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Expansion in higher education and changes in student profiles have led to an increase in non-linear trajectories that do not fit into a time frame considered standard. However, universities continue to establish success and failure parameters relating to performance indicators that do not consider the heterogeneity of trajectories. The theoretical perspective on which we base our work is the complexity approach, which resituates what we understand as a trajectory of success (and failure), incorporating a broader view to better understand how students navigate through higher education. Based on research on university dropout and changes of trajectory, we present the results of a study carried out using sequence analysis in face-to-face and online universities. The research question on which this study focuses is whether, given the context of greater heterogeneity and complexity, there could be a greater similarity between the students' trajectories in face-to-face and online modalities in relation to complex trajectories. The results show that complex trajectories are very present in both modalities, and differences are observed according to students' gender and age. A key conclusion is the discussion on how we consider success and failure student trajectories in the contemporary university taking into account the perspective of complexity.

Although feminist pedagogy has been widely used as a teaching approach in classrooms in higher education to enhance diversity, issues of race and gender are often areas of contestations for non-White faculty. The purpose of this study was to explore how non-White professors, a Black woman tenured full professor and a gay Asian male pre-tenured professor, co-created a feminist classroom and how they negotiated power in that classroom environment. The research questions that guided this study were: 1) what does a feminist classroom look like in higher education; 2) how does the intersection of race and gender influence feminist pedagogy; and 3) what strategies do adult educators and practitioners use to deal with disoriented dilemmas? This research progressed into a longitudinal study, focusing on how the faculty members' praxes grew from critical classroom incidents that the professors believed directly related the negative reactions from students to their positionalities as a Black woman and an Asian man. Three themes emerged from the data: a) Confrontation, b) Resistance, and c) Hostility. Each of these themes are defined and presented through direct quotes from our teaching logs and students' reflections. Discussion and implications for practice are also provided regarding how race and gender matter in feminist classrooms. The concluding section describes how the two faculty members implemented reflective practices in higher education to create feminist classrooms.

Volunteers are noteworthy youth development professionals in the 4-H program whose training translates into practices that promote positive outcomes among young people they serve. This study explored how contextual and programmatic factors were associated with volunteers' practices of the essential elements with youth. Programmatic influences included breadth of volunteer training, tenure in 4-H whereas gender and age were contextual factors. Results supported associations between breadth of volunteer training and the essential element of mastery; this effect was not found with other essential elements. Also, volunteers' tenure in the 4-H program moderated the relationship between breadth of training and practices promoting mastery, with stronger association between training breadth and mastery for less seasoned volunteers. Moreover, among volunteers reporting greater breadth of trainings in the past year, men reported greater levels of facilitating independence than women, an effect not found across the whole sample. Our findings suggest mastery as a relevant essential element retained in training and applied in 4-H volunteers' practice. Implications are discussed regarding volunteer training content and promotion of responsibilities for both new and seasoned volunteers, as well as consideration for possible effects of differences in gender role expectations influencing the practice of promoting certain essential elements.

It is a very important step to consider the variables that affect sibling relationships together. This study aimed to determine the effects of the variables Birth Order (First, Middle, and Last), Gender (Female, Male), and Number of Siblings ("two or three" and "four or more"), which have been suggested to affect sibling relationships in the literature, in young adults. The family is one of the essential components of society. What makes the family is the interaction and communication between mother, father, and children. Sibling relations are an essential part of these. Sibling relations play an important role in individuals' cognitive, mental and social development. It is the research defined to examine relationships. "Lifelong Sibling Relations Scale" was directed to 735 university students in the study. Data were collected from students attending a university in Turkey. The interaction of three variables for the sub-dimensions of the scale and the total scores obtained from the scale were examined separately. Aligned rank transformation ANOVA (ART anova) was used since there were three different independent variables in the study and the values did not show normal distribution. In order to carry out the research, it used the R statistics program and ARTool package. As a result of the research, while the median values of the scores in both the total and sub-dimensions of sibling relationships did not differ according to the interaction of the three variables, a significant difference was found in sibling relationships according to birth order, which is one of the main effects. When the three variables are considered together, it is observed that the highest sibling relationship for both the total score and the sub-categories belongs to female students who were born in the first place and have two or three siblings. It has been observed that individuals with four or more siblings born in the middle have the lowest scores in sub-dimensions except adult cognition. In this study, gender, birth order, and the number of siblings, which is seen to affect sibling relations of young adults in the literature, and the interactions of these variables are discussed. A scale consisting of six sub-dimensions and an overall score for lifelong sibling relations was used in the study. The differentiation of the total score obtained from the scale and its sub-dimensions according to the variables was analyzed.

This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators' attitudes towards AI integration in education. AI language models have the potential to revolutionize educational content creation, personalize learning experiences, and streamline assessment and feedback processes. These capabilities hold the potential to enhance teaching and learning outcomes while catering to the diverse needs of students. However, ethical concerns loom large in the adoption of AI in education. Bias in generated content is a chief concern, as it can perpetuate societal biases and lead to unfair treatment or the dissemination of inaccurate information. The solution lies in rigorous data curation to ensure equitable educational experiences for all students. Moreover, the potential for generating inappropriate or misleading content poses a significant ethical challenge, impacting students' well-being, civic understanding, and social interactions. Safeguards must be implemented to detect and rectify biased or inappropriate content, fostering inclusive and unbiased learning environments. Transparency emerges as a crucial ethical consideration. The opacity of AI models like ChatGPT makes it difficult to comprehend their decision-making processes. Enhancing model interpretability and explainability is vital for accountability and addressing embedded ethical issues. Privacy concerns related to data collection and usage are emphasized in the literature. Clear policies and guidelines must govern data collection, use, and protection, ensuring data is solely employed for educational purposes and maintaining robust data security measures. Our study expands upon these insights by exploring socio-demographic factors, motivations, and social influences affecting educators' AI adoption in higher education. These findings inform institutions on tailoring AI integration strategies, emphasizing responsible usage through training, and assessing the impact on learning outcomes. As educational institutions increasingly embrace AI, including advanced models like GPT-4, a cautious and thoughtful approach is vital. Balancing potential benefits with ethical challenges ensures that AI enhances teaching and learning while upholding fairness, equity, and accountability. In summary, this paper illuminates the potential of AI in education, accentuates ethical concerns, and highlights the significance of understanding educators' perspectives. Collaboration between educators and policymakers is essential to navigate the complexities of AI integration, ensuring that education remains a realm of equitable, efficient, and accountable learning experiences.

Gamification involves making teaching processes fun with the intention of improving factors that affect learning, such as motivation. Although the focus is not on the game itself and the corresponding entertainment, its design and results provide an alternative for developing educational proposals that make students the protagonists and generate student engagement with their education. On that basis, this study aims to understand pre-service primary school teachers' perceptions of gamification as an active methodology, taking the gender and time of analysis variables into account. To this end, a quantitative longitudinal panel design (pre-test and post-test) from a descriptive and inferential approach was applied. The sample consisted of 284 pre-service primary education teachers from the University of Málaga (2021/2022 academic year). The information was collected through a validated instrument that measures perceptions of both digital didactic resources and teaching methodologies. The results revealed positive perceptions of gamification as a methodology, with a significant improvement from the pre-test to post-test scores. As for the analysis of the gender variable, there were significant differences, with the male participants' ratings of gamification being higher than those of the female participants. In conclusion, gamification constitutes a feasible methodology to implement due to being well-received by university students, as a result of its motiving and fun nature and the fact that it makes students the protagonists of the learning process.

Artificial Intelligence (AI) is increasingly prevalent, permeating various aspects of and spreading across education. However, a comprehensive understanding of AI applications and how to define AI literacy is under-investigated. On this note, teaching and evaluating AI literacy necessitates educators to integrate it into course content. The implementation and use of AI are reshaping college students' learning experiences. Limited efforts have been made to promote AI literacy for individuals at academic institutions. This study aims to investigate college instructors' perspectives on AI integration in curriculum design at a higher education institution, Palestine Technical University Kadoorie (PTUK). A mixed study approach is used with a pre-existing questionnaire containing 14 items in this study and 17 semi-structured interviews. The data were collected from nine different departments at PTUK. The target population consisted of 176 college instructors. The results revealed that college instructors perceive AI literacy as a weak element in the curriculum. Two themes merged from qualitative data: accomplishing educational goals, and lack of AI guidelines and concepts. Recommendations include the necessity to incorporate AI literacy curriculum design in higher education contexts in different disciplines.

A study on the digital wisdom of primary school teachers in Penang, Malaysia was conducted with 372 participants. A research questionnaire was used to collect data, and the findings suggest that most teachers moderately practice digital wisdom in their classrooms. The study also found that digital status has a significant but weak relationship with digital wisdom, while age has a significant and moderate relationship with it. However, there is no significant relationship between school location and gender with the practice of digital wisdom. Experience has a significant and moderate relationship with digital wisdom, while education level has no relationship. Overall, the results provide insights into teachers' digital wisdom levels and how they relate to demographic profiles.

Gender disparity in education begins in the early years of education with the ignorance of genderresponsive instructions. Despite progress being made toward gender parity, inequalities persist in boys' and girls' education, particularly in developing nations. Rwanda addressed this issue by integrating gender into its curriculum. However, the implementation requires teachers' proficiency in gendersensitive instructions that prevent gender inequality in the teaching process. To enhance teachers' understanding and application of gender-sensitive instruction, the African Institute for Mathematical Science, through its Teacher Training Program [AIMS-TTP], supported by the Master Card Foundation, trained teachers on gender-responsive pedagogy. Therefore, this study examines trained teachers' understanding and implementation level of gender-responsive pedagogy in the teaching process after attending AIMS-TTP training. The study was conducted in 14 districts of Rwanda, and a web-based survey design was used to collect data from 351 teachers selected through purposive and random sampling. They completed a gender-responsive pedagogy questionnaire with a Cronbach alpha reliability of 0.71. Data were analyzed using Microsoft Excel 2016 for descriptive statistics and STATA v.18 for hypothesis testing. Results showed that both male and female teachers hold high levels of understanding and application of gender-responsive pedagogy, with over 80% agreement. No statistically significant difference in understanding and application of gender-responsive pedagogy was found between teachers based on gender, school location, school type, and teaching experience. Statistical comparison of teachers' agreement using the chi-square (X [superscript 2]) test showed a p >0.05. The findings imply that training positively impacted teachers' understanding and application of gender-sensitive pedagogy. Therefore, we recommend expanding such training in other districts where interventions were not implemented.

The COVID-19 epidemic has impacted higher education institutions across the country by switching traditional teaching practices to online learning. The attitudes of students towards elearning are essential to research in order to determine the extent to which successful implementation of online learning. Thus, this research aims to evaluate the attitudes of Indonesian students towards e-learning throughout the pandemic. The study adopted a quantitative research approach through a survey questionnaire. The attitude of students was evaluated using the attitude scale towards e-learning. The questionnaire comprised 20 items assessing students' attitudes towards remote learning. A questionnaire was distributed to 342 (255 female and 87 male) undergraduate students who took online courses at an Indonesian state university. The statistical analyses including descriptive statistics, t-tests and one-way ANOVA were used in the present study. The results suggested that students' e-learning attitudes tend to be neutral. The ttest and ANOVA indicated that there was no statistically significant gap in students' attitudes with respect to gender, daily internet usage time or level of COVID-19. Meanwhile, age, study year and personal computer ownership exerted a statistically significant impact on e-learning attitudes. Teachers can better prepare for the adoption of online learning during COVID-19 and beyond by using the valuable insights provided by the findings.

This study examines longitudinal associations among reading skills, math skills and emotional well-being in a Finnish sample (n = 586) followed from the end of comprehensive school (Grade 9, age 15-16) to age 20. In particular, we determine whether the associations between skills and well-being are mediated by self-concept beliefs. In Grade 9, the participants' reading fluency, PISA reading comprehension and math skills were assessed in classrooms, and questionnaires were used to assess self-concept (global and skill-specific) and internalising problems. At age 20, questionnaires were used to self-report emotional well-being and educational attainment. The results showed no direct predictive association between academic skills and age-20 emotional well-being, while indirect effects from academic skills on emotional well-being were found for reading skills through reading comprehension self-concept belief and educational attainment and for math skills through global self-concept belief. In addition, adolescent global self-concept and internalising problems predicted age-20 emotional well-being. The results suggest that adolescent self-concept beliefs and internalising problems, rather than academic skills per se, can predict emotional problems in young adulthood.

This paper uses quantitative analytics to study talk-based participation in 100 mathematics classrooms across one racially diverse urban school district in the USA. Using the EQUIP observation tool and hierarchical linear modeling, we characterize the quantity and quality of participation for students across 3025 coded turns, by race and gender. We found that in general, boys participated significantly more than girls. We also found that Latinx and Asian/Pacific Islander students had significantly fewer turns than Black and White students. To interpret these findings in context, we analyzed interviews from 29 district leaders using a poststructural framework organized around D/discourse.

Friendships are important for the mental well-being of emerging adults. Socially prescribed perfectionism, where individuals feel pressured to be perfect by others, can be destructive, leading to conflict with others, depressive symptoms, and problematic drinking. However, its impact on friendships is not well-explored. This study examined 174 emerging adult friendship dyads using a 4-wave, 4-month dyadic design. Data were analyzed using longitudinal actor-partner interdependence models. Using a novel friend-specific measure of socially prescribed perfectionism, we found that an individual's perceived expectation to be perfect from a friend was positively associated with increased conflict between friends, as well as with higher levels of depressive symptoms and problematic drinking in the individual. Findings lend credence to longstanding theoretical accounts and case histories suggesting socially prescribed perfectionism leads to harmful individual and relational outcomes and extends them to the specific context of friendships.

Great effort has been invested in increasing STEM achievement among students, but feelings of low status among underrepresented or otherwise vulnerable students may be creating additional challenges. The present study assessed how perceptions of social status within the classroom--termed subjective social status--aligned with objective course performance and differed by sex, first-generation status, work status, and race/ethnicity among 713 students enrolled across three introductory statistics classes. Findings indicated that final exam score was moderately related to ratings of subjective social status, suggesting that factors besides objective course performance may influence classroom subjective social status. When asked to explain how they evaluated their standing in the course, students reported five main themes, including both academic achievement with respect to exam scores and their understanding of course content. When examining differences by status-based identities in subjective social status, we found that female and first-generation students had lower subjective social status compared to their male and continuing-generation peers, although results were less robust for first-generation status. Likewise, working students reported lower subjective social status relative to non-working students, despite showing no difference in final exam score. In contrast, although Asian/Asian American students outperformed Latine students, there were no differences in reports of subjective social status between Asian/Asian American, Latine, and white students. Taken together, results suggest that factors beyond course performance may relate to students' subjective social status, and subjective social status may contribute to disparities in academic performance, especially by sex and work status. [Page range listed on publisher's website incorrect, correct page range is p1921-1946.]

The status of women in academia, including comparative education, has grown rapidly. We build on the extensive literature on women's work in the academy by investigating the macrohistorical cultural processes that promote expanded emphasis on feminist, gender, sex, and sexuality (FGSS) topics in comparative education. We use computational methods to investigate the expansion of published knowledge about FGSS in the content of "Comparative Education Review" and "Comparative Education" over the period 1957-2010. Findings reveal a significant rise in FGSS emphasis starting in the 1970s, peaking in the 1980s, and then declining. The study supports the hypothesis that women authors initially drove this increase, but over time, the distinction between male and female authors regarding FGSS emphasis shrinks. The results are interpreted through the lens of neoinstitutional theory, suggesting that as the status of women expanded in liberal world culture, women authors, and FGSS research gained legitimacy, supporting the general increase of FGSS research.

Dropout is a problematic issue in education due to its high prevalence and impact on students and society. In fact, it can limit students' future options, and it involves a substantial cost for public budgets in most countries. This is not an easy problem to solve, since student dropout is a complex decisional process involving such factors as personal and contextual characteristics, educational variables, and psychosocial aspects. Very few studies have examined whether sociodemographic and psycho-educational variables affect educational dropout at different academic levels. For this reason, the present study aims to provide a better understanding of the role of several variables (age, academic results, gender, sexual orientation, academic help-seeking, academic self-efficacy, and planning as a strategy to cope with academic stress) in educational dropout thoughts in a sample of 759 students resident in Spain (age: M = 22.91, 74.0% women). Regression analyses showed that dropout thoughts were significantly predicted by academic results, planning, sexual orientation, academic self-efficacy, and academic help-seeking. Agreements and discrepancies with previous research are discussed. The results of the current study can be used by educators, policy makers and institutions to develop programmes to reduce student dropout by enhancing self-regulated learning strategies.

Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster female college students' math performance and STEM experiences. What is less clear is how students at intersecting identities of gender, ethnicity, and math identification differ in their similarity perceptions of female peer role models (PRMs) as well as how the PRMs' ethnicity and background information (i.e., academic-related and personal-related) influences students' similarity perceptions. In the current work, Latina and White female PRMs gave two presentations in college Calculus classes over the course of one semester. After the second presentation students completed quantitative and qualitative measures to assess perceived similarity with the PRMs. Across both measures results showed that: (1) students generally perceived themselves to be similar to PRMs; (2) students felt more academically than personally similar to PRMs; (3) when the PRMs' ethnicity matched the students' ethnicity the academic-personal similarity difference was smaller; and (4) depending on students' gender and level of math identification their similarity perceptions differed. Given PRM similarity has been shown to be a significant factor in the effectiveness of PRMs these findings emphasize the importance of considering students' intersecting identities and PRM background information when attempting to highlight similarity with PRMs.

Despite initiatives by key actors in the last two decades, Early Childhood Development in Ghana, measured by physical, cognitive, linguistic, and social-emotional development of children up to 8 years of age, remains poor. This study aimed to assess Ghana's Early Childhood Development (ECD) status and determinants by analyzing the Ghana Multiple Indicator Cluster Survey 2017/18 data. Among the 3801 Ghanaian children (35-59 months; 1880 males), 42.7% were developmentally on track in literacy-numeracy, 93.6% in physical, 68.2% in social-emotional, 82.3% in learning, and about 67% in at least 3 of the 4 domains. Multiple logistic regression analyses suggest a positive association between ECD and female sex of children, their age, mothers' attendance in any ECD programs, mothers' educational qualification, and household wealth. On the other hand, evidence of a negative association was observed between ECD and child disability, stunting status of children, maternal disability, the number of days children were left alone for more than an hour, and residence in a rural area. The level of maternal education may be implicated in ECD policies as it affected several ECD domains.

Autism screening questionnaires are sometimes used as a measure of "autism-associated traits" in samples drawn from the general population, even though such tools are primarily developed and designed for use in samples of children diagnosed with or being assessed for autism. Here, we explore the psychometric properties of the Social Communication Questionnaire (SCQ) current version reported at age 8 in a large population-based sample. Using data from the Norwegian Mother, Father and Child Cohort study (MoBa), we perform exploratory (N = 21,775) and confirmatory (N = 21,674) factor analyses on items and compare our results with previously suggested factor structure models of the SCQ. Furthermore, we test for measurement invariance across sex and registry-ascertained autism diagnostic status (N[subscript diagnosed] = 636). A 5-factor model provided best fit to the data in both children with and without autism diagnoses, though with some qualitative differences in what the factors represent across these groups. This model performed largely consistently across boys and girls in the general population. Taken together, the SCQ's measurement properties must be carefully considered when it is used in population-based samples and measurement invariance testing of other autism screening tools used in similar contexts is warranted.

In this paper, we explored how political knowledge related to generalised prejudice, defined as the common variance of three highly correlated specific prejudice concerning ethnicity, gender and sexual orientation. We aligned our hypotheses with the Cognitive Ability and Style to Evaluation (CASE) model, which postulates the mechanism underlying the relationship between individual-level cognitive variables and intergroup outcomes. As knowledge in its many forms correlates with and serves as a proxy of cognitive abilities, we hypothesised that political knowledge, when considered a precursor of prejudice, can be expected to act similarly to cognitive variables within the CASE model. We performed an empirical test of the hypothesised relationships on a nationally representative sample of Croatian students in their final year of secondary education (aged 17-19). As expected, there was a significant negative association between political knowledge and generalised prejudice, both direct and indirect via right-wing authoritarianism. Youth with higher political knowledge had significantly lower levels of generalised prejudice. In addition, while there were differences in the overall levels of political knowledge, right-wing authoritarianism and generalised prejudice between students attending different secondary education programmes, the pattern of relationships between these concepts was found to be stable across educational settings.

This study sought to develop an Academic School Climate Scale measuring students' perceptions of the learning environments at their schools. With a pilot sample of 1,265 students and validation sample of 14,773 students in Grades 4-12 in schools across the U.S., results of EFA and CFA supported a bifactor model with a general factor and three subscales: High Standards, Teacher Support of Student Learning, and Peer Support of Learning. We found scalar invariance by gender and race, and metric invariance by grade band. Correlations of the Academic School Climate Scale with open classroom climate and school climate indicated concurrent validity.

To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low levels of transmission error and recall bias. For this method to be precise, a set of names needs to be selected for the survey that jointly represents the population in relevant variables such as gender or age. This article provides a solution approach to finding the optimal set of names. This can be applied to any population for which a joint distribution of first names and relevant variables is available. We show that our approach successfully provides sets of names closely mirroring the population distributions for six countries with different name statistics.

The purpose of this study was to examine how the members of children's peer groups resemble each other in terms of behavioural and emotional strengths, academic achievement and behaviour at school. The participants were 739 9- to 10-year-old children (354 boys, 385 girls) from 30 Finnish elementary schools. 431 children (241 girls, 190 boys) were part of peer groups. Less than 5% of participants were other than Finnish origin. The children self-assessed their behavioural and emotional strengths, and teachers evaluated the children's academic achievement and behaviour at school. Children also filled the sociometric questionnaire and sociograms were drawn to identify peer groups. Standardized beta values of regression analyses were used as indicators of effect sizes. The results showed that when observed as a strength, children's school functioning was positively linked to both academic achievement and behaviour at school. The intraclass correlations (ICC) revealed that members of peer groups resembled each other in terms of behavioural strengths, and behaviour at school, but not in academic achievement. The gender composition of peer groups explained the variance in behaviour at school between peer groups. The results of this study highlight the importance to consider children's peer group also when implementing behavioural interventions.

We summarize national-scale data for Ph.D. earners in engineering or computer science from 2015 to 2019 whose post-graduate school employment is known, highlighting outcomes for biological/biomedical/biosystems engineering students. We use NSF's Survey of Earned Doctorates (SED), which has collected information from Ph.D. recipients in the USA since 1957. The data are collected at the time of degree completion and constitute a greater than 90% response rate. Compared to all engineering and computer science disciplines, biological/biomedical/biosystems engineering has a higher proportion going to 4yr/med/research institutions (52% vs. 33%) and non-profit (3.6% vs. 2.9%) and lower proportion going to industry (33% vs. 48%), government (4.3% vs. 8.4%), and is similar for non-US positions (6.1% vs. 5.7%). Compared to 2010--2014 biological/biomedical/biosystems engineering Ph.D. recipients, more 2015--2019 recipients are going to industry (25% to 33%) and fewer to 4yr/med/research institutions (59% to 52%) and government (5.3% to 4.3%). Across all engineering and computer science disciplines, a smaller proportion of females entered industry (43%) compared to males (49%), while a larger proportion of females entered 4yr/med/research institutions (37%) compared to males (32%). Over half of Asian doctoral recipients entered industry, as compared to 38% of Hispanic doctoral recipients. In contrast, a higher proportion of Hispanic individuals (37%) entered 4yr/med/research institutions after their doctoral programs, as compared to 31% of Asian doctoral recipients. Black doctoral recipients had the highest proportion enter positions in government (14%) and non-profit (4%) sectors. Our results are situated in the broader literature focused on postdoctoral career, training, and employment sectors and trends in STEM. We discuss implications for graduate programs, policymakers, and researchers.

Biomedical engineering is a broad and interdisciplinary field that prepares graduates for a variety of careers across multiple career sectors. Given this breadth, undergraduate degree programs often have formal or informal opportunities for students to further specialize within the biomedical engineering major to develop skills in subdisciplines of biomedical engineering. While previous work has explored factors that influence student decision-making of engineering major choice, including the role of gender, limited work has explored factors that influence intra-major specialization in biomedical engineering. The present study sought to expand on existing research to understand factors that influence biomedical engineering students' choice of intra-major specializations and how, if at all, these factors are related to gender. Grounded in social cognitive career theory, the present study leveraged quantitative surveys from undergraduate biomedical engineering students to understand factors influencing intra-major specialization choice, including the impact that students viewed on their career plans. Participants rated multiple factors as important in their intra-major specialization decisions, with professors/classes rated as the most important influence and alumni as the lowest. Similarly, participants rated multiple outcome expectations of their specialization, although income was rated lower than other factors. Participants most commonly indicated interest in pursuing careers in industry and medicine. We found some differences in intra-major specialization, outcome expectations, and career interests by gender, with women students indicating a higher influence of professors/classes and higher expectations for their track decision to provide a career with a good income. Further understanding of how undergraduate students select specializations in engineering coursework will inform curriculum design and student advising.

The purpose of this research is to explore the differences in perceived opportunities and potential barriers leading to inequality in our higher education system. To do this, we examine differences in satisfaction and expectations that exist among college students based on three key heterogeneous characteristics - gender identity (male vs. female), major declaration (decided vs. undecided) and generation (first generation vs. non-first generation). Six hundred twenty-five students completed a survey about the level of importance and satisfaction with educational services at their institutions. A mixed method design including analysis of variance (ANOVA) was used to test differences between students. At a time where universities are working arduously to increase enrolment numbers, adjusting the strategy to cater to the unique needs of students may prove to be part of the solution and more importantly, help remove barriers to lessen the current inequalities and improve access to education for all types of students.

This paper explores young people's understandings of gender and investigates their gender-based experiences in high schools in Australia. The discussion is based on qualitative research including focus groups and interviews with 47 recent high school leavers from diverse linguistic, socioeconomic, religious, ethnic, gender and sexuality backgrounds, who attended a broad range of high school types in New South Wales (NSW). We found that young people are critically engaging in gender issues and are often challenging binary gender and associated inequitable practices in schools and beyond. They are taking a leading role in educating adults about gender--that is, they are 'teaching up', as young people conceptualised it, to their families and teachers about gender, gender-related issues and doing gender differently in contemporary times. Their views on gender are often in contrast to those institutional views that currently prevail in NSW schools, which often still reflect stereotypes that perpetuate gender inequalities.

Understandings of gender diversity have increasingly recognised the rights and experiences of children and young people (Meyer & Pullen Sansfaçon, 2014, Smith et al., 2014). A small, but significant body of work focusses on the schooling experiences of gender diverse children/young people. The critical role parents play in supporting gender diverse children/young people is acknowledged (Davy & Cordoba, 2020; Riley et al., 2011), including their involvement in negotiating schooling. This research uses a qualitative research design to explore the schooling experiences of five parents with gender diverse children, attending primary or secondary schools in New South Wales, Australia. A feminist poststructuralist framework was used to analyse the complex factors that influenced school choice, and to explore the challenges or opportunities they had encountered during their child's schooling years. The participants in this study highlighted the qualities of schools they believed to be inclusive, which affirmed their own school choice. However, participants also reflected on their sense of rejection when their children were not accommodated at school, or when they had to find a new school. Negotiations around school choice were made easier with economic and social capital. These findings highlight the layered inequalities of the Australian educational marketplace.

Research on violence in schools has been dominated by 'bullying' discourse and methodologies that place individualised pathos at the centre of problematic behaviours. This focus has resulted in the neglect of broader structures of power such as gender, sexuality, race, ethnicity, and class in the violence enacted and encountered by young people. As a result, institutional solutions to school violence have often failed to acknowledge and respond to the ways that gender and sexuality might operate in the lives of young people, instead offering simplistic strategies to reduce ubiquitous forms of 'bullying'. Simultaneously, political discourses and research challenges further prohibit young people from contributing to targeted and critical interventions into the socio-cultural practices of gender- and sexuality-making in schools. As outsiders to these nuanced, complex, and dynamic spaces, university-based researchers often lack vocabulary and literacy, especially in relation to always-shifting meanings around gender and sexuality. In this paper, I argue for the need to actively include young people in research praxis to co-investigate school cultures of gender and sexuality using a Community-Led Research (CLR) approach. Reporting on work with ten student co-researchers that formed two groups in two schools in Australia, the paper details some of the ways that they impacted and benefitted the early phases of a three-year project, including through impacting methods, participant engagement, data analysis and the implementation of new strategies to improve school cultures of gender and sexuality. This article also illustrates some of the challenges and opportunities that CLR methodologies produce when working in less structured settings, including ethical and social challenges that emerge in iterative research praxis. Findings argue for the rights of young people to exert their hopes for their school cultures that relate to gender and sexuality, particularly through research-based empowerment. While often slower and more difficult, co-researching with young people can produce opportunities for transformation and change not only of research processes, but also of researchers and their communities.

Due to limited research on Black girls in science education, this study focuses on the forms of capital Black girls cultivated through their participation in a community-based STEM after-school program. The study drew from the interviews and a focus group session of 10 Black girls and investigated their formal and informal experiences in science. Using intersectionality and community cultural wealth as theoretical perspectives, findings revealed that multiple forms of capital (aspirational, social, navigational, and familial) were fostered and interconnected throughout the program. The intersections of race and gender were also prominent contributions to the multidimensional, nuanced ways Black girls experience and flourish in STEM education. Implications and recommendations for future research on Black girls in science are discussed.

Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and analysis of their online systems modeling processes can improve their ST. Research Questions: 1) What is the effect, if any, of online learning on the ST and conceptual modeling skill levels of undergraduate engineering students? 2) What differences are there, if any, between students' ST, conceptual modeling, and scores in textual, visual, and mixed question types based on their prior knowledge levels? and 3) Are there any gender differences in student performance, and if so, what are they? Methodology: The research participants were 157 undergraduate engineering students who took part in a mandatory second-year course, during which data were collected and analyzed quantitatively. Findings: Students with disparate prior knowledge differed significantly from each other in their overall ST mean score and in the mean scores of the various question types. Gender differences in ST and its relative improvement were also found.

Research on gender issues and mathematics education is often conducted in classroom settings and/or with teachers, students, and parents. However, perspectives about mathematics from adults beyond teachers and parents can have an impact on students. Thus, we conducted research in Australia and Canada about the general public's views of gender and mathematics. Participants (n = 405) were surveyed using a questionnaire in which all questions were worded in a non-binary manner. In this article, we focus on participants' views about gender and mathematics ability, and the importance of studying mathematics by gender. We report both overall trends and trends by demographic group (country, gender, age, and education level). The majority of participants indicated that there was no relationship between gender and mathematics ability or between gender and the importance of studying mathematics. Participants with gendered views typically felt that boys/men/males are better at mathematics and that it was more important for girls/women/females to study mathematics. Although the findings were generally encouraging, the existence of sexist, stereotyped views highlights the need for additional work to probe people's views of gender and mathematics. Our study is an example of mathematics education research conducted in a gender-inclusive way.

Exploring student motivation to learn is a research area that has rapidly expanded over the past decade, especially as the COVID-19 pandemic continues to influence education. In the field of anatomy, most research about motivation to learn targets medical and other health professional students, but little is known about factors that drive students enrolled in science degrees. The aims of this mixed-methods study were to determine: (1) what motivates undergraduate university science students to learn anatomy, and whether motivation differs between cohorts (second- and third-year) and gender; and (2) the impact of COVID-19 on motivation to learn. Students (n = 171) completed a survey (the Science Motivation Questionnaire II [SMQII] and questions about learning experiences during the pandemic) and a subset (n = 12) participated in focus groups/interviews. Quantitative data were analyzed using a combination of parametric and non-parametric statistics, and a general inductive approach was applied to qualitative data. Grade, intrinsic, and career factors were consistently identified as the key components of motivation. No statistically significant differences were found for motivation components between level of study or gender. Students reported that the COVID-19 pandemic negatively impacted motivational components, but it had also fast-tracked the development of online learning, with both positive and negative connotations. Students value traditional in-person lectures but support a blended approach of traditional and online teaching methods for learning anatomy. Educators should utilize these findings when considering how to teach and support science students in ways that embrace motivational components to foster success in those studying anatomy.

In this paper, we analyse a group of 6 and 7 year olds' interactions during a literacy event. We explore the complexities of their meaning-making following a read aloud of Where the Wild Things Are (Sendak 1963). Our focus is on discourses of gender/sex/uality, a term that acknowledges the complex relationship between gender, sex and sexuality, and how these discourses are enacted. Our guiding question was: How did discourses of gender/sex/uality circulate in this group of young children's multimodal and playful responses to a literacy event? By considering the relationship between reader response, play and gender/sex/uality, we gained insight into how children's responses to texts are connected to their own identities and lived experiences. We used critical multimodal discourse analysis to understand the children's meaning-making processes. This revealed how the children were drawing from varying scripts to inform their play and creative processes. The children referenced gender/sex/uality to collaborate, to compete and to seek inclusion or status in the group. We discuss four children who drove this collective dialogue and who guided the group's interactions. Another child's responses pushed against and evolved in tandem with the emerging consensus. This study deepened and expanded our consciousness of children's enactments of gender/sex/uality and how such enactments reinforced heteronormativity. The children's artefacts, actions and talk are testimony of dominant discourses that guided and ultimately led them to adopt storylines that aligned with heteronormative scripts. Our analysis of how the children's responses unfolded revealed how power asymmetries were reinforced and hegemonic ideologies persisted. Understanding the influences of social norms during interactive literacy events may help educators create opportunities for all learners to write themselves into these events and classroom interactions more broadly.

Digital Gender-Based violence (DGBV) is a social problem affecting overproportionally younger people, especially women and LGTB. Training programmes to combat DGBV are recommended but we lack evidence-based evaluation of them. We evaluate a series of trainings at university for all participants (N = 190), taking into account gender and sexual orientation. A multimethod approach is used. Training is assessed with a pre-/post-test survey on DGBV concerning content and skills, including items and open boxes on overall satisfaction. We also include observations of the workshop and students' reflections. We measure learning outcomes and satisfaction for the whole sample, as well as differences for gender and sexual orientation. Previous knowledge confirms the need for training programmes on DGBV. The difference between previous and subsequent knowledge proves that short training programmes on DGBV can improve students' knowledge of DGBV. We could not find differences between genders, but there are some differences based on sexual orientation.

Research has shown that some students who underperform in mathematics overestimate their performance, while others who excel in mathematics underestimate it. Looking at this mismatch of performance and confidence judgement--the Dunning-Kruger effect (DKE)--the current study investigates how well students' confidence judgement and item-specific mathematics competence relate with each other and whether such a relationship differs across six European countries (i.e., Norway, Sweden, Finland, Estonia, Serbia and Portugal). We also examine whether perceived competence, mathematics identity, gender, socioeconomic status and immigration background predict this mismatch and whether these demographic factors function differently between the examined countries. The results show that the DKE could be found across grades three and four in all six countries. However, there are country-specific patterns regarding the relationship between performance, mathematics identity and perceived competence; the DKE; and how different demographic variables predict its occurrences in particular subpopulations.

This study examined how well people can recognize and relate to animated pedagogical agents of varying ethnicities/races and genders. For both Study 1 (realistic-style agents) and Study 2 (cartoon-style agents), participants viewed brief video clips of virtual agents of varying racial/ethnic categories and gender types and then identified their race/ethnicity and gender and rated how human-like and likable the agent appeared. Participants were highly accurate in identifying Black and White agents but were less accurate for Asian, Indian, and Hispanic agents. Participants were accurate in recognizing gender differences. Participants rated all types of agents as moderately human-like, except for White agents. Likability ratings were lowest for White and male agents. The same pattern of results was obtained across two independent studies with different participants and different onscreen agents, which indicates that the results are not solely due to one specific set of agents. Consistent with the Media Equation Hypothesis and the Alliance Hypothesis, this work shows that people are sensitive to the race/ethnicity and gender of onscreen agents and relate to them differently. These findings have implications for how to design animated pedagogical agents for improved multimedia learning environments in the future and serve as a crucial first step in highlighting the possibility and feasibility of incorporating diverse onscreen virtual agents into educational computer software.

Extant literature has demonstrated that children's diurnal stress physiology often looks different on childcare versus home days. Specifically, children experience a rise in cortisol, rather than a decline, over the day while in full-time care. Additionally, temperamental fit within classroom environment may influence both child and teacher cortisol and outcomes. The current study investigated whether teachers' cortisol levels (n = 11) were associated with child cortisol levels (n = 71, mean age = 4.18 ± 0.81, 51% female) in the classroom while taking into account temperament, child sex assigned at birth, and classroom quality. Cortisol samples were collected on consecutive days at home and childcare for children, and at childcare for teachers. We hypothesized that (1) teacher cortisol will predict child afternoon cortisol, (2) that a portion of the variance in this relationship will be accounted for by classroom quality. Using a cross-sectional design, children in this sample had higher cortisol values in the afternoon while at childcare than at similar times of day at home. Teachers demonstrated a typical diurnal decline across the day but variation in total cortisol output at childcare. Two distinct predictors of afternoon cortisol levels were identified in children attending childcare: child age and mean teacher cortisol levels across the day, while negative affect and classroom quality were not significant. Younger children and children whose teachers had higher mean cortisol levels were more likely to have high afternoon cortisol at childcare. Higher diurnal cortisol values for teachers may indicate a higher stress environment for both teachers and children. These preliminary findings suggest that teacher stress may not only have implications for children in terms of teacher burnout, high staff turnover, and learning, but possibly also for children's health and well-being. Implications for research and policy, as well as limitations and strengths, are discussed.

Background: Delinquent behaviours among youth harms health and social trajectories, and public health broadly. Despite evidence that engaging in and being victimized by delinquent behaviours often cluster, most studies have examined the clustering of delinquent behaviours or victimization experiences independently. Information on patterns of co-occurrence is crucial to design appropriate interventions. Objectives: The primary purpose was to identify latent classes of delinquency and victimization among youth from the general population. The secondary purpose of this study was to examine associations of individual, household, and classroom covariates on latent class membership. Method: The sample consisted of 1948 youth aged 4-14 from the 2014 Ontario Child Health Study. Latent class analysis was performed to identify patterns of delinquent behaviours and experiences of victimization, while multinomial regression was conducted to examine how covariates were associated with likelihood of class membership. Results: The analysis identified four classes of youth in the OCHS sample: (1) low delinquency and low victimization (75.4%), (2) moderate victimization and moderate school delinquency (7.8%), (3) high victimization and moderate home delinquency (11.8%), and high victimization and high home and school delinquency (5.0%). Youth sex, household income, ethnicity, parental education, and parental depression were associated with differences in class membership. Conclusions: Approximately one quarter of youth engaged in delinquent behaviours, with patterns of co-occurrence suggesting these youth engage in delinquent behaviours and are victimized by delinquent behaviours across environments. Interventions should approach youth delinquency and victimization as a spectrum of clustered behaviours and experiences in these environments.

We examined the relationships between high school CTE participation and indicators of career and college readiness using 2009 High School Longitudinal Study restricted-use data. Regression analyses of 2009-2018 data revealed significantly lower dropout rates for CTE participants, but only White CTE participants experienced better employment likelihood. CTE participants were mostly employed in service or manual labor occupations with below average wages and were significantly less likely to attend a 4-year college. CTE benefits were disproportionate by race and gender, and participation may have a "cooling out" effect on the aspirations of some students. Advising and urban education implications are discussed.

Cisheteronormative ideologies are infused into every aspect of society, including undergraduate science. We set out to identify the extent to which students can identify cisheteronormative language in biology textbooks by posing several hypothetical textbook questions and asking students to modify them to make the language more accurate (defined as "correct; precise; using language that applies to all people"). First, we confirmed that textbooks commonly use language that conflates or confuses sex and gender. We used this information to design two sample questions that used similar language. We examined what parts of the questions students modified, and the changes they recommended. When asked to modify sample textbook questions, we found the most common terms or words that students identified as inaccurate were related to infant gender identity. The most common modifications that students made were changing gender terms to sex terms. Students' decisions in this exercise differed little across three large biology courses or by exam performance. As the science community strives to promote inclusive classrooms and embrace the complexity of human gender identities, we provide foundational information about students' ability to notice and correct inaccurate language related to sex and gender in biology.

Given the need for a swift, systematic way to identify students with internalizing and externalizing behavior patterns to connect these students with appropriate supports, we present new findings of the Student Risk Screening Scale--Internalizing and Externalizing (SRSS-IE). In this article, we examined (a) factor structure of the SRSS-IE and (b) the extent to which measurement invariance holds across gender, special education status, race, and ethnicity, as well as time point (fall, winter, spring) within each school level (elementary, middle, high). The sample includes 124 schools from four U.S. geographic regions in their first year of implementing the SRSS-IE collected over a 10-year span. Using confirmatory factor analysis procedures accounting for the nesting of students within teachers' classrooms, we confirmed a two-factor structure (internalizing and externalizing) and determined three items may be removed from the instrument while maintaining adequate model fit, pending replication with schools in later stages of screening implementation. All model comparisons between configural, metric, scalar, and strict models met invariance criteria within a time point. Longitudinal models also met these invariance criteria. We discuss educational implications, limitations, and directions for future research.

This research analyzed the predictive effect of personality types on online unethical behaviors and the relationship between these two variables. Online unethical behaviors are discussed in terms of gender, educational level, and ethics course experience. The study group of the research conducted in the correlational survey model consisted of 269 female and 261 male university students studying at the associate and undergraduate levels. The research data were collected using the Five Factor Personality Scale and the Online Unethical Behavior Scale. Correlation, independent samples t-test, and stepwise regression analysis were used in the data analysis. As a result, agreeableness and conscientiousness personality types were found to predict online unethical behaviors. Further, the correlation analysis results indicated that all personality types except neuroticism had a negative and significant relationship with online unethical behaviors. Additionally, the t-test results suggest a significant relationship between gender and online unethical behaviors. Overall, the study concluded that there was no significant relationship in terms of ethics course experience and educational level. The findings were discussed within the literature framework, and suggestions are given.

Social networks integrate adolescent daily life by configuring modes of socialisation, negotiation and self-representation through different practices that operate as subjectivation resources and condition the gender experience. The objective of this study is to explore the production of selfies and videos among adolescents from Puebla (Mexico) and Galicia (Spain) from a gender, territorial, and sociocultural perspective. A survey study was carried out using an online questionnaire designed ad hoc and applied to 6,654 adolescents (14-17 years), with different gender identities, from public secondary schools in Puebla and Galicia. The results show that the selfie is a more widespread practice among adolescents than video, with revealing differences in its production. Similarities are evident in the level of preparation and the motivations that lead to these practices. Gender differences are found in their production in terms of intentions, materialities, and body expression. The family's sociocultural level and the territory are visualised as realities that affect the production of these practices. The conclusions point to a transition of knowledge and meanings between the selfie and video and the relevance of analysing gender experience on social networks in light of the forms of power they exercise there.

The presence of cyberspace in the lives of young people is such that we can no longer distinguish between online and offline spheres. They live a process of onlife development that is not always equitable in terms of gender. This paper aims to account for the online behaviour of Spanish adolescents according to gender and age, the decisions they make when constructing their virtual identity, and the effects that this has on them. A quantitative study has been carried out at a national level (N=2,076, 12-18 years old) following a non-experimental ex post facto design by means of a survey study. The results show that there are gender differences in the preference for one or other social network. A high percentage of girls make different choices when it comes to their online presence. Unlike boys, girls state that their virtual self and their behaviour significantly influence the opinion that they have of themselves and their need to feel integrated. In conclusion, the decisions that adolescents make when creating their virtual selves do not only have negative consequences derived from poor management, but are also plagued by mandates and stereotypes that determine how they should be and what they should do online; something that is especially pressing for girls.