Science,Technology, Engineering and Math Readiness: Ethno-linguistic and gender differences in high-school course selection patterns

The study examines science-related course choices of high-school students in the culturally diverse schools of the province of British Columbia, Canada. The analysis employs K-12 provincial data and includes over 44,000 students born in 1990 who graduated from high school by 2009. The research sample reflects the presence of about 27% of students for whom English is not a first language. We construct an empirical model that examines ethno-linguistic and gender differences in Grade 12 course choices while accounting for personal and situational differences among students. The study employs a course selection typology that emphasizes readiness for science, technology, engineering and math fields of study. Findings indicate that math- and science-related course selection patterns are strongly associated with ethnicity, qualified not only by gender and prior math and science achievement but also by the individual's grade level at entry to the system and enrollment in English as a Second Language program. Students who are more likely to engage in math and science courses belong to Asian ethno-linguistic groups and entered the provincial school system during the senior high-school years. We suggest that ethnic diversity and broader academic exposure may play a crucial role in changing the gender composition of science classrooms, university fields of study and science-related occupations.     

Motivation to Learn Science: Differences Related to Gender,Class Type,and Ability

Abstract

Motivation differences of gender, science class type (biological vs. physical), and ability level of 242 high school students were investigated. High achievers and physical science students had higher scores than did low achievers and biological science students on academic goals, valuing science, and perceived ability. Boys had higher scores than did girls on perceived ability and stereotyped views of science. For only a subset of variables, these main effects were moderated by class type using achievement-level interaction. The class type main effect was moderated by gender in only one instance. Gender did not interact with achievement level for any variable. Instructional implications are discussed.     

Sex differences in education: exploring children’s gender identity

Abstract

Gender stereotypes associate mathematics and sciences with boys, whereas reading and writing are typically associated with girls. This study investigated sex differences in primary school children’s motivation (confidence and value) across four academic subjects (maths, science, reading and writing) and examined how their identification with stereotypical masculine and feminine traits related to their motivation in these subjects. Five hundred and thirty-two children (aged 9–11, 52% boys), from five UK schools participated. Sex differences in reading and writing motivation were wider than sex differences found in maths and science motivation. Interestingly, the extent to which children identified with feminine traits was a stronger predictor of their reading and writing motivation than their sex. Gender identity provides an innovative approach to the study of sex differences; it challenges the dichotomy inherent within sex differences research and can lead to a more critical and nuanced understanding of sex differences in education.     

Gender disparities in science and engineering in Chinese universities

Gender disparities in science and engineering majors in Chinese universities have received increasing attention from researchers and educators in China in recent years. Using data from a national survey of college students who graduated in 2005, this study documents gender disparities in enrollment and academic performance in science and engineering majors, and explores gender disparities in initial employment experiences of science and engineering graduates. It finds that females lag far behind males in enrollment in science and engineering majors overall. However, females actually are more represented than males in some majors such as mathematics and chemistry though the reverse is true for other science and engineering majors. Also, in science and engineering majors, females perform better than males in both general course grades and in English competency tests. Male science and engineering graduates have a clear advantage over their female counterparts in initial employment after graduation: they have a high employment rate, a higher starting salary, and are more likely to be employed in such jobs as business management and technical specialist. The male advantage in employment rate and starting salary persists even after controlling for other factors.     

Gender study on the relationships between science interest and future career perspectives

Gender disparities in STEM fields have been under extensive study, the focus of which has been on future career aspirations. However, the primary phases in gender differences are still ambiguous when examined from this perspective, possibly due to the fact that most of the studies have targeted samples of upper secondary school or college students. As such, in this study we examined the transient period to lower secondary school; our aim was to discover to what extent relationships between factors of students’ science interest and career perspectives differ between male and female. Based on previous studies and analyses, we selected three future career perspective variables – outcome, personal time, and innovation orientations – and three defining features of interest – personal value, enjoyment, and cognitive aspect. The sample was conducted in Finland and comprised of 401 grade 7 students aged 13, using a multi-group structural equation modelling. This study found that during the transient period there were clear gender differences regarding interest and preferences of science subjects, as well as their relationship towards future career perspectives. To be specific, biology was preferred by females, and males preferred physics and chemistry. With regard to future career perspectives, female students’ science interest was positively correlated with personal time- and innovation-oriented career perspectives; an outcome-oriented career expectation was negatively related to their interest. Interpretation and implication that might possibly arise from the results were also discussed.     

Motivation and Attribution at Secondary School: the role of gender

A total of 1068 secondary school pupils completed a questionnaire concerned with enjoyment of school, enjoyment of subjects and what they attributed academic success to. Gender differences were shown in the overall enjoyment of school (girls expressing greater enjoyment). Girls also reported liking friends, teachers, outings and lessons more than boys, while boys reported liking sports and school clubs more. Enjoyment of school subjects reflected traditional sex stereotyping: girls reported more liking than did boys for English, French, German, history, drama, music and home economics while boys reported more liking for science. craft and design technology, physical education and information technology. Some gender differences were shown in rating factors contributing to academic success (girls rating hard work and teachers’ liking for you as more important than boys, and boys rating cleverness, talent and luck as more important than girls) but attributions with respect to academic success varied more with age than with gender.     

The interplay of learning approaches and self-efficacy in secondary school students’ academic achievement in science

ABSTRACT

The aim of the present investigation was to analyse the role of academic self-efficacy and approaches to learning in general and in Physics and Chemistry academic achievements. The sample comprised 507 secondary school students of two Spanish schools and the study was conducted in the context of a Physics and Chemistry subject. Structural equation models showed that surface motive was the only type of learning approach directly related to performance. Besides, our models revealed that self-efficacy plays an important role as a mediating variable between the surface strategy and the deep motive learning approaches and academic achievement. Gender effects were also studied as girls showed higher levels of achievement both in general performance and in Physics and Chemistry. Implications for science education and suggestions for future research of these findings are also discussed.     

Avoiding the Issue of Gender in Japanese Science Education

This paper describes how the patriarchal structure of Japanese society and its notions of women, femininity, and gendered stereotypes produced strong cultural barriers to increasing the participation of females in science education. Baseline data on attitudes toward science and the perceptions of gender issues in science education, academic major and career choice were collected from 175 university students (124 female, 51 male). Students responded to a Likert scale that included the option “I don't understand the question”. All respondents took advantage of the option for items related to gender issues. On some items up to 67% of the males responded that they did not understand the question. Females in science choosing this option did not exceed 19%. In Japan, gender is an invisible, pervasive construct that impacts females' participation in science and science education. In other ways, attitudes toward science among Japanese students mirrored those found in the United States and in other countries. Respondents held the most favorable views of science when they were in elementary school and females preferred biology while males preferred the physical sciences. The exception to the Western pattern of liking science and science teachers is that male non-science majors rather than female non-science majors reported poor academic performance in elementary school, declining attitudes in middle school, and they held the most negative attitudes toward their science teacher and science subjects.     

中国留学生学业失败的性别差异及其原因分析——基于在泰中国留学生的调查数据

基于对留学泰国的中国留学生的调查数据,验证了所学专业和家庭背景会影响到学业失败,以及在学业失败上存在着性别差异的假设。进一步的研究发现,学业失败的性别差异不仅在泰国语专业中得到了扩大,而且也受到父亲职业的影响：相对而言,个体户的儿子更多地挂科,个体户的女儿则更少挂科。建议从性别角色的角度寻找导致性别差异随所学专业和父亲职业变化的原因。     

Girls,girls, girls: Gender composition and female school choice

Gender segregation in employment may be explained by women's reluctance to choose technical occupations. However, the foundations for career choices are laid much earlier. Educational experts claim that female students are doing better in math and science and are more likely to choose these subjects if they are in single-sex classes. One possible explanation is that coeducational settings reinforce gender stereotypes. In this paper, we identify the causal impact of the gender composition in coeducational classes on the choice of school type for female students. Using natural variation in the gender composition of adjacent cohorts within schools, we show that girls are less likely to choose a traditionally female dominated school type and more likely to choose a male dominated school type at the age of 14 if they were exposed to a higher share of girls in previous grades.     

Implicit Gender Stereotypes and Essentialist Beliefs Predict Preservice Teachers’ Tracking Recommendations

This study investigated the extent to which differences in implicit and explicit math–language gender stereotypes, and essentialist beliefs among preservice teachers affect tracking recommendations for math/science- versus language-oriented secondary schools. Consistent with expectations, the results suggest that student's gender influences preservice teachers’ school career recommendations: Boys are more likely to be recommended for a math/science-oriented secondary school, whereas girls are more likely recommended for a language-oriented school. Both implicit math–language gender stereotypes and beliefs in genetic determinism (reflecting essentialist beliefs) predicted the stereotypicality of school career recommendations, whereas explicit measures did not. The results suggest that more closely investigating factors contributing to stereotypical behavior in teachers might help to minimize biased actions and decisions in the educational context.     

Gender differences in mathematics and science: the role of the actiotope in determining individuals’ achievements and confidence in their own abilities

Despite changes, gender differences in math and science continue to exist in some countries. We examined whether the actiotopes of boys and girls at the high school level in math and science differed and the extent to which (a) their actiotope components, (b) the progressive development of their actiotopes (dynamic perspective), and (c) the co-adaptation of their actiotopes (systems perspective) function as predictors for girls’ and boys’ achievements and confidence in one’s own abilities in math and science. To answer these questions, we examined girls and boys (N?=?361) in Canada, the Czech Republic, and Germany with a questionnaire. The results suggest that girls are less effective at progressively developing their actiotopes in the fields of math and science and that modifications in their actiotopes were less well balanced by stabilizing forces. Independent of gender, the actiotope aspects considered here are suited to predicting achievements and confidence in one’s own abilities in math and science.     

Using the Repertory Grid as a Complementary Probe in Eliciting Student Understanding and Attitudes towards Science

Abstract

In previous research, participation in science studies in senior secondary school has been related to both background characteristics of students and to earlier achievements and interests. This paper reports an investigation of participation in combinations of subjects in senior secondary schools in Australia which embody different science orientations. It shows that different combinations of factors shape participation in physical science’ and ‘biological and other science’ types of course. Both are favoured by investigative interest but participation in a physical science course type is strongly associated with high levels of earlier school achievement in numeracy and gender whereas participation in a biological and other science course type is more strongly associated with social background and curriculum influences. In addition the paper suggests that the low participation by females in physical science courses should be interpreted in terms of an interactive influence of gender, earlier achievement and socio‐economic background.     

Gender achievement and social,political and economic equality: a European perspective

Differences in gender equality based on social, political and economic factors is cited, by some writers, as a contributory factor in the differentially greater achievement of boys in STEM subjects through the concept of gender stratification. Gender differences, especially in mathematics, have been linked directly to gender parity in wider society. Such a link is predicted by gender stratification via both the gender similarities and gender stratification hypotheses. However analysis by others appearsto support the hypothesis that the gender gap is smaller, in mathematics, when the society has a higher equality index. However, more recently, evidence, based on PISA outcomes from 2000 to 2009, reports that there is little or no correlation between the gender gap and wider equality. This paper takes up this analysis using PISA data from the 2012 round, for both science and mathematics, and the Global Gender Gap Index in a European context. The results cast doubts on any link between national gender equality and achievement in science or mathematics.     

An exploration of gender participation patterns in science competitions

This study investigated participation in a state-level science competition over most of its 35-year history. Issues examined included whether different gender patterns occurred with respect to entry rate, project topic (life science, physical science, earth science, and math), and project type (research or display). The study also examined to what extent the identified patterns reflected or contradicted nationwide patterns of girls' academic performance in science over roughly the same time period. It was found that although girls initially participated in the fair less frequently than boys, for the past 20 years their participation rate has been greater than that of boys. Examination of topic preferences over the years indicates that both girls and boys have traditionally favored life science; however, boys have been and continue to be more likely to prepare physical, earth, and math/computer science projects than girls. Another gender difference is that girls are generally less likely than boys to prepare projects based on experimental research as opposed to library research. The study provides some suggestions for teachers and teacher educators for addressing these disparities.     

How Do Academic Achievement and Gender Affect the Earnings of STEM Majors? A Propensity Score Matching Approach

The United States government recently enacted a number of policies designed to increase the number of American born students graduating with degrees in science, technology, engineering and mathematics (STEM), especially among women and racial and ethnic minorities. This study examines how the earnings benefits of choosing a STEM major vary both by gender and across the distribution of academic achievement. I account for the selection into college major using propensity score matching. Measures of individual educational preferences based on Holland’s theory of career and educational choice provide a unique way to control for college major selection. Findings indicate that the earnings benefit to STEM major choice ranges from 5 to 28 % depending both on academic achievement and on gender and that high-achieving students benefit more from STEM major choice. Further, high achieving men benefit more from STEM majors than high-achieving women. Earnings differences in major choice may play an important role in explaining the underrepresentation of women in STEM major fields, especially among high achieving students.     

Mindset × Context: Schools,Classrooms, and the Unequal Translation of Expectations into Math Achievement

When do adolescents' dreams of promising journeys through high school translate into academic success? This monograph reports the results of a collaborative effort among sociologists and psychologists to systematically examine the role of schools and classrooms in disrupting or facilitating the link between adolescents' expectations for success in math and their subsequent progress in the early high school math curriculum. Our primary focus was on gendered patterns of socioeconomic inequality in math and how they are tethered to the school's peer culture and to students' perceptions of gender stereotyping in the classroom. To do this, this monograph advances Mindset × Context Theory. This orients research on educational equity to the reciprocal influence between students' psychological motivations and their school-based opportunities to enact those motivations. Mindset × Context Theory predicts that a student's mindset will be more strongly linked to developmental outcomes among groups of students who are at risk for poor outcomes, but only in a school or classroom context where there is sufficient need and support for the mindset. Our application of this theory centers on expectations for success in high school math as a foundational belief for students' math progress early in high school. We examine how this mindset varies across interpersonal and cultural dynamics in schools and classrooms. Following this perspective, we ask:

• 1. Which gender and socioeconomic identity groups showed the weakest or strongest links between expectations for success in math and progress through the math curriculum?
• 2. How did the school's peer culture shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?
• 3. How did perceptions of classroom gender stereotyping shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?

We used nationally representative data from about 10,000 U.S. public school 9th graders in the National Study of Learning Mindsets (NSLM) collected in 2015–2016—the most recent, national, longitudinal study of adolescents' mindsets in U.S. public schools. The sample was representative with respect to a large number of observable characteristics, such as gender, race, ethnicity, English Language Learners (ELLs), free or reduced price lunch, poverty, food stamps, neighborhood income and labor market participation, and school curricular opportunities. This allowed for generalization to the U.S. public school population and for the systematic investigation of school- and classroom-level contextual factors. The NSLM's complete sampling of students within schools also allowed for a comparison of students from different gender and socioeconomic groups with the same expectations in the same educational contexts. To analyze these data, we used the Bayesian Causal Forest (BCF) algorithm, a best-in-class machine-learning method for discovering complex, replicable interaction effects. Chapter IV examined the interplay of expectations, gender, and socioeconomic status (SES; operationalized with maternal educational attainment). Adolescents' expectations for success in math were meaningful predictors of their early math progress, even when controlling for other psychological factors, prior achievement in math, and racial and ethnic identities. Boys from low-SES families were the most vulnerable identity group. They were over three times more likely to not make adequate progress in math from 9th to 10th grade relative to girls from high-SES families. Boys from low-SES families also benefited the most from their expectations for success in math. Overall, these results were consistent with Mindset × Context Theory's predictions. Chapters V and VI examined the moderating role of school-level and classroom-level factors in the patterns reported in Chapter IV. Expectations were least predictive of math progress in the highest-achieving schools and schools with the most academically oriented peer norms, that is, schools with the most formal and informal resources. School resources appeared to compensate for lower levels of expectations. Conversely, expectations most strongly predicted math progress in the low/medium-achieving schools with less academically oriented peers, especially for boys from low-SES families. This chapter aligns with aspects of Mindset × Context Theory. A context that was not already optimally supporting student success was where outcomes for vulnerable students depended the most on student expectations. Finally, perceptions of classroom stereotyping mattered. Perceptions of gender stereotyping predicted less progress in math, but expectations for success in math more strongly predicted progress in classrooms with high perceived stereotyping. Gender stereotyping interactions emerged for all sociodemographic groups except for boys from high-SES families. The findings across these three analytical chapters demonstrate the value of integrating psychological and sociological perspectives to capture multiple levels of schooling. It also drew on the contextual variability afforded by representative sampling and explored the interplay of lab-tested psychological processes (expectations) with field-developed levers of policy intervention (school contexts). This monograph also leverages developmental and ecological insights to identify which groups of students might profit from different efforts to improve educational equity, such as interventions to increase expectations for success in math, or school programs that improve the school or classroom cultures.     

Minding the Gaps in Absenteeism: Disparities in Absenteeism by Race/Ethnicity,Poverty and Disability

ABSTRACT

Children from certain racial and ethnic minority backgrounds, in poverty, and/or with a disability, often face distinct challenges in attending school, leading them to miss more school relative to their non-minority, more socio-economically advantaged and non-disabled peers. This brief describes these disparities in absenteeism in the US, discusses the challenge of explaining these disparities, and considers the implications that disparities have for addressing absenteeism. Finally, it closes with advice on how schools can make headway in reducing disparities in absenteeism. As this brief argues, while schools can readily document absenteeism gaps, diagnosing the root causes of these gaps remains much more elusive. Further, schools seeking to reduce disparities in absenteeism will not only need to intentionally establish explicit targets to reduce such gaps, but they will need to develop individualized strategies to remove barriers to attendance thereby getting children—especially those facing disproportionate challenges—back into the classroom.     

Internalizing and externalizing in adolescence: the roles of academic self‐efficacy and gender

This study examines academic self‐efficacy and gender as predictors of internalizing and externalizing behaviors in adolescence. In addition, the role of gender was considered as a moderator in the relationship between academic self‐efficacy and internalizing/externalizing difficulties. Participants were 4,318 predominantly African American, low‐income high school students who completed self‐report measures on the constructs of interest. Academic self‐efficacy and gender were both significant predictors of risk for internalizing problems, whereas only academic self‐efficacy predicted risk for externalizing (hyperactivity/distractibility) problems. Gender did not predict externalizing difficulties, nor did gender serve as a moderator in any analysis. Implications include focusing on academic self‐efficacy in the development of strategies for prevention and intervention of internalizing and externalizing problems.     

Mapping changes in students’ English and math self-concepts: a latent growth model study

The aims of this study were to examine changes in students’ English and math self-concepts and to investigate the effects of gender and school ability level on these changes. Self-concept in English and math were measured thrice across three years among a sample of 2618 secondary school students from Hong Kong. Gender and school ability level were included as time-invariant predictors. Results indicated that students’ English self-concept slightly increased across time, while math self-concept marginally declined. Gender influenced both the initial levels and rates of change for English and math self-concepts, while school ability level predicted initial levels of self-concept. Implications are discussed.