Identity, Critical Agency, and Engineering: An Affective Model for Predicting Engineering as a Career Choice
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Background: Prior to college, many students have no experience with engineering, but some ultimately choose an engineering career. Women choose engineering at lower rates than men. This article uses critical engineering agency (CEA) to understand first‐year students' attitudes and self‐beliefs to predict the choice of an engineering career. Purpose/Hypothesis: We investigated how first‐year students' math and physics identities and students' beliefs about the ability of science to improve the world predict choice of engineering as a career and whether these beliefs differ by gender. Design/Method: The data were from the Sustainability and Gender in Engineering survey distributed during fall 2011 ( N = 6,772). Structural equation modeling was used to understand first‐year students' affective beliefs for predicting engineering career choice. Results: Math and physics identities are important for predicting engineering choice at the beginning of college. Recognition from others and interest in a subject are positive predictors of physics and math identities. Students' performance/competence beliefs alone are negative predictors of engineering career choice but are mediated by interest and recognition from others. Student identities and agency beliefs are significant predictors of engineering career choice, explaining 20% of the variance. We also found gender differences in students' math and physics identities and agency beliefs. Conclusions: This article emphasizes the importance of students' recognition beliefs and the importance of agency beliefs for women in predicting engineering career choice.
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In a study of engineering choice, recognition was found to be the most important construct of identity in predicting a choice of a career in engineering.
“in a study aimed at understanding the impact of physics and mathematics identities on engineering choice, recognition was found to be the most important construct of identity in predicting a choice of a career in engineering (Godwin, Potvin, Hazari, and Lock 2016).”
From Science identity as a landscape of becoming: rethinking recognition and emotions through an intersectionality lens (2020) · cites this paper as Godwin, Potvin, Hazari, and Lock 2016
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- Godwin, A., Potvin, G., Hazari, Z., & Lock, R.
- Affiliations
- Purdue University West Lafayette (US)
- Florida International University (US)
- East Texas A&M University (US)
- Venue
- Journal of Engineering Education
- Publisher
- Wiley
- Published
- 2016-04
- Volume
- 105
- Issue
- 2
- Pages
- 312-340
- ISSN
- 1069-4730 (ISSN-L)
- 2168-9830
- OpenAlex
- W2342731957
- Cited by
- 574
- References
- 114
- Citations by year
- 2026: 48 · 2025: 49 · 2024: 110 · 2023: 42 · 2022: 52 · 2021: 61 · 2020: 96 · 2019: 66 · 2018: 35 · 2017: 10 · 2016: 4
- FWCI
- 93.51
- Type
- journal article
- Language
- en
- Open access
- green
- docs.lib.purdue.edu
- Locations
- Journal of Engineering Education (publishedVersion)
- Purdue e-Pubs (Purdue University System) (submittedVersion)
- Funders
- U.S. National Science Foundation (1036617)
- Topics
- Social Sciences › Safety Research › Career Development and Diversity
- Social Sciences › Psychology › Developmental and Educational Psychology › Science Education and Perceptions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Keywords
- engineering career choice, math identity, physics identity, gender differences, first-year students, affective beliefs, competence beliefs, women in engineering, self-belief
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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