Connected Mechanical Engineering Curriculum through a Fundamental Learning Integration Platform
Author(s) -
Thomas Feldhausen,
Bruce Babin,
Emily Dringenberg
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--28068
Subject(s) - curriculum , computer science , process (computing) , emergent curriculum , active learning (machine learning) , curriculum theory , mathematics education , curriculum mapping , engineering , curriculum development , pedagogy , artificial intelligence , psychology , operating system
Dr. Dringenberg is a teaching assistant professor of general engineering at Kansas State University. She holds a BS in Mechanical Engineering (Kansas State ’08), a MS in Industrial Engineering (Purdue ’14) and a Ph.D. in Engineering Education (Purdue ’15). Her doctoral work focused on using qualitative methods to explore the experiences of students engaging with engineering design problems, and she is currently working to develop research-based introductory curriculum for her students centered on engineering problem solving. Additionally, Dr. Dringenberg’s research interests include transfer of learning, growth mindset, personal epistemology, and design learning.
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