A Grand Challenge-based Framework for Contextual Learning in Engineering: Impact on Student Outcomes and Motivation | Zendy

Lisa G. Huettel | Zendy; Michael Gustafson | Zendy; J.C. Nadeau | Zendy; David Schaad | Zendy; Michael M. Barger | Zendy; Lisa LinnenbrinkGarcia | Zendy

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A Grand Challenge-based Framework for Contextual Learning in Engineering: Impact on Student Outcomes and Motivation

Author(s) -

Lisa G. Huettel,

Michael Gustafson,

J.C. Nadeau,

David Schaad,

Michael M. Barger,

Lisa LinnenbrinkGarcia

Publication year - 2015

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/p.23389

Subject(s) - context (archaeology) , multivariate analysis of variance , class (philosophy) , engineering education , mathematics education , multivariate statistics , multivariate analysis , variance (accounting) , psychology , computer science , artificial intelligence , engineering , engineering management , machine learning , paleontology , accounting , business , biology

Dr. Lisa G. Huettel is a professor of the practice in the Department of Electrical and Computer Engineering at Duke University where she also serves as associate chair and Director of Undergraduate Studies for the department. She received a B.S. in Engineering Science from Harvard University and earned her M.S. and Ph.D. in Electrical Engineering from Duke University. Her research interests are focused on engineering education, curriculum and laboratory development, and applications of statistical signal processing.

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