Programming experience promotes higher STEM motivation among first-grade girls

Developmental Trajectories of Adolescents' Math Motivation: The Role of Mindset and Perceptions of Informal STEM Learning Site Inclusivity

Motivation is a key factor in engagement, achievement, and career choices in science, technology, engineering, and mathematics (STEM). While existing research has focused on student motivation toward math in formal school programs, new work is needed that focuses on motivation for those involved in informal STEM programs. Specifically, the role of math mindset and perceived inclusivity of informal STEM sites (to those of varying gender and ethnic backgrounds) on longitudinal trajectories of adolescents' math motivation has not been explored. This study investigates longitudinal changes in math expectancy, interest, and utility values and the effects of math fixed mindset, math growth mindset, and perceptions of the inclusivity of informal STEM learning sites on these changes for adolescents participating in STEM programs at these informal sites in the United Kingdom and the United States (n = 249, MT1age = 15.2, SD = 1.59). Three latent growth curve models were tested. The data suggest that math expectancy, interest, and utility values declined over three years. Growth mindset positively predicted changes in utility, while fixed mindset negatively predicted changes in utility. Inclusivity positively influenced the initial levels of utility. Girls reported lower initial expectancy than boys. Age influenced both the initial levels and rate of change for expectancy. Older adolescents had lower levels of expectancy compared to their younger counterparts; however, they had a less steep decline in expectancy over three years. These findings suggest that designing inclusive learning environments and promoting growth mindset may encourage math motivation.

Similarity or stereotypes? An investigation of how exemplar gender guides children's math learning

How does the representation of boy and girl exemplars in curricular materials affect students' learning? We tested two competing hypotheses about the impact of gender exemplar on learning: First, in line with Social Learning Theory, children might exhibit a same-gender bias such that they prefer to learn from exemplars that match their gender (H1). Second, consistent with research on children's stereotypes about gender and math (e.g., associating boys with math competence), children might prefer to learn from exemplars who match their stereotypes about who is good at math (H2). We tested these hypotheses with children in middle school (N = 166), a time of development in which stereotypes are well-engrained, but before gender differences in math achievement appear. Children viewed two distinct math strategies, each presented by a boy or girl exemplar. We then examined which strategy children employed on a subsequent math test as well as their perceived similarity to the exemplars and their awareness or endorsement of gender-math stereotypes. Children did not preferentially learn from same-gender exemplars. However, children with stereotypes associating boys with math were more likely to learn the more difficult strategy when it was presented by a boy exemplar than children who did not associate boys with math. The results of this study provide valuable insight into how children's stereotypes impact their real-world learning. RESEARCH HIGHLIGHTS: How does the representation of boy and girl exemplars in children's curricular materials affect their learning? Past research demonstrates that children prefer to learn from same-gender exemplars, but also hold a stereotype that boys are better at math. In the current study, we test whether children preferentially adopt a math strategy presented by a boy or girl exemplar. Children who held the belief that boys are better at math were more likely to learn a difficult strategy from boy exemplars than children who did not endorse this stereotype.

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.

"Programming Is Not That Hard!" When a Science Center Visit Increases Young Women's Programming Ability Beliefs

To increase engagement with science and technology, young people around the world are encouraged to attend activities at science centers. But how effective are these activities? Since women have weaker ability beliefs and interest in technology than men, it is especially important to learn how science center visits affect them. In this study, we tested if programming exercises offered to middle school students by a Swedish science center would increase ability beliefs and interest in programming. Students in grades 8 and 9 (n = 506) completed a survey before and after visiting the science center, and their ratings were compared to a wait-list control group (n = 169). The students participated in block-based, text-based, and robot programming exercises developed by the science center. The results showed that programming ability beliefs increased for women, but not men, and that interest in programming decreased for men, but not women. The effects persisted at a follow-up (2-3 months). The young men reported stronger ability beliefs and interest than the young women at all timepoints. The results imply that science center activities can make programming feel less hard, but adaptations may be needed to also increase interest.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41979-023-00094-w.

Tech-Savvy Men and Caring Women: Middle School Students’ Gender Stereotypes Predict Interest in Tech-Education

The labor market is strongly gender segregated with few women working in the tech sector (e.g., IT) and few men working in the care sector (e.g., nursing). We tested the hypothesis that middle school students strongly associate technology with men and caregiving with women in a Swedish context (i.e., a country that scores high in gender equality indices), and that these gender stereotypes for tech relate to girls’ lower interest in tech-focused education. We measured technology/caregiving gender stereotypes with implicit (the Implicit Association Test) and explicit (self-report) measures in a sample of middle school students (n = 873). The results supported the main hypotheses, and corroborate Eccles’s expectancy value theory, indicating that the endorsement of implicit gender stereotypes may serve as barriers to pursuing masculine-typed career paths for women. Further, a sample of middle school teachers (n = 86) showed stronger implicit gender stereotypes than the students. Unexpectedly, middle school girls with a foreign background showed no implicit gender stereotypes, which we discuss in relation to the gender-equality paradox. These findings suggest that to fulfill the recruitment needs of an increasingly digitalized world, the tech-industry and other stakeholders should put effort into counteracting the stereotype that technology is for men.

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.

Gender Stereotypes and Peer Selection in STEM Domains Among Children and Adolescents

Gender stereotypes are harmful for girls’ enrollment and performance in science and mathematics. So far, less is known about children’s and adolescents’ stereotypes regarding technology and engineering. In the current study, participants’ (N = 1,206, girls n = 623; 5–17-years-old, M = 8.63, SD = 2.81) gender stereotypes for each of the STEM (science, technology, engineering, and mathematics) domains were assessed along with the relation between these stereotypes and a peer selection task in a STEM context. Participants reported beliefs that boys are usually more skilled than are girls in the domains of engineering and technology; however, participants did not report gender differences in ability/performance in science and mathematics. Responses to the stereotype measures in favor of one’s in-group were greater for younger participants than older participants for both boys and girls. Perceptions that boys are usually better than girls at science were related to a greater likelihood of selecting a boy for help with a science question. These findings document the importance of domain specificity, even within STEM, in attempts to measure and challenge gender stereotypes in childhood and adolescence.

Review on the teaching of programming and computational thinking in the world

Recent studies suggest that computational thinking, composed of the skills of abstraction, decomposition, algorithmization, debugging, and problem-solving, is the fundamental skill for scientific, technological, and economic development for the twenty-first century. However, this diagnosis that is unveiled in rich countries remains nebulous for poor countries. The problem is that education in computational thinking is fundamental for countries to insert themselves in the international arena in an advantageous way and thus achieve the welfare goals for the population of each country. The objective of this research was to make a bibliographic review that shows the state of the art in the teaching of computer programming and computational thinking in the 5 continents. In the review, the advances in the countries of Europe, North America, Oceania, and Asia were observed, whereas in Latin America and Africa, the advances are still basic in some countries and non-existent in others. This review is based on Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). The main search terms were “Computational thinking” and “Teaching computer programming.” The search was performed in the ACM, Conference on Computational Thinking Education (Hong-Kong), Google Scholar, WOS, and SCOPUS databases, from October until December 2020, whose publication year was from 2016 onward. One of the main results found is that the teaching of computational thinking in England was implemented in schools in 2014; in Germany, it has been implemented since 2016 at a transversal level in universities; in South Korea, China, and Taiwan, it has been implemented since 2016. However, in Latin America and Africa governments, the subject is still not considered.

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.

The Influence of Online STEM Education Camps on Students' Self-Efficacy, Computational Thinking, and Task Value

As a result of COVID-19, various forms of education and teaching are moving online. However, the notion of an online STEM camp is still in its beginnings, and there is little relevant research and experience in this context. At the beginning of April 2021, the research team launched an online STEM charity camp with the theme of "Shen Nong Tastes Herbs." Participants included 113 third- and fourth-grade primary school students ranging from 8 to 12 years of age from four schools in Karamay, Xinjiang Uygur Autonomous Region with weak educational capabilities. The camp lasted for 3 days and included 7 activities, while remote teaching was accomplished through Dingtalk. Pre- and post-test questionnaires and interviews were used to explore the impact of this camp on students. We found that online STEM camps could improve students' self-efficacy, computational thinking, and task value, and there is a significant improvement in the self-efficacy (p = 0.000) and task value (p = 0.001) dimensions. In addition, students with high self-efficacy had higher scores in the other two dimensions. Finally, we summarized the experiences and gains of students and teachers and proposed suggestions for developing online camps based on this experience. [Table: see text].

Supplementary Information

The online version contains supplementary material available at 10.1007/s10956-022-09967-y.

Reducing gender differences in student motivational-affective factors: A meta-analysis of school-based interventions

BACKGROUND

Research shows that gender differences tend to exist in student motivational-affective factors in core subjects such as math, science or reading, where one gender is stereotypically disadvantaged.

AIMS

This study aimed to investigate strategies that could reduce these gender differences by conducting a meta-analysis on school-based intervention studies that targeted student motivational-affective factors. We therefore evaluated whether interventions had differential effects for male and female students' motivational-affective factors in a given academic subject. We also evaluated potential moderator variables.

METHOD

After conducting a systematic database search and screening abstracts for inclusion, we synthesized 71 effect sizes from 20 primary studies. All included studies were conducted in science or mathematics-related subjects, which are stereotypically female-disadvantaged.

RESULTS

While the interventions had significant positive effects for both genders, there was no statistically significant difference between the two genders with regard to the intervention effects on motivational-affective factors. However, the descriptive effect size for female students (g = .49) was far greater than for male students (g = .28). Moderator analyses showed no significant effects for grade level, intervention duration, or school subject, but there was a significant influence of intervention method used.

CONCLUSIONS

This study demonstrated that school-based interventions have positive effects on motivational-affective factors for both genders. It also provides evidence that interventions in subjects where female students are stereotypically disadvantaged may have greater effects for females than for males. Implications and suggestions for future research are discussed.

Components and Indicators of the Robot Programming Skill Assessment Based on Higher Order Thinking

Robot programming skill classes are becoming more popular. Higher order thinking, on the other hand, is an important issue in developing the skills of 21st-century learners. Truth be told, those two abilities are consistent subjects that are trending in academics. The purpose of this study is to design the components and indicators of a robot programming skill assessment based on higher order thinking. The methodology is divided into two phases: (1) qualitative research: a review of the literature on the issues for the synthesis of components and indicators of the robot programming skill assessment based on higher order thinking; and (2) quantitative research: to test the validity of the robot programming skill assessment by the content validity index test (CVI) with seven experts and the reliability with Cronbach’s alpha statistic test with the questionnaire results from 50 participants. The results show that the synthesized robot programming skill assessment consists of three components with 16 indicators, all of which are accepted for their agreed content validity index assessment (CVI = 1.00), and the internal consistency calculation results for the reliability test are found to have an acceptable reliability (α = 0.747).

Exploring the Features of Educational Robotics and STEM Research in Primary Education: A Systematic Literature Review

STEM education programs with educational robotics are frequently used in formal or informal education, with participants ranging from kindergarten children up to university students. The widespread implementation of these programs in schools and the growing interest of researchers in the field has led several authors/researchers to review and summarize the characteristics of STEM research. However, the literature on the features of STEM research in primary education (kindergarten and primary school) is limited. Therefore, this article is a systematic literature review that tries to enrich the STEM agenda by answering the questions: (a) which study designs are commonly used in STEM interventions, (b) what the characteristics of the sample are (number/age of the students), (c) which equipment and user interfaces (tangible/graphical) are used, and (d) what are the characteristics of the studies (duration, intervention objectives, activities) and how studies’ data were recorded. For this review, 36 out of 337 articles were analyzed and emerged from eight databases, three search-keywords and six exclusion criteria. The examination of the reviewed articles showed, inter alia, that non-experimental design is usually used, that in half of the cases written evaluations are used and the sample size is almost equal between girls and boys. Finally, long-term research is restricted, therefore it is not safe to generalize the findings of these studies.

Students’ Engagement in Education as Sustainability: Implementing an Ethical Dilemma-STEAM Teaching Model in Chemistry Learning

This paper reports the results of a study on the implementation of the Ethical Dilemma STEAM Teaching Model in secondary schools in Jakarta, Indonesia. This interdisciplinary curriculum approach employed ‘ethical dilemma story pedagogy’ in a STEAM education project designed to engage students in values-based chemistry learning. Drawing on the arts, specially written ethical dilemma stories posing real-world environmental problems engaged students in exploring their value systems. Students reflected on the pros and cons of ethical dilemmas related to the everyday use of artificial fertilizers, disposal of used cooking oil and detergent waste, and environmental pollution caused by plastic waste. The purpose of the study was to investigate the potential of the Ethical Dilemma STEAM Teaching Model to empower Indonesian secondary school students with both chemistry knowledge and transdisciplinary capabilities for resolving environmental problems. The researchers conducted an interpretive case study of four high-school chemistry classes to understand students’ learning experiences and outcomes. Data were obtained from students’ reflective journals, semi-structured interviews, and classroom observations. The results demonstrate that students engaged in deep chemistry learning while simultaneously developing critical reflective social thinking, collaborative decision-making skills, and increased awareness of the need to protect the environment in order to support sustainable development. The study revealed that chemistry education can play a strategic role through ethical values learning in empowering students to become agents of change for environmental sustainability. Further research is warranted into the efficacy of the Ethical Dilemma STEAM Teaching Model for empowering students in sustainability education across a broad range of science-related topics and sociocultural contexts.

Children’s Views About Their Future Career and Family Involvement: Associations With Children’s Gender Schemas and Parents’ Involvement in Work and Family Roles

Substantial gender disparities in career advancement are still apparent, for instance in the gender pay gap, the overrepresentation of women in parttime work, and the underrepresentation of women in managerial positions. Regarding the developmental origins of these gender disparities, the current study examined whether children’s views about future career and family involvement were associated with children’s own gender schemas (gender stereotypes, gender identity) and parents’ career- and family-related gender roles. Participants were 142 Dutch families with a child between the ages of 6 and 12 years old (M = 9.80, SD = 1.48, 60% girls). The families had different compositions (1 parent, 2 parents, 1 to 3 children). Children completed a computer task assessing gender stereotypes about toys and questionnaires on gender identity (i.e., felt similarity to same- and other-gender children) and their views about future career and family involvement. Parents reported their occupation, work hours, and task division in the home, which were combined in a composite variable reflecting gender-typicality of career and family involvement. Generalized estimation equations were used to take into account dependency between family members. Results revealed that parents’, and especially mothers’, gender-typical career and family involvement was associated with children’s gender-typical views about future career and family involvement. In addition, children’s felt similarity to the same gender was associated with children’s gender-typical expectations about career and family involvement. These findings suggest that parents’ career, work hours, and task division in the home, together play an important role in how their children envision their future work and family roles. Children themselves also play an active role in developing this vision for the future by their own gender identity, specifically by how similar they feel to individuals of the same gender. To reduce gender disparities in the occupational and domestic domain, programs need to be designed that focus on parental role modeling in the family as well as children’s gender identity development.

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.

Climate change: An increase in norms for inclusion predicts greater fit and commitment for women in STEM

In male-dominated STEM fields, workplace culture is often cited as a factor for women’s attrition. In the present research, we used longitudinal field data to examine how changes in the perceived normative support for gender-inclusive policies and practices over 6 months relate to changes in women’s and men’s experiences of fit and commitment to their organization. Longitudinal analyses of survey data from a sample of 181 engineers revealed that increased perceptions of support for gender-inclusive policies and practices predicted increased organizational commitment only among women, an effect that was mediated by an increase in organizational value fit. Additional analyses suggest that perceptions of change in normative attitudes toward inclusive policies were more predictive of women’s organizational commitment than the awareness that the policies were in place or that one has personally benefitted from them. The implications of an inclusive workplace culture for supporting women’s retention in STEM are discussed.

Examining High School Students' Gendered Beliefs about Math: Predictors and Implications for Choice of STEM College Majors

Utilizing the High School Longitudinal Study, a nationally representative sample of U.S. high school students, this study investigates the factors that predict different beliefs about gendered math ability and the potential consequences for students' choices to enter gender-segregated science, technology, engineering, and mathematics (STEM) majors in college. Among other results, analyses reveal that while about 25 percent of students report a traditionally stereotypical belief in male superiority, about 20 percent report a counter-stereotypical belief in female superiority; among female students, such beliefs are more common among black students. Further, models reveal a robust association between holding counter-stereotypical beliefs and the likelihood that women choose biological science majors, which are female dominated, compared to non-STEM fields. Among men, holding counter-stereotypical beliefs is associated with a lower likelihood of majoring in physical science, computer science, math, and engineering fields, which are strongly male dominated, versus non-STEM fields. Implications for gender inequality in STEM fields are discussed.

Children's Gender Stereotypes in STEM Following a One-Shot Growth Mindset Intervention in a Science Museum

Women are drastically underrepresented in science, technology, engineering, and mathematics (STEM) and this underrepresentation has been linked to gender stereotypes and ability related beliefs. One way to remedy this may be to challenge male bias gender stereotypes around STEM by cultivating equitable beliefs that both female and male can excel in STEM. The present study implemented a growth mindset intervention to promote children’s incremental ability beliefs and investigate the relation between the intervention and children’s gender stereotypes in an informal science learning site. Participants (n = 143, female n = 77, male n = 66, 5–12-years-old, M^age = 8.6, SD = 1.7) were visitors to a science museum who took part in an interactive space science show. Participants who were exposed to a growth mindset intervention, compared to the participants in the control condition, reported significantly less gender stereotyping around STEM by reporting equitably in the stereotype awareness measure. Relatedly, participants in the control condition reported male bias gender stereotype in the stereotype awareness measure. Further, children between 5 and 8-years-old reported greater male bias stereotypes awareness and stereotype flexibility in space science compared to children between 9 and 12-years-old. Lastly, children demonstrated in-group bias in STEM ability. Male participants reported gender bias favoring males’ ability in stereotype flexibility and awareness measures, while female participants reported bias toward females’ ability in stereotype flexibility and awareness measures. These findings document the importance of a growth mindset intervention in buffering against STEM gender stereotyping amongst children, as well as the significant role a growth mindset intervention can play within an informal science learning site.

Embracing diversity and inclusivity in an academic setting: Insights from the Organization for Human Brain Mapping

Scientific research aims to bring forward innovative ideas and constantly challenges existing knowledge structures and stereotypes. However, women, ethnic and cultural minorities, as well as individuals with disabilities, are systematically discriminated against or even excluded from promotions, publications, and general visibility. A more diverse workforce is more productive, and thus discrimination has a negative impact on science and the wider society, as well as on the education, careers, and well-being of individuals who are discriminated against. Moreover, the lack of diversity at scientific gatherings can lead to micro-aggressions or harassment, making such meetings unpleasant, or even unsafe environments for early career and underrepresented scientists. At the Organization for Human Brain Mapping (OHBM), we recognized the need for promoting underrepresented scientists and creating diverse role models in the field of neuroimaging. To foster this, the OHBM has created a Diversity and Inclusivity Committee (DIC). In this article, we review the composition and activities of the DIC that have promoted diversity within OHBM, in order to inspire other organizations to implement similar initiatives. Activities of the committee over the past four years have included (a) creating a code of conduct, (b) providing diversity and inclusivity education for OHBM members, (c) organizing interviews and symposia on diversity issues, and (d) organizing family-friendly activities and providing childcare grants during the OHBM annual meetings. We strongly believe that these activities have brought positive change within the wider OHBM community, improving inclusivity and fostering diversity while promoting rigorous, ground-breaking science. These positive changes could not have been so rapidly implemented without the enthusiastic support from the leadership, including OHBM Council and Program Committee, and the OHBM Special Interest Groups (SIGs), namely the Open Science, Student and Postdoc, and Brain-Art SIGs. Nevertheless, there remains ample room for improvement, in all areas, and even more so in the area of targeted attempts to increase inclusivity for women, individuals with disabilities, members of the LGBTQ+ community, racial/ethnic minorities, and individuals of lower socioeconomic status or from low and middle-income countries. Here, we present an overview of the DIC's composition, its activities, future directions and challenges. Our goal is to share our experiences with a wider audience to provide information to other organizations and institutions wishing to implement similar comprehensive diversity initiatives. We propose that scientific organizations can push the boundaries of scientific progress only by moving beyond existing power structures and by integrating principles of equity and inclusivity in their core values.

Math Is for Me: A Field Intervention to Strengthen Math Self-Concepts in Spanish-Speaking 3rd Grade Children

Children's math self-concepts-their beliefs about themselves and math-are important for teachers, parents, and students, because they are linked to academic motivation, choices, and outcomes. There have been several attempts at improving math achievement based on the training of math skills. Here we took a complementary approach and conducted an intervention study to boost children's math self-concepts. Our primary objective was to assess the feasibility of whether a novel multicomponent intervention-one that combines explicit and implicit approaches to help children form more positive beliefs linking themselves and math-can be administered in an authentic school setting. The intervention was conducted in Spain, a country in which math achievement is below the average of other OECD countries. We tested third grade students (N = 180; M _age = 8.79 years; 96 girls), using treatment and comparison groups and pre- and posttest assessments. A novelty of this study is that we used both implicit and explicit measures of children's math self-concepts. For a subsample of students, we also obtained an assessment of year-end math achievement. Math self-concepts in the treatment and comparison groups did not significantly differ at pretest. Students in the treatment group demonstrated a significant increase in math self-concepts from pretest to posttest; students in the comparison group did not. In the treatment group, implicit math self-concepts at posttest were associated with higher year-end math achievement, assessed approximately 3 months after the completion of the intervention. Taken together, the results suggest that math self-concepts are malleable and that social-cognitive interventions can boost children's beliefs about themselves and math. Based on the favorable results of this feasibility study, it is appropriate to formally test this novel multicomponent approach for improving math self-concepts using randomized controlled trial (RCT) design.

Enhancing same-gender imitation by highlighting gender norms in Chinese pre-school children

Children selectively imitate in-group over outgroup individuals under certain experimental conditions. We investigated whether this bias applies to gender in-groups in China. Three- and five-year-olds were shown how to operate novel objects by same-gender and opposite-gender models. Results indicate that the combination of verbally highlighting the gender identity of the model (e.g., 'I am a girl') and making gender norms explicit (e.g., 'girls play this way') significantly enhances high-fidelity imitation. This 'double social effect' was more robust in 5-year-olds than 3-year-olds. Our results underscore how language about gender and the norms for gender-based groups influence behavioural imitation. The pattern of findings enhances our knowledge about pre-schoolers' social learning and imitation as well as the powerful influence of language and group norms on children's voluntary actions and learning.

Children's and parents' looking preferences to gender-typed objects: Evidence from eye tracking

Differences between children's and parents' implicit and explicit gender stereotypes were investigated in two experiments. For the first time, the visual world paradigm compared parents' and 7-8-year-old children's looking preferences toward masculine- and feminine-typed objects stereotypically associated with a story character's gender. In Experiment 1 participants listened to sentences that included a verb that inferred intentional action with an object (e.g., "Lilly/Alexander will play with the toy"), and in Experiment 2 the verb was replaced with a neutral verb (e.g., "Lilly/Alexander will trip over the toy"). A questionnaire assessed participants' explicit gender stereotype endorsement (and knowledge [Experiment 2]) of children's toys. Results revealed that parents and children displayed similar implicit stereotypes, but different explicit stereotypes, to one another. In Experiment 1, both children and parents displayed looking preferences toward the masculine-typed object when the story character was male and looking preferences toward the feminine-typed object when the character was female. No gender effects were found with a neutral verb in Experiment 2, reinforcing the impact of gender stereotypes on implicit processing and showing that the effects are not simply driven by gender stereotypic name-object associations. In the explicit measure, parents did not endorse the gender stereotypes related to toys but rather appeared to be egalitarian, whereas children's responses were gender stereotypic.

Perceptions about the Use of Educational Robotics in the Initial Training of Future Teachers: A Study on STEAM Sustainability among Female Teachers

In these moments of future uncertainty and change, teachers must be trained to respond to the challenges posed by today’s society, and the challenges that are closely related to the economy. We are going through the first steps of the Fourth Industrial Revolution, and changes are already taking place in our daily lives, in our way of learning, working, and interacting with each other. According to the data of the World Economic Forum (WEF), the future of teacher professional development is disfigured—most technological profiles play a strong role, and this affects the skills and abilities of teachers, especially in the fields of Science, Technology, Engineering, Arts, and Mathematics (STEAM). The goal is to achieve the Millennium Goal number three proposed by the United Nations: All countries must promote gender equality and the empowerment of women. This objective aims to eliminate gender disparity in primary and secondary education, and the promotion of ICT (Information and Communication Technology) to improve the competences of women and vulnerable groups to ensure that no one is left behind. These are priority areas to consider regarding SDG4 (Sustainable Development Goal 4) and Education 2030.

Imitation in Chinese Preschool Children: Influence of Prior Self-Experience and Pedagogical Cues on the Imitation of Novel Acts in a Non-Western Culture

Both prior experience and pedagogical cues modulate Western children’s imitation. However, these factors have not been systematically explored together within a single study. This paper explored how these factors individually and together influence imitation using 4-year-old children born and reared in mainland China (N = 210)—a country that contains almost one-fifth of the world’s population, and in which childhood imitation is under-studied using experimental methodology. The behavior of children in this culture is of special interest to theory because traditional East Asian culture places high value on conformity and fitting in with the group. Thus, high-fidelity imitation is emphasized in the local culture. This value, practice, or norm may be recognized by children at a young age and influence their imitative performance. In this study, we crossed prior self-experience and pedagogical cues, yielding four demonstration groups in addition to a control group. This design allowed us to investigate the degree to which Chinese preschoolers’ imitation was modulated by the two experimental factors. High-fidelity imitation was significantly modulated by prior self-experience but not by pedagogical cues, as measured by the number of novel acts imitated and also the serial order of these acts. This study (i) expands our understanding of factors that modulate imitation of novel behaviors in preschoolers and (ii) contributes to efforts to broaden research beyond Western societies to enrich our theories, particularly regarding social learning and imitation. Imitation is a key mechanism in the acquisition of culturally appropriate behaviors, mannerisms, and norms but who, what, and when children imitate is malleable. This study points to both cross-cultural invariants and variations to provide a fuller picture of the scope and functions of childhood imitation.

Children's evaluations of deviant peers in the context of science and technology: The role of gender group norms and status

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Boys negatively evaluate peers who challenge group norms related to computing.

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Children expect groups to negatively evaluate challenges to science gender norms.

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Perceptions of group evaluation predict how boys individually evaluate their peers.

Women are drastically underrepresented within computer science, which is in part informed by societal ideas of who can and should belong in the sciences. Less is known about how children evaluate their peers who challenge gendered expectations of who can and should take part in computer science. The current study asked children (N = 213; 110 girls) in middle childhood (M_age = 8.71 years; n = 108) and late childhood (M_age = 10.56 years; n = 105) to evaluate a gender-matched peer who challenged a group norm related to either computer science (male-gendered domain) or biology (less male-gendered domain). Male participants most negatively evaluated a peer who wanted to take part in a biology activity when the rest of the group wanted to do a programming activity. Furthermore, male participants expected their group to negatively evaluate this deviant peer in the programming condition. Mediation analysis revealed that for boys in the computer science condition, perceived group evaluation predicted individual evaluation. Female participants, in contrast, did not negatively evaluate someone who challenged a STEM (science, technology, engineering, and math) peer group norm. This study demonstrates that male peer groups may perpetuate the idea that computer science is for men through negative evaluation of in-group members who challenge those ideas and, in turn, maintain their dominant position as the high-status group. Achieving equity in the computer science field will require a greater understanding of these peer group norms.

Understanding second grader’s computational thinking skills in robotics through their individual traits

Purpose

This study aims to investigate the relationship between the personal traits and computational thinking skills of second graders within the context of robotics activities.

Design/methodology/approach

Through literature review, a research model and hypotheses were tested with 122 second graders after robotic activities.

Findings

The hypothesized model showed that learning preference, intrinsic motivation and self-efficacy were the main predictors of coding achievement and computational thinking skills, while no direct relationship was found between learning preference, intrinsic or extrinsic motivation. The final path analysis revealed that intrinsic and extrinsic motivation predict self-efficacy, self-efficacy predicts coding achievement and coding achievement predicts computational thinking skills. Another important finding was the strong impact of self-efficacy on coding achievement, as well as computational thinking skills. Results are interpreted with reference to implications for potential methods of improving computational thinking skills when using robotics in the lower grades in elementary schools.

Research limitations/implications

This study not only examined these relationships but also proposed, tested and built a research model containing a wide range of personal traits based on path analysis and multiple regression analysis, which, to the best of the researchers’ knowledge, has not been investigated in the current literature.

Practical implications

As reflected in the final research model, self-efficacy played an important role in impacting second grader’s coding achievement and computational thinking skills.

Originality/value

Few studies have investigated the various relationships in the context of robotics instruction in elementary schools as in this study. Given the increasing popularity of robotics education in elementary schools, the re-examination and identification of the pivotal role of self-efficacy in predicting second graders’ learning of coding and computational thinking skills have important implications for the implementation of robotics education.

The Impacts of Gender and Subject on Experience of Competence and Autonomy in STEM

In most societies, women are less likely to choose a science, technology, engineering and mathematics (STEM)-related study program than men. This problem persists despite numerous initiatives aimed at fostering the uptake of STEM subjects by women, who represent an underutilized source of talent in a time of great need for STEM professionals. Many reasons for women’s avoidance of the path into STEM-related areas have been discussed, including weaker mathematical skills, implicit gender stereotypes or structural deficits in school education. One variable which is presumably at the core of decisions regarding a specific study subject is motivation. We aim to look in greater depth at the basis for motivation by referring to self-determination theory (SDT). Here, we specifically focus on the needs for competence and autonomy which represent pivotal sources of motivation, effective performance and psychological well-being and are assumed to be positively correlated with academic achievement and perseverance. In line with previous SDT research, we assume that self-perceptions during STEM studies contribute to experiences of competence and autonomy and may be responsible for gender disparities. To examine whether and how a sex-specific perception of autonomy and competence influences decisions regarding STEM subjects, we conducted a survey study of Master’s students (N = 888; 461 female, 427 male), who were enrolled either in STEM or non-STEM subjects, and asked about students’ motivations, perceived competence (e.g., self-efficacy) and autonomy (e.g., volitional decision for a study major). The results revealed several main effects of study major and only a small number of interaction effects of sex and subject. For example, non-STEM students were more likely to enroll due to their stronger interest in their subject, signifying higher autonomy, while STEM students were more likely to select their subject according to their families’ wishes. The comparison between female and male STEM students revealed that males perceived more self-efficacy and reported more leadership aspirations while female STEM students have lower perceptions of their own competence, especially regarding perceived future competences.