornell University and her Ph.D. in Food Process Engineering from the Department of Agricultural and Biological Engineering at Purdue University. Since 1999, she has been a faculty member in Purdue’s First-Year Engineering Program, the gateway for all first-year students entering the College of Engineering. She is currently the Director of Teacher Professional Development for the Institute for P-12 Engineering Research and Learning (INSPIRE). Her research interests center on implementation and assessment of mathematical modeling problems.
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