Vancouver, BC
June 26, 2011
June 26, 2011
June 29, 2011
2153-5965
ABET Accreditation, Assessment, and Program Improvement in ECE
Electrical and Computer
10
22.1293.1 - 22.1293.10
10.18260/1-2--18534
https://peer.asee.org/18534
469
Dr. Kelnhofer is Program Director of Electrical Engineering Technology and Assistant Professor at Milwaukee School of Engineering (MSOE). Formerly, he held engineering and managerial positions in the telecommunications industry. He received his Ph.D. in Electrical Engineering from Marquette University in 1997 and is a Professional Engineer registered in the State of Wisconsin. Dr. Kelnhofer teaches courses in communication systems, signal processing, and information and coding theory.
Dr. Stephen Williams is Program Director of Electrical Engineering and Professor of Electrical Engineering and Computer Science at the Milwaukee School of Engineering (MSOE). He has 25 years of experience across corporate, government, and university sectors. He is a registered Professional Engineer in Wisconsin. He teaches courses in engineering design, embedded systems, electronic design, and electromechanics.
Dr. Petersen is Department Chair and Professor of Electrical Engineering and Computer Science at
Milwaukee School of Engineering (MSOE). He is a former Member of Technical Staff at AT&T Bell Laboratories and received his Ph.D. degree from the University of Pennsylvania in 1971. His technical work ranges over the topics of Optical Data Links, Integrated Circuit Technology, RF semiconductor components, and semiconductor component reliable. He is a Senior Member of the IEEE and an ABET EAC program evaluator in Electrical Engineering.
Simple Analysis Method for Assessment of PEOs Using Limited Survey DataAlumni and employer surveys are among the assessment tools often used to determine the extent to whicha program’s graduates are able to successfully pursue the types of careers envisioned in the programeducational objectives (PEOs). A major problem with surveys is the very low response rate. However,while the number of responses to the individual surveys in a given year results in limited statisticalsignificance, it is a case whereby the data as a whole, especially interpreted and reinforced by knowledgegained from a variety of other sources, paints a reasonably consistent and coherent picture.In this paper, a simple analysis method is described that is based on tools often used in market research.Specifically, every question on the alumni survey is considered as an opportunity to measure success orfailure of the alumni’s perceived obtainment of the PEO. This type of analysis is called “top-box” and“bottom-box” analysis and is often used for reporting customer satisfaction survey data. Finally, the datais accumulated in a manner often done in trying to predict reliability for complex systems when only alimited number of systems are built. Specifically, we utilize a 5-year moving window and aggregate thedata.
Kelnhofer, R. W., & Williams, S. M., & Petersen, O. G. (2011, June), Simple Analysis Method for Assessment of PEOs Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--18534
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