This paper examines the immigrant–native achievement gap in science, technology, engineering, and mathematics (STEM) fields in college in the USA. Using student survey data from the Beginning Postsecondary Longitudinal Studies 2004/09, I find that on average immigrant students have significantly higher rates entering and persisting in STEM fields compared to their native counterparts. There is, however, considerable variation across immigrant generations and race and ethnicity. The immigrant attainment advantage is particularly large among first‐generation Asian and white immigrant students who attended foreign K–12 schools. I explore the channels leading to the achievement gap, including socioeconomic status, individual preferences, and academic preparation in math and science. Results suggest that the immigrant STEM advantage is largely due to better academic preparation in math and science in high school. This indicates that improvements in students' college STEM attainment may depend crucially on policy efforts devoted to strengthening the quality of high school math and science education.
Effects of double-dose algebra on college persistence and degree attainment
In 2003, Chicago Public Schools introduced double-dose algebra, requiring two periods of math—one period of algebra and one of algebra support—for incoming ninth graders with eighth-grade math scores below the national median. Using a regression discontinuity design, earlier studies showed promising results from the program: For median-skill students, double-dose algebra improved algebra test scores, pass rates, high school graduation rates, and college enrollment. This study follows the same students 12 y later. Our findings show that, for median-skill students in the 2003 cohort, double-dose significantly increased semesters of college attended and college degree attainment. These results were not replicated for the 2004 cohort. Importantly, the impact of the policy on median-skill students depended largely on how classes were organized. In 2003, the impacts on college persistence and degree attainment were large in schools that strongly adhered to the cut-score-based course assignment, but without grouping median-skill students with lower-skill peers. Few schools implemented the policy in such a way in 2004.
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- Award ID(s):
- 1659935
- NSF-PAR ID:
- 10300976
- Date Published:
- Journal Name:
- Proceedings of the National Academy of Sciences
- Volume:
- 118
- Issue:
- 27
- ISSN:
- 0027-8424
- Page Range / eLocation ID:
- e2019030118
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Background We used an opportunity gap framework to analyze the pathways through which students enter into and depart from science, technology, engineering, and mathematics (STEM) degrees in an R1 higher education institution and to better understand the demographic disparities in STEM degree attainment.
Results We found disparities in 6-year STEM graduation rates on the basis of gender, race/ethnicity, and parental education level. Using mediation analysis, we showed that the gender disparity in STEM degree attainment was explained by disparities in aspiration: a gender disparity in students’ intent to pursue STEM at the beginning of college; women were less likely to graduate with STEM degrees because they were less likely to intend to pursue STEM degrees. However, disparities in STEM degree attainment across race/ethnicities and parental education level were largely explained by disparities in attrition: persons excluded because of their ethnicity or race (PEERs) and first generation students were less likely to graduate with STEM degrees due to fewer academic opportunities provided prior to college (estimated using college entrance exams scores) and more academic challenges during college as captured by first year GPAs.
Conclusions Our results reinforce the idea that patterns of departure from STEM pathways differ among marginalized groups. To promote and retain students in STEM, it is critical that we understand these differing patterns and consider structural efforts to support students at different stages in their education.
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Wright College, an open-access community college in northwest Chicago, is an independently accredited institution in the City Colleges of Chicago (CCC) system. Wright is federally recognized Hispanic-Serving Institution (HSI) with the largest enrollment of Hispanic students in Illinois. In 2015 Wright piloted a selective guaranteed admission program to the Grainer College of Engineering at the University of Illinois at Urbana-Champaign (UIUC). Students in the Engineering Pathways (EP) program follow a cohort system with rigorous curriculum aligned to UIUC. From this pilot Wright built programmatic frameworks (one-stop intentional advising; mandatory tutoring, near-peer, faculty and professional mentoring; and access to professional organizations) to support EP students. Initial results were positive: 89% transfer rate and 89% bachelor’s degree completion. Building from the EP frameworks, Wright obtained a National Science Foundation (NSF) HSI research grant to expand programs to non-pathway students. Through the grant, Building Bridges into Engineering and Computer Science, the college developed assessment tools, increased the number of 4-year partnerships, and designed and implemented an Engineering Summer Bridge with curriculum contextualized for the needs of the Near-STEM ready students. These students need one to four semesters of Math remediation before moving into the EP. The college measured the Bridge participants' success through analysis of Math proficiency before and after the Bridge, professional identity (sense of belonging) and self-efficacy (the belief that the students will succeed as engineers). Surveys and case study interviews are being supplemented with retention, persistence, transfer, associate and bachelor degree completion rates, and time for degree completion. The key research question is the correlation of these data with self-efficacy and professional identity measures. Preliminary Results: 1) Sixty percent (60%) of the Bridge participants eliminated the remedial Math requirement completely. (Increased Math proficiency) 2) Engineering admission and enrollment doubled. 4) Increased institutionalized collaborations: the creation of a more programmatic admission, advising, transfer, rigorous curriculum, and other student support services within the College. 5) Increased partnerships with 4-year transfer institutions resulting in the expansion of guaranteed/dual admissions programs with scholarships, paid research experience, dual advising, and students transferring as juniors. 5) Increased diversity in Engineering and Computer Science student population. Wright will share an overview of the Building Bridges into Engineering and Computer Science project, research design, expanded practices, assessments and insights from the development and implementation of this program. The developed frameworks will be applied to provide ALL students at Wright, and at CCC equitable Engineering and Computer Science education.more » « less
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Abstract Objective: To examine the effect of food insecurity during college on graduation and degree attainment. Design: Secondary analysis of longitudinal panel data. We measured food insecurity concurrent with college enrollment using the 18-question USDA Household Food Security Survey Module. Educational attainment was measured in 2015-2017 via two questions about college completion and highest degree attained. Logistic and multinomial-logit models adjusted for sociodemographic characteristics were estimated. Setting: United States (US) Participants: A nationally representative, balanced panel of 1,574 college students in the US in 1999-2003 with follow-up through 2015-2017 from the Panel Study of Income Dynamics. Results: In 1999-2003, 14.5% of college students were food insecure and were more likely to be older, non-White, and first-generation students. In adjusted models, food insecurity was associated with lower odds of college graduation (OR 0.57, 95% CI: 0.37, 0.88, p=0.01) and lower likelihood of obtaining a Bachelor’s degree (RRR 0.57 95% CI: 0.35, 0.92, p=0.02) or graduate/professional degree (RRR 0.39, 95% CI: 0.17, 0.86, p=0.022). These associations were more pronounced among first-generation students. 47.2% of first-generation students who experienced food insecurity graduated from college; food insecure first-generation students were less likely to graduate compared to first-generation students who were food secure (47.2% vs. 59.3%, p=0.020) and non-first-generation students who were food insecure (47.2% vs. 65.2%, p=0.037). Conclusions: Food insecurity during college is a barrier to graduation and higher degree attainment, particularly for first-generation students. Existing policies and programs that help mitigate food insecurity should be expanded and more accessible to the college student population.more » « less
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First-generation (FG) and/or low-income (LI) engineering student populations are of particular interest in engineering education. However, these populations are not defined in a consistent manner across the literature or amongst stakeholders. The intersectional identities of these groups have also not been fully explored in most quantitative-based engineering education research. This research paper aims to answer the following three research questions: (RQ1) How do students’ demographic characteristics and college experiences differ depending on levels of parent educational attainment (which forms the basis of first-generation definitions) and family income? (RQ2) How do ‘first-generation’ and ‘low-income’ definitions impact results comparing to their continuing-generation and higher-income peers? (RQ3) How does considering first-generation and low-income identities through an intersectional lens deepen insight into the experiences of first-generation and low-income groups? Data were drawn from a nationally representative survey of engineering juniors and seniors (n = 6197 from 27 U.S. institutions). Statistical analyses were conducted to evaluate respondent differences in demographics (underrepresented racial/ethnic minority (URM), women, URM women), college experiences (internships/co-ops, having a job, conducting research, and study abroad), and engineering task self-efficacy (ETSE), based on various definitions of ‘first generation’ and ‘low income’ depending on levels of parental educational attainment and self-reported family income. Our results indicate that categorizing a first-generation student as someone whose parents have less than an associate’s degree versus less than a bachelor’s degree may lead to different understandings of their experiences (RQ1). For example, the proportion of URM students is higher among those whose parents have less than an associate’s degree than among their “associate’s degree or more” peers (26% vs 11.9%). However, differences in college experiences are most pronounced among students whose parents have less than a bachelor’s degree compared with their “bachelor’s degree or more” peers: having a job to help pay for college (55.4% vs 47.3%), research with faculty (22.7% vs 35.0%), and study abroad (9.0% vs 17.3%). With respect to differences by income levels, respondents are statistically different across income groups, with fewer URM students as family income level increases. As family income level increases, there are more women in aggregate, but fewer URM women. College experiences are different for the middle income or higher group (internship 48.4% low and lower-middle income vs 59.0% middle income or higher; study abroad 11.2% vs 16.4%; job 58.6% vs 46.8%). Despite these differences in demographic characteristics and college experiences depending on parental educational attainment and family income, our dataset indicates that the definition does not change the statistical significance when comparing between first-generation students and students who were continuing-generation by any definition (RQ2). First-generation and low-income statuses are often used as proxies for one another, and in this dataset, are highly correlated. However, there are unique patterns at the intersection of these two identities. For the purpose of our RQ3 analysis, we define ‘first-generation’ as students whose parents earned less than a bachelor’s degree and ‘low-income’ as low or lower-middle income. In this sample, 68 percent of students were neither FG nor LI while 11 percent were both (FG&LI). On no measure of demographics or college experience is the FG&LI group statistically similar to the advantaged group. Low-income students had the highest participation in working to pay for college, regardless of parental education, while first-generation students had the lower internship participation than low-income students. Furthermore, being FG&LI is associated with lower ETSE compared with all other groups. These results suggest that care is required when applying the labels “first-generation” and/or “low-income” when considering these groups in developing institutional support programs, in engineering education research, and in educational policy. Moreover, by considering first-generation and low-income students with an intersectional lens, we gain deeper insight into engineering student populations that may reveal potential opportunities and barriers to educational resources and experiences that are an important part of preparation for an engineering career.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1073/pnas.2019030118
