Asee peer logo

Retention of Female Minority Students in Bachelor STEM Degree Programs: An Exploratory Study of Five Cohorts

Download Paper |

Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Women in Engineering Division (WIED) Technical Session 5

Tagged Division

Women in Engineering Division (WIED)

Tagged Topic

Diversity

Page Count

13

DOI

10.18260/1-2--44129

Permanent URL

https://peer.asee.org/44129

Download Count

121

Paper Authors

biography

Elizabeth Milonas New York City College of Technology Orcid 16x16 orcid.org/0000-0001-7153-4729

visit author page

Elizabeth Milonas is an Assistant Professor with the Department of Computer Systems at New York City College of Technology -City University of New York (CUNY). She currently teaches relational and non-relational database theory and practice and Data Science courses to undergraduates in the Computer Systems Major. Her research focuses on four key computer areas: Web: research on the mechanisms used to organize big data in search result pages of major search engines, Ethics: techniques for incorporating ethics in computer curriculum specifically in data science curriculum Programs/curricula: evaluating Data Science programs in the US and China and Retention: evaluating minority female retention in computer related degree programs.

visit author page

Download Paper |

Abstract

Minority female students are under-represented in computer-related fields such as computer science, information systems, and computer engineering. Yet, minority female students are also under-represented in computer-related degree programs (Botella et al. 2019). This group of students faces unique challenges that can discourage them from continuing with a computer-related degree (Varma 2003). These challenges include a lack of writing and degree readiness skills such as mathematical and computational thinking skills (Varma 2003). Minority female students are also faced with economic challenges and family commitments which can hinder or discourage them from continuing in a degree program (Varma 2003). In addition, minority females lack female role models in academics and industry. They are influenced by the stereotypical belief that white males dominate the computer field and that certain groups do not belong in the computer field (Asai 2020). These prejudices and stereotypes can be reinforced in the home, and as a result, many minority females are not encouraged or supported to pursue or to continue in computer-related degree programs (Botella et al. 2019). The effects of these challenges are seen in the Computer Systems Technology Bachelor Degree Program of a major technical college in New York City. In this program, minority females make up a very small percentage of the overall students. In addition, compared to the white male students and the non-minority female students in the same program, the minority female students are far more likely to leave the program without graduating.

This study aims to analyze retention data for minority female students (Hispanic, African American, Native American, Pacific Islander) in the Computer Systems Technology Bachelor Degree Program of a major technical college in New York City. The data gathered is from five consecutive cohort years (2014-2018) and is compared and contrasted to retention data for male and non-minority female students in the same degree program and the same five consecutive cohort years. Study findings emphasize the breadth and width of the retention narrative for these minority female students. The study, the first in a series of studies, identifies a roadmap for retention improvement and an implementation plan for supportive actions to increase retention of minority female students in the Computer Systems Technology Bachelor Degree Program.

Milonas, E. (2023, June), Retention of Female Minority Students in Bachelor STEM Degree Programs: An Exploratory Study of Five Cohorts Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--44129

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2023 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015