New Orleans, Louisiana
June 26, 2016
June 26, 2016
June 29, 2016
978-0-692-68565-5
2153-5965
Educational Research and Methods
11
10.18260/p.26461
https://peer.asee.org/26461
1116
Martin P. Jones is an Associate Professor of Technology and Construction Management at Missouri State University. He earned his B.S. degree (Physics, 1981) from University of Maryland Baltimore County, M.S. (Materials Science & Engineering, 1984) from the Johns Hopkins University, and Ph. D. (Materials Science & Engineering, 1987) from the Johns Hopkins University. Dr. Jones is currently teaching at Missouri State University. His interests are in scanner technology, nondestructive evaluation, manufacturing processes, and quality assurance.
KEVIN M. HUBBARD is an Assistant Professor of Technology and Construction Management at Missouri State University. He earned his B.S. degree (Aerospace Engineering, 1991) from University of Missouri – Rolla, M.S. (Engineering Management, 1993) from University of Missouri – Rolla, and Ph.D. from University of Missouri – Rolla (Engineering Management, 1996). Dr. Hubbard is currently teaching at Missouri State University. His interests are in automation and device control, manufacturing systems, device design, and process optimization. Dr. Hubbard may be reached at KHubbard@MissouriState.edu
Curriculum revision and new program design efforts are typically started partly as a result of constituent input, such as that from industrial advisory boards, potential employers of graduates, recent employers of graduates, and alumni. This process is often performed on an ad-hoc basis with various constituents who express conflicting opinions. This study offers a more formalized approach to the decision making process applied to curriculum revision by using a weighted factor index method to remove much of the subjectivity. A new industrial engineering program has been developed four years ago with flexible, relevant, and practical curriculum. The proposed method is now used compare the curriculum decisions to reevaluate the curriculum. A sensitivity analysis is performed on the decision making process to determine the extent to which changes in weight assignment affect the final conclusion. It is found that by using this methodology, subjectivity may be minimized and rational decisions may be made during the conflict resolution phase of curriculum design or redesign.
Buyurgan, N., & Jones, M. P., & Hubbard, K. M. (2016, June), A Systematic Weighted Factor Approach for Curriculum Design Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26461
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