Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
17
10.18260/1-2--41616
https://peer.asee.org/41616
421
Shaundra B. Daily is a professor of practice in Electrical and Computer Engineering & Computer Science at Duke University. Her research involves the design, implementation, and evaluation of technologies, programs, and curricula to promote justice, equity, diversity, and inclusion in STEM fields. She is currently Co-PI of the Alliance for Identity-Inclusive Computing, Education and Workforce Director for the Athena AI Institute, and Faculty Director of the Duke Technology Scholars Program. Prior to joining Duke, she was an associate professor at the University of Florida in the Department of Computer & Information Science & Engineering. Having garnered over $40M in funding from public and private sources to support her collaborative research activities, Daily’s work has been featured in USA Today, Forbes, National Public Radio, the Chicago Tribune, and recognized by Governor Roy Cooper of North Carolina. Daily earned her B.S. and M.S. in Electrical Engineering from the Florida Agricultural and Mechanical University – Florida State University College of Engineering, and a S.M. and Ph.D. from the MIT Media Lab.
Christin D. Shelton, Ph.D., received her Bachelor’s degree (2004) from Talladega College and both her Masters (2007) and Ph.D. (2012) from Auburn University in Computer Science and Software Engineering. Her research falls in the areas of Human-Robot Interaction and Language Processing and involves creating a grammatical structure to enable robots to appropriately interact with and manipulate objects in the real world. She has held a number of positions in the
government and has years of experience in software design, database administration, and mobile application development. Christin also makes time to coordinate various academic and extracurricular programs, led project groups, and held positions on numerous boards throughout her education to the present.
Andy is a third-year Electrical and Computer Engineering and Computer Science double major at Duke University. My academic interests include diversity in technology, software engineering, and machine learning.
Wanda Eugene, Ph.D. is constantly seeking out new ways to leverage technology to engage underserved communities. As a principal at DEEP Designs LLC, she specializes in cultivating technology with vulnerable populations and integrates the strategic direction of the organization. As the Executive Director of Collaboratory for Inclusive Entrepreneurship at UF Innovate, she launched Entrepreneur Diversity in Information Technology (EDIT), a free pre-incubator program that works with underserved minorities to launch tech-based businesses. Dr. Eugene holds a Ph.D. in Computer Science, a Master’s in Industrial Engineering and a Master’s in Interdisciplinary Studies specializing in Instructional Technology and African American Studies and a Bachelor’s in Electrical Engineering.
A review of the literature in broadening participation research in computing and in STEM more broadly reveals that, while substantial research is being conducted focused on students of color and women in computing, there has been little regard for the unique intersection of gender and race experienced by minoritized women (i.e., Black, Latina, Indigenous, Asian). What is needed is a more complex understanding of the experiences of marginalized groups in computing who live at various intersections of racism, sexism, classism, xenophobia, heterosexism, ableism, etc., an area of research called Intersectional Computing. To begin developing a deeper understanding of the factors impacting women of color in computing, the authors decided to first identify which universities are performing well. To this end, an analysis of graduation rates for students at four-year institutions between 2011 and 2018. These data were gathered from the National Center for Education Statistics Integrated Postsecondary Education Data System. A logistic regression analysis was conducted to understand the potential influence of various institutional factors. As a whole, the data suggest that minority-serving institutions (MSIs) outperform non-MSIs in awarding computing degrees to women of color; for women of color as a whole, all MSI designations (except Tribal Colleges and Universities, for which only two institutions have this designation) are associated with higher odds of producing a computing degree. For specific racial/ethnic breakdowns, some MSI designations may have higher odds of awarding a computing degree than others. Moreover, some MSI designations may be associated with lower odds of producing a computing degree to specific groups of women. This paper provides a brief discussion of the particular challenges faced by women of color in computing, details the characteristics of universities with top graduation rates, and discusses what might be learned from these institutions.
Daily, S., & Shelton, C., & He, A., & Eugene, W., & Orozco, T., & Thomas, J. (2022, August), Graduating in the Margins: An Analysis of Graduations Rates of Minoritized Women in Computing Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41616
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