Icon for: Meseret Hailu


Ohio State University

Why We Persist: An Intersectional Study to Characterize and Examine the Exper...

NSF Awards: 1712618

2019 (see original presentation & discussion)

Adult learners

This paper focuses on the data and findings from a study titled, "Why We Persist: An Intersectional Study to Characterize and Examine the Experiences of Women Tenure-Track Faculty in Engineering." In this presentation, the authors will focus on qualitative findings. The participants in this study include 53 tenured/tenure-track women faculty (including White women, who were included as a comparison group) in engineering departments in university across the nation. Interviewees were typically at the rank of Assistant Professor (n=14), Associate Professor (n=9), and upper level administrators, including department head, assistant provost, and vice president for research. The sample included primarily women who identified as Black (n=16), Asian (n=13), or Latina (n=12). Additionally, the participants represented a wide spectrum of engineering fields, including: biomedical, industrial, chemical, software, and civil. 



In terms of preliminary findings, the authors draw from Thomas, Johnson-Bailey, Phelps, Tran, & Johnson's (2013) conceptual model of "pet to threat" to argue that women of color encounter tremendous challenges in engineering departments, compared to their White and male counterparts. These challenges include isolation, suspicion, and hostility. Cumulatively, these aspects of faculty life make persistence in the academy arduous for women of color. Implications for institutional climate and hiring practices are also discussed.

This video has had approximately 97 visits by 88 visitors from 69 unique locations. It has been played 62 times.
activity map thumbnail Click to See Activity Worldwide
Map reflects activity with this presentation from the 2019 STEM for All Video Showcase: Innovations in STEM Education website, as well as the STEM For All Multiplex website.
Based on periodically updated Google Analytics data. This is intended to show usage trends but may not capture all activity from every visitor.
Public Discussion
  • Post to the Discussion

    If you have an account, please login before contributing. New visitors may post with email verification.

    For visitors, we require email verification before we will post your comment. When you receive the email click on the verification link and your message will be made visible.



    NOTE: Your email will be kept private and will not be shared with any 3rd parties