Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
NSF Grantees Poster Session
9
10.18260/1-2--43112
https://peer.asee.org/43112
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Susan Lord is Professor and Chair of Integrated Engineering at the University of San Diego. She received a BS from Cornell University in Materials Science and Electrical Engineering (EE) and MS and PhD in EE from Stanford University. Her research focuses on the study and promotion of equity in engineering including student pathways and inclusive teaching. She has won best paper awards from the Journal of Engineering Education, IEEE Transactions on Education, and Education Sciences. Dr. Lord is a Fellow of the IEEE and ASEE and received the 2018 IEEE Undergraduate Teaching Award. She is a coauthor of The Borderlands of Education: Latinas in Engineering. She is a co-Director of the National Effective Teaching Institute (NETI).
Matthew W. Ohland is the Dale and Suzi Gallagher Professor and Associate Head of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students and forming and managing teams has been supported by the National Science Foundation and the Sloan Foundation and his team received for the best paper published in the Journal of Engineering Education in 2008, 2011, and 2019 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.
Richard A. Layton is Professor Emeritus of Mechanical Engineering at Rose-Hulman Institute of Technology. He received a B.S. from California State University, Northridge, and an M.S. and Ph.D. from the University of Washington. With Matthew Ohland, Layton is a co-founding developer of the CATME Smarter Teamwork system and the midfieldr R package for working with student unit records. He is a co-author of the Engineering Communications Manual, Oxford Univ. Press, 2017. He currently consults as a data visualization specialist using R.
Marisa K. Orr is an Associate Professor in Engineering and Science Education with a joint appointment in the Department of Mechanical Engineering at Clemson University.
Russell Long, M.Ed. was the Director of Project Assessment at the Purdue University School of Engineering Education (retired) and is Managing Director of The Multiple-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD).
Catherine E. Brawner is President of Research Triangle Educational Consultants. She received her Ph.D.in Educational Research and Policy Analysis from NC State University in 1996. She also has an MBA from Indiana University (Bloomington) and a bachelor’
Joseph Roy has over 15 years of data science and higher education expertise. He currently directs three national annual data collections at the ASEE of colleges of engineering and engineering technology that gather detailed enrollment, degrees awarded, research expenditures, faculty headcounts, faculty salary and retention data for the engineering community. He is PI of a NSF Advanced Technological Education funded grant to build a national data collection for engineering-oriented technician degree and certificate programs at 2-year institutions. Prior to joining the ASEE, he was the senior researcher at the American Association of University Professor and directed their national Faculty Salary Survey. He also developed a technical curriculum to train analysts for a national survey of languages in Ecuador while he was at the University of Illinois as a linguistic data analytics manager and member of their graduate faculty. He has a B.S. in Computer Science & Mathematics, a M.S. in Statistics from the University of Texas at San Antonio and a Ph.D. in Linguistics from the University of Ottawa.
A substantial investment by the National Science Foundation (NSF), including awards from Engineering Education and Centers in the Engineering Directorate and the Division of Undergraduate Education in the Education and Human Resources Directorate, has led to the creation and study of the Multiple Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD). This large database of student records has yielded groundbreaking research on student pathways by a small interdisciplinary team of researchers. The team has shown that while individual engineering programs may have poor graduation rates, a multi-institutional view reveals that engineering programs as a whole graduate a larger fraction of students than other groups of disciplines. The team has also shown that women and men have similar graduation rates in engineering, likely a result of efforts to make engineering education a welcoming environment for women and the high academic credentials of the women who do study engineering. As with the overall graduation rate, individual institutions and programs can and do have outcomes that depart from this aggregate perspective. A comprehensive study of student pathways in various engineering disciplines provided practitioners with rich information specific to their disciplinary context. The team has also designed a variety of metrics that have provided researchers and practitioners with an improved understanding of student pathways. The quality of the data source and the research team is attested by these substantial findings, multiple best paper awards, and other recognitions.
This paper provides updates on transitioning MIDFIELD to the American Society for Engineering Education (ASEE), documentation of institutional policies, and supporting a growing community of researchers in using the database including the second offering of the MIDFIELD Institute.
This work is supported by the NSF Division of Engineering Education and Centers.
Lord, S. M., & Ohland, M. W., & Layton, R. A., & Orr, M. K., & Long, R. A., & Brawner, C. E., & Roy, J. (2023, June), Board 394: Sustaining and Scaling the Impact of the MIDFIELD project at the American Society for Engineering Education (Year 1) Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43112
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