Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
7
10.18260/1-2--41985
https://peer.asee.org/41985
385
Jacqueline is an Assistant Professor and founding faculty at Campbell University School of Engineering. As part of her role, she teaches many of the chemical engineering courses for students in the middle years.
Dr. Michele Miller has been the Associate Dean of Engineering at Campbell University since 2017. She earned a BS degree at Duke University and MS and PhD degrees at NC State University. She was a professor of mechanical engineering at Michigan Tech 1994-2016. She has done research in precision manufacturing, micro-electromechanical systems, and engineering education. She currently teaches classes on mechanics, machine design, and manufacturing.
In Fall 2018 our small liberal arts university with a new engineering program was awarded an NSF S-STEM grant. Now with three cohorts admitted to the program, we present the retention data of students that have participated in the program versus a comparable control data set from the School of Engineering. The students under study range from those currently in their second year of undergraduate engineering to those that have graduated in the past two years. Thus, the data include those students that have both graduated and those that continue to seek a baccalaureate degree. In the analysis, the two comparable data sets are broken into demographics for comparison where appropriate, including race, ethnicity, GPA, starting university math course, and gender. We investigate the degree to which elements of the S-STEM program (faculty and peer mentoring, career services, and professional development trainings) yield higher retention data for the S-STEM group. With the analysis, we explore whether any of these demographic factors moderate the relationship between program participation and retention.
Gartner, J., & Miller, M., & Rynearson, A. (2022, August), Retention of student participants in an S-STEM funded program versus comparable students in engineering Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41985
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