There are significant disparities between the conferring of science, technology, engineering, and mathematics (STEM) bachelor’s degrees to minoritized groups and the number of STEM faculty that represent minoritized groups at four-year predominantly White institutions (PWIs). Studies show that as of 2019, African American faculty at PWIs have increased by only 2.3% in the last 20 years. This study explores the ways in which this imbalance affects minoritized students in engineering majors. Our research objective is to describe the ways in which African American students navigate their way to success in an engineering program at a PWI where the minoritized faculty representation is less than 10%. In this study, we define success as completion of an undergraduate degree and matriculation into a Ph.D. program. Research shows that African American students struggle with feeling like the “outsider within” in graduate programs and that the engineering culture can permeate from undergraduate to graduate programs. We address our research objective by conducting interviews using navigational capital as our theoretical framework, which can be defined as resilience, academic invulnerability, and skills. These three concepts come together to denote the journey of an individual as they achieve success in an environment not created with them inmore »
Prediction of Engineering Identity in Engineering Graduate Students
Contribution: This study shows that identification with engineering for engineering graduate students is positively and significantly predicted by engineering interest, competence, recognition, and interpersonal skills competence.
Background: Prior studies of engineering identity on undergraduates identified several factors (e.g., engineering interest, engineering recognition) as positive predictors of identification of engineering. Engineering competence, achieved by participating in design projects, is a crucial part of students’ efforts to become more innovative engineers. Identity theory is used to understand undergraduates’ persistence in engineering, as students with stronger engineering identification are more likely to persist. More work is needed focusing on graduate students.
Research Questions: Do engineering identity measurement frameworks studied for undergraduate students also apply to graduate students? Do they correlate with intention to complete the degree? What predicts the engineering identity of engineering Master's and doctoral students?
Methodology: Interviews informed development and adaptation of a multi-scale survey instrument. Factor analyses identified four factors that relate to graduate engineering identity: engineering interest, engineering recognition, engineering competence, and interpersonal skills competence. Three sequential multiple linear regression models were used to predict engineering graduate students’ engineering identity.
Findings: The final regression model, which includes student characteristics and the four factors resulting from Confirmatory Factor Analysis, predicts more »
- Award ID(s):
- 1636449
- Publication Date:
- NSF-PAR ID:
- 10100965
- Journal Name:
- IEEE Transactions on Education
- Page Range or eLocation-ID:
- 1 to 7
- ISSN:
- 0018-9359
- Sponsoring Org:
- National Science Foundation
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