Gender Stereotypes Influence Children’s STEM Motivation

The Impact of Math-Gender Stereotypes on Students' Academic Performance: Evidence from China

This study investigates the impact of math-gender stereotypes on students' academic performance using data from the China Education Panel Survey (CEPS), which surveyed nationally representative middle schools in China. Our sample comprises over 2000 seventh-grade students, with an average age of 13 and a standard deviation of 0.711. Among these students, 52.4% are male, and 47.6% are female. Employing a fixed effects model and instrumental variable, our findings are as follows. First, over half of the male students believe that boys are better at math than girls, and they also perceive that their parents and society hold the same belief. In contrast, fewer than half of the female students hold this belief or perception. Intriguingly, among these students, female math performance surpasses that of males. Second, stereotypes hinder female math performance, especially among low-achieving ones, while benefiting high-achieving male students. Finally, perceptions of societal stereotypes have the greatest effect on math performance, followed by self-stereotypes and perceptions of parental stereotypes. Understanding the implications of these findings highlights the importance of addressing math-gender stereotypes to promote equal participation and success for both genders in STEM fields.

How does caregiver-child conversation during a scientific storybook reading impact children's mindset beliefs and persistence?

This study explores how caregiver-child scientific conversation during storybook reading focusing on the challenges or achievements of famous female scientists impacts preschoolers' mindset, beliefs about success, and persistence. Caregiver-child dyads (N = 202, 100 female, 35% non-White, aged 4-5, ƒ = .15) were assigned to one of three storybook conditions, highlighting the female scientist's achievements, effort, or, in a baseline condition, neither. Children were asked about their mindset, presented with a persistence task, and asked about their understanding of effort and success. Findings demonstrate that storybooks highlighting effort are associated with growth mindset, attribution of success to hard work, and increased persistence. Caregiver language echoed language from the assigned storybook, showing the importance of reading storybooks emphasizing hard work.

Why are there no girls? Increasing children's recognition of structural causes of the gender gap in STEM

The gender disparity in STEM fields emerges early in development. This research examined children's explanations for this gap and investigated two approaches to enhance children's structural understanding that this imbalance is caused by societal, systematic barriers. Five- to 8-year-old children (N = 145) observed girls' underrepresentation in a STEM competition; the No Structural Information condition presented no additional information, the Structural: Between-Group Comparison (Between) condition compared boys' greater representation to girls' when boys had more opportunities to practice than girls, and the Structural: Within-Group Comparison (Within) condition compared girls' greater STEM representation when they had opportunities versus not. Children in the No Structural condition largely generated intrinsic explanations; in contrast, children in both structural conditions favored structural explanations for girls' lack of participation (Experiment 1) and achievement (Experiment 2). Importantly, each structural condition also had unique effects: Between raised children's fairness concerns, while Within increased children's selection of girls as teammates in a competitive STEM activity.

Stereotypes and social evaluations of scientists are related to different antecedents and outcomes

Research on scientist perceptions tends to focus on either stereotypes (white, male) or social evaluations (competent but cold), sometimes yielding incongruent conclusions (e.g. scientists are simultaneously seen as moral and immoral). Across two preregistered correlational studies (N = 1091), we address this issue by simultaneously assessing stereotypes and social evaluations and their association with two key outcomes: trust in scientists and science career appeal. We find that stereotypes and social evaluations are distinct types of perceptions-they correlate slightly, stem from different worldviews, and predict partially different outcomes. While western enculturation and religiosity predict stereotypes, right-wing political ideology negatively relates to social evaluations. Stereotypes are associated with lower science career appeal among stereotype-incongruent individuals, while social evaluations predict more trust in scientists and higher science career appeal. This work thus sheds light on the psychological pathways to trust in scientists, as well as on the perceived appeal of becoming a scientist.

Girls are good at STEM: Opening minds and providing evidence reduces boys' stereotyping of girls' STEM ability

Girls and women face persistent negative stereotyping within STEM (science, technology, engineering, mathematics). This field intervention was designed to improve boys' perceptions of girls' STEM ability. Boys (N = 667; mostly White and East Asian) aged 9-15 years in Canadian STEM summer camps (2017-2019) had an intervention or control conversation with trained camp staff. The intervention was a multi-stage persuasive appeal: a values affirmation, an illustration of girls' ability in STEM, a personalized anecdote, and reflection. Control participants discussed general camp experiences. Boys who received the intervention (vs. control) had more positive perceptions of girls' STEM ability, d = 0.23, an effect stronger among younger boys. These findings highlight the importance of engaging elementary-school-aged boys to make STEM climates more inclusive.

Untangling the relationship between BMI and academic achievement in the elementary years

Although the negative relationship between BMI and academic achievement (AA) is well documented, no prior studies have investigated the potential bi-directional relationship between BMI and AA in childhood. We investigated the longitudinal relationships between child BMI and AA across different school subjects (reading, math and science) and sexes. To do so, we employed the Early Childhood Longitudinal Study kindergarten cohort (2011), which is a nationally representative sample of American children who entered kindergarten in 2010-2011. We utilised the kindergarten-fifth grade longitudinal sample (n 17 480) and applied cross-lagged panel models with fixed effects to address unobserved heterogeneity. Our results showed significant but small reciprocal relationships between BMI and math/science achievement for girls (n 8540) (year-to-year effect sizes ranged from -0·01 to -0·04), but not for reading. In contrast, we did not find any evidence of reciprocal relationships between BMI and AA for boys (n 8940). Our results reveal that early weight status and academic performance may be jointly responsible for a vicious cycle of poor AA and unhealthy weight. Breaking the cycle from AA may complement existing obesity prevention strategies, particularly for girls in the science, technology, engineering and mathematics field.

"You need to be super smart to do well in math!" Young children's field-specific ability beliefs

Success in science, technology, engineering, and mathematics (STEM) fields is often believed to require intellectual talent ("brilliance"). Given that many cultures associate men more than women with brilliance, this belief poses an obstacle to women's STEM pursuits. Here, we investigated the developmental roots of this phenomenon, focusing specifically on young children's beliefs about math (N = 174 U.S. students in Grades 1-4; 93 girls, 81 boys; 52% White, 17% Asian, 13% Hispanic/Latinx). We found that field-specific ability beliefs (FABs) that associate success in math (vs. reading/writing) with brilliance are already present in early elementary school. We also found that brilliance-oriented FABs about math are negatively associated with elementary school students' (and particularly girls') math motivation-specifically, their math self-efficacy and interest. The early emergence of brilliance-oriented FABs about math and the negative relation between FABs and math motivation underscore the need to understand the sources and long-term effects of these beliefs. RESEARCH HIGHLIGHTS: Field-specific ability beliefs (FABs) are beliefs about the extent to which intellectual talent (or "brilliance") is required for success in a particular field or context. Among adults, brilliance-oriented FABs are an obstacle to diversity in science and technology, but the childhood antecedents of these beliefs are not well understood. The present study (N = 174) found that FABs that associate success in math (vs. reading/writing) with brilliance were already present in Grades 1-4. Brilliance-oriented FABs about math were negatively associated with elementary school students' (and particularly girls') math motivation-specifically, their math self-efficacy and interest.

Beware the myth: learning styles affect parents', children's, and teachers' thinking about children's academic potential

Three experiments examine how providing learning style information (a student learns hands-on or visually) might influence thinking about that student's academic potential. Samples were American and predominately white and middle-class. In Experiment 1, parents (N = 94) and children (N = 73, 6-12 years) judged students who learn visually as more intelligent than hands-on learners. Experiment 2 replicated this pattern with parents and teachers (N = 172). In Experiment 3 (pre-registered), parents and teachers (N = 200) predicted that visual learners are more skilled than hands-on learners at "core" school subjects (math/language/social sciences, except science), whereas, hands-on learners were skilled at non-core subjects (gym/music/art). Together, these studies show that learning style descriptions, resultant of a myth, impact thinking about children's intellectual aptitudes.

The impact of stereotype threat on endogenous poverty-elimination dynamics in generationally poor individuals

Introduction

The study examines the impact of stereotype threat on generationally poor individuals and its effect on achievement motivation. It also explores the extent to which self-affirmation has an intervention effect on the negative impact of stereotype threat.

Methods and results

In Study 1, statements that contained negative stereotypes were used to elicit stereotype threat in generationally poor individuals; the results show that stereotype threat reduced the performance of generationally poor individuals in a mental-rotation task. Study 2 used a questionnaire to measure the endogenous dynamics of generationally poor individuals attempting to escape poverty after experiencing stereotype threat; participants in the stereotype-threat group showed lower-level endogenous poverty-elimination dynamics than those in the control group. In Study 3, a self-affirmation intervention was administered to the stereotype-threat group after the stereotype threat was induced. Participants in the self-affirmation group were shown to have higher-level endogenous poverty-elimination dynamics than those in the control group.

Discussion

These findings confirm the negative effect of stereotype threat on endogenous poverty-elimination dynamics and verify the effectiveness of self-affirmation in mitigating the negative effects of stereotype threat.

Gender impact on STEM online learning- a correlational study of gender, personality traits and learning styles in relation to different online teaching modalities

STEM (science, technology, engineering and mathematics) education benefits both individuals and society. It supports individuals by increasing their critical-thinking skills, encouraging creativity, as well as providing a basis for new inventions. The underrepresentation of women in STEM is a complex issue with various causes and different approaches of addressing it, where most likely gender differences are caused by desires and choice rather than abilities and performance. This paper explores differences in online and traditional STEM learning based on gender. It examines in detail recently identified patterns of women's success, their access to STEM online courses, and their overall course experience during such courses. We analyzed results from a case study in which students were enrolled for one semester in two STEM online courses and completed questionnaires about their character traits and learning styles and how they relate to academic performance. The objective of our research is to analyze academic success during traditional classes and online classes, with focus on gender and identify how character traits and learning styles correlate with gender in online classes. The main outcome of our research is that female students, which study in the field of STEM in particular computer science, are trustworthy and autonomous students who can outperform their male counterparts during traditional courses, where during online courses male students still exceed slightly female students. The trait of Consciousness is a success predictor regardless of gender and learning environment, while the trait of Neuroticism has negative impact the traditional learning environment, Extraversion shows negative impact in online learning. Learning styles show gender differences, where female students prefer the style of read/write while male students favor kinesthetic.

The impact of visualizing the group on children's persistence in and perceptions of STEM

Women are underrepresented in STEM fields across the world. We investigate a perceptual mechanism that may contribute to this gender disparity beginning in early childhood. We explore how visual information about the gender composition of a group of scientists impacts children's persistence on a STEM task and their evaluations of group members. One hundred sixty-six 4- to 6-year-old children viewed one of four groups of scientists: all-male, all-female, a lone female among all-males, or a lone male among all-females. Whereas children's persistence on a STEM task did not change across conditions, their trait judgments did. Children judged the all-male and all-female group scientists as "hardworking," but judged the lone female scientist as "smart." However, they were as likely to judge the lone male scientist as "smart" as to judge him "hardworking." The role of group visualization as a learning mechanism impacting children's perceptions of scientists as early as the preschool years is discussed.

Walking in Her Shoes: Pretending to Be a Female Role Model Increases Young Girls' Persistence in Science

Pretend play is a ubiquitous learning tool in early childhood, enabling children to explore possibilities outside of their current reality. Here, we demonstrate how pretend play can be leveraged to empower girls in scientific domains. American children ages 4 to 7 years (N = 240) played a challenging science activity in one of three conditions. Children in the exposure condition heard about a successful gender-matched scientist, children in the roleplay condition pretended to be that scientist, and children in the baseline condition did not receive information about the scientist. Girls in the roleplay condition, but not in the exposure condition, persisted longer in the science activity than girls in the baseline condition. Pretending to be the scientist equated girls' persistence to that of boys. These findings suggest that pretend play of role models motivates young girls in science and may help reduce gender gaps from their roots.

Exploring Gender Differences in Coding at the Beginning of Primary School

The gender gap in Computer Science (CS) is widely documented worldwide. Only a few studies, however, have investigated whether and how gender differences manifest early in the learning of computing, at the beginning of primary school. Coding, seen as an element of Computational Thinking, has entered the curriculum of primary school education in several countries. As the early years of primary education happen before gender stereotypes in CS are expected to be fully endorsed, the opportunity to learn coding for boys and girls at that age might in principle help reduce the gender gap later observed in CS education. Prior research findings however suggest that an advantage for boys in coding tasks may begin to emerge already since preschool or the early grades of primary education. In the present study we explored whether the coding abilities of 1st graders, at their first experience with coding, are affected by gender differences, and whether their presence associates with gender differences in executive functions (EF), i.e., response inhibition and planning skills. Earlier research has shown strong association between children's coding abilities and their EF, as well as the existence of gender differences in the maturation of response inhibition and planning skills, but with an advantage for girls. In this work we assessed the coding skills and response inhibition and planning skills of 109 Italian first graders, 45 girls and 64 boys, before an introductory coding course (pretest), when the children had no prior experience of coding. We then repeated the assessment after the introductory coding course (posttest). No statistically significant difference between girls and boys emerged at the pretest, whereas an advantage in coding appeared for boys at the posttest. Mediation analyses carried out to test the hypothesis of a mediation role of EF on gender differences in coding show that the gender differences in coding were not mediated by the children's EF (response inhibition or planning). These results suggest that other factors must be accounted for to explain this phenomenon. The different engagement of boys and girls in the coding activities, and/or other motivational and sociocognitive variables, should be explored in future studies.

Investigation of STEM Subject and Career Aspirations of Lower Secondary School Students in the North Calotte Region of Finland, Norway, and Russia

This study investigates the suitability of the STEM Career Interest Survey (STEM-CIS) to measure secondary school students’ aspirations towards STEM subjects and careers. A confirmatory factor analysis (CFA) was conducted to assess the initial structural validity of the adapted STEM-CIS survey, where the science subscale was extended to four science disciplines, to align with the way science is taught in Finland and Russia. The results indicate that the interest in STEM subjects in general is not at a high level in any of the countries. There is a traditional gender gap regarding STEM subjects in every dimension, which favors females in biology and males in technology and engineering. STEM stereotypes among students—due to low exposure to STEM professions at school—can explain students’ low interest despite high self-efficacies. Our study shows that we must increase informal learning opportunities inside and outside school and improve career counselling for students so that they will be more informed of STEM career opportunities.

Gender stereotypes about interests start early and cause gender disparities in computer science and engineering

Societal stereotypes that girls are less interested than boys in computer science and engineering are endorsed by children and adolescents in a large and socioeconomically diverse sample, across multiple racial/ethnic and gender intersections, and as early as age six (first grade). Gender-interest stereotypes may contribute to subsequent gender disparities in the pursuit of these societally important fields. Addressing interest stereotypes may help improve educational equity.

Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls’ subsequent participation in these fields. Studies 1 and 2 (n = 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 (n = 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype (“girls are less interested in this activity than boys”) compared to an activity with no such stereotype (“girls and boys are equally interested in this activity”). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.