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Inequity in graduate engineering identity: Disciplinary differences and opportunity structures
Author(s) -
Bahnson Matthew,
Perkins Heather,
Tsugawa Marissa,
Satterfield Derrick,
Parker Mackenzie,
Cass Cheryl,
Kirn Adam
Publication year - 2021
Publication title -
journal of engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.896
H-Index - 108
eISSN - 2168-9830
pISSN - 1069-4730
DOI - 10.1002/jee.20427
Subject(s) - ethnic group , discipline , identity (music) , engineering education , construct (python library) , race (biology) , graduate students , variation (astronomy) , psychology , mathematics education , medical education , engineering , pedagogy , sociology , gender studies , computer science , medicine , social science , engineering management , physics , anthropology , acoustics , astrophysics , programming language
Background The retention of traditionally underserved students remains a pressing problem across graduate engineering programs. Disciplinary differences in graduate engineering identity provide a lens to investigate students' experiences and can pinpoint potential opportunity structures that support or hinder progress based on social and personal identities. Purpose This study investigates the impact of discipline, gender, race/ethnicity, advisor relationship, and years in a program on graduate engineering identity variability. Methods Cross‐sectional survey data from a national sample of doctoral engineering students were analyzed with multilevel modeling. Multilevel modeling measured the differences at the individual and discipline levels for graduate engineering identity and the domains of engineer, researcher, and scientist. Independent variables included were gender, advisor relationship score, race/ethnicity, and years in a program. Results The engineer identity sub‐construct of recognition significantly varied among engineering disciplines. Traditionally underserved students (i.e., Women and minoritized racial/ethnic groups) expressed lower engineering recognition levels, with this relationship varying based on discipline. Overall, our model explained 30% of the variation in engineering recognition among disciplines. Conclusions The disciplinary variation in graduate engineering identity combined with the significance of gender and race/ethnicity indicates traditionally underserved students do not experience equivalent opportunity structures compared with their well‐represented peers. Modifying traditional opportunity structures to serve students better may provide the needed changes to engage and retain traditionally underserved populations.