New Orleans, Louisiana
June 26, 2016
June 26, 2016
June 29, 2016
978-0-692-68565-5
2153-5965
Industrial Engineering
19
10.18260/p.25931
https://peer.asee.org/25931
428
Dr. Joe Wilck is an Assistant Professor of Operations Research at the United States Air Force Academy. He is a registered Professional Engineer. He is a volunteer leader with the Institute of Industrial Engineers (IIE) and the American Society for Engineering Education (ASEE). He is also an active member of INFORMS, MORS, INCOSE, and TRB. His research is in the areas of applied optimization and engineering education, and he has been funded by the National Science Foundation, the Department of Energy, DARPA, and the North Carolina Department of Transportation; among others. He primarily teaches courses in analytics, operations research, supply chain, and logistics.
Paul J. Kauffmann is Professor Emeritus and past Chair in the Department of Engineering at East Carolina University. His industry career included positions as Plant Manager and Engineering Director. Dr. Kauffmann received a BS degree in Electrical Engineering and MENG in Mechanical
Engineering from Virginia Tech. He received his Ph.D. in Industrial Engineering from Penn State and is a registered Professional Engineer in Virginia and North Carolina.
Paul C. Lynch received his Ph.D., M.S., and B.S. degrees in Industrial Engineering from the Pennsylvania State University. Dr. Lynch is a member of AFS, SME, IIE, and ASEE. Dr. Lynch’s primary research interests are in metal casting, manufacturing systems, and engineering education. Dr. Lynch has been recognized by Alpha Pi Mu, IIE, and the Pennsylvania State University for his scholarship, teaching, and advising. He received the Outstanding Industrial Engineering Faculty Award in 2011, 2013, 2015, and the Penn State Industrial & Manufacturing Engineering Alumni Faculty Appreciation Award in 2013, and the Outstanding Advising Award in the College of Engineering in 2014 for his work in undergraduate education at Penn State. Dr. Lynch worked as a regional production engineer for Universal Forest Products prior to pursuing his graduate degrees. He is currently an Assistant Professor of Industrial Engineering in the School of Engineering at Penn State Erie, The Behrend College.
The research objective of this paper is to evaluate predictors of success for a quality control course for undergraduate engineering majors at East Carolina University. The 37 predictors included demographic data (e.g., age, gender, race, academic major), records of success (e.g., incoming GPA, performance in prerequisite courses, time between prerequisite courses and the quality control course), and additional course indicators (e.g., class time of day, student attendance, performance on Test 1 versus overall). This quality control course is evaluated over a three year period with five offerings (sections) by the same instructor for 127 students. The results indicate that the time between the prerequisite course and the quality control course is not statistically significant to success in the quality control course. However, the student’s prior semester GPA, incoming cumulative GPA, and performance in the prerequisite course are significant to success in the quality control course.
Wilck, J., & Kauffmann, P. J., & Lynch, P. C. (2016, June), Predicting Success in a Quality Control Course: Does Time Since Taking the Prerequisite Course Matter? Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25931
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