Making Merit Work at the Entrance to the Engineering Workforce: Examining Women's Experiences and Variations by Race/Ethnicity

This study utilizes interviews from 22 young female engineers from diverse racial/ethnic backgrounds as they first entered the White and male-dominated engineering labor force with the goal of examining: (1) how these women endorsed a gender-blind frame that characterizes their workplaces as fundamentally meritocratic, and alternatively, (2) how they named gender as relevant or salient to experiences and interactions at work. Drawing on the insights of intersectional scholars to answer the previous questions, the study calls attention to how the invocation of these frames differed for women of color compared to their majority White female peers. Results revealed that most respondents strongly endorsed the idea that engineering workplaces are meritocratic and that their gender is not relevant. However, there is also evidence of racial divergence in the themes expressed. For example, some White women expressed a narrative contradictory to meritocracy, discussing their workplaces as like family, while in contrast, women of color often expressed uncomfortable experiences of standing out. Overall, the results suggest that female engineers' tendency to disavow, either explicitly or implicitly, that discrimination and bias occurs in their workplaces, likely contributes to continued gender and racial inequality; subsequently, programs and interventions to facilitate awareness of inequality are critically needed.

Who is a scientist? The relationship between counter-stereotypical beliefs about scientists and the STEM major intentions of Black and Latinx male and female students

Background

Despite the diverse student population in the USA, the labor force in Science, Technology, Engineering, and Mathematics (STEM) does not reflect this reality. While restrictive messages about who belongs in STEM likely discourage students, particularly female and minoritized students, from entering these fields, extant research on this topic is typically focused on the negative impact of stereotypes regarding math ability, or the existence of stereotypes about the physical appearance of scientists. Instead, this study builds on the limited body of research that captures a more comprehensive picture of students' views of scientists, including not only the type of work that they do but also the things that interest them. Specifically, utilizing a sample of approximately 1000 Black and Latinx adolescents, the study employs an intersectional lens to examine whether the prevalence of counter-stereotypical views of scientists, and the association such views have on subsequent intentions to pursue STEM college majors, varies among students from different gender and racial/ethnic groups (e.g., Black female students, Latinx male students).

Results

While about half of Black and Latinx students reported holding counter-stereotypical beliefs about scientists, this is significantly more common among female students of color, and among Black female students in particular. Results from logistic regression models indicate that, net of control variables, holding counter-stereotypical beliefs about scientists predicts both young men's and women's intentions to major in computer science and engineering, but not intentions to major in either physical science or mathematics. Additionally, among Black and Latinx male students, counter-stereotypical perceptions of scientists are related to a higher likelihood of intending to major in biological sciences.

Conclusions

The results support the use of an intersectional approach to consider how counter-stereotypical beliefs about scientists differ across gender and racial/ethnic groups. Importantly, the results also suggest that among Black and Latinx youth, for both female and male students, holding counter-stereotypical beliefs promotes intentions to enter particular STEM fields in which they are severely underrepresented. Implications of these findings and directions for future research, specifically focusing on minoritized students, which are often left out in this body of literature, are discussed.

Developmental science concepts guide effective support of underrepresented STEM students

Supportive programming is frequently designed to increase the success of underrepresented groups in STEM. In this article, we introduce three guiding concepts from developmental psychology (developmental trajectories, developmentally appropriate practices, and holism) and explain how they relate to effective support of students from underrepresented groups. We provide examples of successful applications of these principles in classes, degree programs, and research experiences. © 2019 International Union of Biochemistry and Molecular Biology, 47(5):506-512, 2019.

Difficulty Orientations, Gender, and Race/Ethnicity: An Intersectional Analysis of Pathways to STEM Degrees

Is there a relationship between mathematics ability beliefs and STEM degrees? Fields such as physics, engineering, mathematics, and computer science (PEMC) are thought to require talent or brilliance. However, the potential effects of difficulty perceptions on students’ participation in STEM have yet to be examined using a gender and race/ethnicity intersectional lens. Using nationally representative U.S. longitudinal data, we measure gender and racial/ethnic variation in secondary students’ orientation towards mathematics difficulty. We observed nuanced relationships between mathematics difficulty orientation, gender, race/ethnicity, and PEMC major and degree outcomes. In secondary school, the gap between boys’ and girls’ mathematics difficulty orientations were wider than gaps between White and non-White students. Mathematics difficulty orientation was positively associated with both declaring majors and earning degrees in PEMC. This relationship varied more strongly based on gender than race/ethnicity. Notably, Black women show higher gains in predicted probability to declare a mathematics-intensive major as compared to all other women, given their mathematics difficulty orientations. This study’s findings show that both gender and racial/ethnic identities may influence the relationship between mathematics difficulty orientation and postsecondary STEM outcomes.

SCCT and Underrepresented Populations in STEM Fields

The authors review research that has used social cognitive career theory as a frame to investigate factors that may explain science, technology, engineering, and mathematics (STEM) choices and work decisions for women and racial–ethnic minorities, as well as barriers to their entry to STEM careers. The research is reviewed by age-groups. Most of this research has focused on factors associated with early choices (e.g., in high school and younger), but more recent work has focused on choices in college and in the workplace, particularly for women. The authors conclude with a critique and call for more research.

The School Counselor and STEM Career Development

There is an increasing concern that the demand for science, technology, engineering, and math (STEM) workers in the United States will exceed the supply. In the United States, very few students, and underrepresented students in particular, are pursuing STEM educational and occupational goals that underscores the need for school counselors to understand how to maximize opportunities for student success in STEM. Understanding the factors that influence students’ academic and career choices early on is necessary in order to provide effective interventions and responsive services that will have a positive impact on students’ future STEM career outcomes. Using social-cognitive career theory as a framework, this article synthesizes pertinent research on student STEM engagement, so that school counselors will be better able to support STEM career development for all students, especially those from historically underrepresented groups. Implications for school counseling practice are discussed.

Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions

Although the gender gap in math course-taking and performance has narrowed in recent decades, females continue to be underrepresented in math-intensive fields of Science, Technology, Engineering, and Mathematics (STEM). Career pathways encompass the ability to pursue a career as well as the motivation to employ that ability. Individual differences in cognitive capacity and motivation are also influenced by broader sociocultural factors. After reviewing research from the fields of psychology, sociology, economics, and education over the past 30 years, we summarize six explanations for US women's underrepresentation in math-intensive STEM fields: (a) cognitive ability, (b) relative cognitive strengths, (c) occupational interests or preferences, (d) lifestyle values or work-family balance preferences, (e) field-specific ability beliefs, and (f) gender-related stereotypes and biases. We then describe the potential biological and sociocultural explanations for observed gender differences on cognitive and motivational factors and demonstrate the developmental period(s) during which each factor becomes most relevant. We then propose evidence-based recommendations for policy and practice to improve STEM diversity and recommendations for future research directions.

Motivational Pathways to STEM Career Choices: Using Expectancy-Value Perspective to Understand Individual and Gender Differences in STEM Fields

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.