Efficacy of a Metacognitive Writing-to-Learn Exercise in Improving Student Understanding and Performance in an Engineering Statics Course
Author(s) -
Saryn R. Goldberg,
Jennifer A. Rich,
Amy M. Masnick
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.23925
Subject(s) - metacognition , mathematics education , computer science , confusion , statics , class (philosophy) , inclusion (mineral) , engineering education , psychology , pedagogy , cognition , artificial intelligence , engineering , engineering management , physics , classical mechanics , neuroscience , social psychology , psychoanalysis
Dr. Saryn R. Goldberg is an Associate Professor of Mechanical Engineering in Hofstra University’s School of Engineering and Applied Sciences. Dr. Goldberg received her Sc.B. in Engineering with a focus on materials science from Brown University, her M.S. degree in Biomedical Engineering with a focus on biomaterials from Northwestern University, and her Ph.D. in Mechanical Engineering with a focus on biomechanics from Stanford University. At Hofstra she teaches courses in mechanical engineering, materials science and biomechanics. In addition to her research in engineering education, Dr. Goldberg studies the biomechanics of human movement, focusing on gait rehabilitation. She is a member of ASEE, the Society of Women Engineers and the American Society of Biomechanics.
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