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A First Take on an Individual Data Generation Assignment for Open-ended Mathematical Modeling Problems
Author(s) -
Heidi DiefesDux,
Monica Cardella
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--20805
Subject(s) - perspective (graphical) , variety (cybernetics) , context (archaeology) , computer science , situated , engineering education , suspect , management science , artificial intelligence , engineering , psychology , engineering management , paleontology , criminology , biology
Heidi A. 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. She is a member of Purdue’s Teaching Academy. Since 1999, she has been a faculty member within the First-year Engineering program at Purdue, the gateway for all first-year students entering the College of Engineering. She has coordinated and taught in a required first-year engineering course that engages students in open-ended problem-solving and design. Her research focuses on the development, implementation, and assessment of model-eliciting activities with realistic engineering contexts. She is currently the Director of Teacher Professional Development for the Institute for P-12 Engineering Research and Learning (INSPIRE).

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