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Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields
Open accessAbstract
The United States has made a significant effort and investment in STEM education, yet the size and the composition of the STEM workforce continues to fail to meet demand. It is thus important to understand the barriers and factors that influence individual educational and career choices. In this article, we conduct a literature review of the current knowledge surrounding individual and gender differences in STEM educational and career choices, using expectancy-value theory as a guiding framework. The overarching goal of this paper is to provide both a well-defined theoretical framework and complementary empirical evidence for linking specific sociocultural, contextual, biological, and psychological factors to individual and gender differences in STEM interests and choices. Knowledge gained through this review will eventually guide future research and interventions designed to enhance individual motivation and capacity to pursue STEM careers, particularly for females who are interested in STEM but may be constrained by misinformation or stereotypes.
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“Prior research supports that primary students in these grades are particularly receptive to hands-on, project-based learning, which can significantly influence their self-beliefs in science, technology, and design (Wang & Degol, 2013).”
From Fostering students’ motivation and self-efficacy in science, technology, engineering, and design through design thinking and making in project-based learning: a gender-perspective study in primary education (2025) · cites this paper as Wang & Degol, 2013
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Metadata
- Authors
- Wang, M.-T., & Degol, J.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Wang, Ming-Te
- Venue
- Developmental Review
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 33
- Issue
- 4
- Pages
- 304-340
- ISSN
- 0273-2297 (ISSN-L)
- PMC
- PMC3843492
- OpenAlex
- W1971294185
- Semantic Scholar
- 58a86789a21fce2b4032b86f088a2479f7bd2760
- Cited by
- 837
- References
- 396
- Citations by year
- 2026: 73 · 2025: 75 · 2024: 91 · 2023: 79 · 2022: 98 · 2021: 72 · 2020: 104 · 2019: 81 · 2018: 53 · 2017: 41 · 2016: 37 · 2015: 21 · 2014: 9
- FWCI
- 58.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Developmental Review (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R03HD074731)
- Topics
- Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Developmental and Educational Psychology › Science Education and Perceptions
- Keywords
- STEM career choice, gender differences, expectancy-value theory, motivation, STEM workforce, gender stereotypes, women in STEM, educational choice, sociocultural factors, biological factors, psychological factors
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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