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Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower rates of disengagement at both the individual and classroom level. In two samples from 16 German middle schools (n[subscript 1] = 255, n[subscript 2] = 287) with high annual dropout rates (> 10%), we assessed three disengagement facets: affect (daily mood at school), cognition (amotivation), and behavior (truancy). To examine both the individual and the classroom level, we utilized a 2-level mixed model. Gender, grade-level, and migration background were controlled in both samples, and economic learning resources (ELR) were included in sample 2 to better control for socioeconomic influences. In Study 1 (24 classrooms), we found a significant, positive association between social identification and daily mood at the individual level. In Study 2 (21 classrooms), we replicated initial findings for daily mood. In addition, social identification also impacted amotivation. At the class level, a higher grade, and a higher proportion of students with migration background were related to increased truancy. Classroom climate did not show a significant effect on disengagement in either of the studies. Our study sheds further light on the social dynamics of disengagement and highlights the need to control for classroom dynamics and student composition, particularly in classrooms with diverse student backgrounds.

In this article, we explore the drivers of students' success in a first-year university statistics course. Using a unique sample from Westminster International University in Tashkent, we discover that student engagement with their studies is reflected in their class attendance and in the use of online resources, which continue to play an important role in their academic performance. Moreover, we discovered that socio-demographic factors such as age, gender, marital status, employment, and language of instruction of prior schooling are significant in explaining student academic outcomes. These factors have important policy implications for both the university and the broader national level.

Strengthening parent support is critical to improving the transition to adulthood outcomes of racially minoritized youth. However, in literature, the transition experiences of racially minoritized parents are often characterized using deficit-based language. Strengths-based counternarratives of racially minoritized parents could offer a broader account of parent experiences. We conducted a pilot sequential explanatory transformative mixed methods design with equal priority to capture the adversities experienced and the strengths leveraged by South Asian parents in the United States when navigating the transition planning process. We used the strengths-based frameworks of community cultural wealth and counterstories to reframe and re(present) the transition experiences of South Asian parents. Specifically, we blended quantitative (N = 46) and qualitative findings (N = 8) to develop a preliminary meta-inference of the transition experiences of South Asian parents. We discuss the implications of our findings for research and practice.

Purpose: This paper aims to present demographic characteristics and postgraduate employment trends of business doctoral graduates, especially the proportion that are underrepresented minorities (URMs) over time. Design/methodology/approach: The authors analyze the near census of individuals receiving doctoral degrees in a wide range of business disciplines from US-accredited universities from 1973 to 2018 (n = 50,091) contained with the National Science Foundation Survey of Earned Doctorates. The authors analyze how the proportion of URM graduates, by discipline, has changed over time both in terms of receiving a doctoral degree and entering an academic position. Findings: The proportion of URM graduates fluctuated between approximately 5% and 15% annually, steadily increasing across decades. Overall, 64.4% of all graduates entered an academic position, with notably higher rates among whites (72.1%) compared to Blacks (51.8%), Hispanics (60.4%) and other URMs (56.4%) (p < 0.001). In adjusted models, the proportion of URMs that entered academic positions significantly increased overtime, beginning in the 1990s and peaked in the 2000s. Although the few institutions that graduated the highest number of URMs do not currently have an Association to Advance Collegiate Schools of Business-accredited business school, the authors identify several exemplar institutions where URM graduates entered academic jobs at the highest rates. Originality/value: The authors provide demographic trends that shed light on ways to influence an increase in URM doctoral graduates from business disciplines into academic careers. This discussion is of interest to university administrators and other stakeholders interested in diversity issues in higher education.

This study investigates the relationship between higher education students' demographic backgrounds and their interactions and experiences with online learning during the COVID-19 pandemic. Data were collected using a quantitative cross-sectional online survey of students across China. The survey was distributed from October 10, 2021, to October 12, 2021, with 313 respondents. The results indicate that most participants had lower satisfaction with online learning, which could be due to the face-to-face learning pedagogy was mainly adopted in China before the pandemic. Over 90% of participants used more than one learning management system (LMS) in 2020 and 2021, which might be due to Chinese universities' lack of relevant unified management. Based on the sociocultural learning theory, measures like including extra learning assistance, such as instructional designers, may improve the adaptability of instructors and learners when unexpected changes occur in the social environment and learners are slow or fail to adapt as necessary.

Purpose: Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today's data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels. Design/methodology/approach: An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students' demographic and educational/career advancement variables. Findings: Male students rated their data literacy skills higher than females. The 18-19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students. Originality/value: Given the lack of research on community college students' data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.

This study argues that the long-standing difficulties in addressing educational disadvantage point to the need to change the analytical categories used and takes territoriality as an analytical lens to explore how students perceive their place in the world. The study presents the results of a qualitative study investigating how 222 14-19-year-old vocational education students in Italy, France and Greece perceive a scenario of possibility. The results from reflexive cartographies and elicitation interviews show that a significant percentage of students with similar socio-economic characteristics have difficulty imagining and narrating scenarios about their possible future selves, and that there are similar themes and patterns in all three countries. The article argues that the above findings reveal hidden forms of vulnerability that impact on students' academic trajectories and concludes by pointing out the analytical value and policy implications of the above findings in discussing educational disadvantage.

The present study examined changes in ethnic and racial identity (ERI) over one year among 353 Black and Latino early adolescents in relation to ethnic-racial socialization (ERS) and neighborhood economic and demographic characteristics. Parent and child reports of ERS were collected, and child ERI was assessed via self-report. Neighborhood measures included economic disadvantage and ethnic diversity. Results indicated parent report of preparation for bias was associated with greater increases in exploration but not among boys living in non-impoverished neighborhoods. In contrast, child report of preparation for bias was associated with decreases in belonging independent of child gender or neighborhood context. These findings highlight the complexities of neighborhood economic disadvantage and ERI development. Implications for future research examining gender differences and children's interpretation of ERS messages are discussed.

Youth with autism spectrum disorder (ASD) often experience difficulties related to aggression, disruptive behavior, and regulation of emotions that precipitate these behaviors (i.e., anger). The extent to which aggression, disruptive behaviors, and anger dysregulation are correlated with distinct or overlapping factors has not yet been explored. The present study examined whether aspects of participant demographics, individual youth functioning, caregiver stress, and family warmth contributed to youth aggression, disruptive behavior, and anger dysregulation. Participants were caregivers of 511 youths with ASD. Analyses revealed that significant proportions of variance in aggression, disruptive behaviors, and anger dysregulation were accounted for by shared variables pertaining to demographics, the individual youth, and caregiver stress. Implications of treatment and future research are discussed.

In this study, we aimed to characterize students' inquiry skill profiles and investigate whether students' gender, major, school location and type, and household registration are related to their inquiry skill profiles. By providing an animation-based activity, we engaged students in a scientific inquiry on the atmospheric chemistry of climate change. Students performed data analytics, control of variables, and scientific reasoning tasks, which represented essential skills in the inquiry process. After removing the invalid data and conducting the two-stage stratified sampling, we analyzed 724 11th-grade Chinese students' multiple-choice and open-ended responses. A latent profile analysis (LPA) was used to identify if there were subgroups of students' inquiry skills. ?2 tests were conducted to examine whether the profiles' distribution differed in gender, major, school location, school type, and household registration. We identified four types of inquiry skill profiles among students: sophisticated, experimental, moderate, and basic, based on their skills in data analytics, scientific reasoning, and control of variables. The findings showed that school location significantly affected students' inquiry profiles, while school type, student major, and hukou had a mildly favorable impact. To sum up, the marriage of the LPA approach and the animation-based activity has illuminated not just students' different inquiry skill profiles but also the relationships these profiles have with certain demographic factors. We discussed that it is imperative to recognize these varied inquiry skill profiles and work to bridge the disparities stemming from demographic differences for a more equitable science education environment.

The Career and Technical Education (CTE)-focused dual credits programs are proven to promote both career and academic benefits to students. This quantitative study matched and analyzed transcript data from 245 high school students enrolled in CTE dual credit programs in an urban public school district in a southern state of the U.S. The school district serves a large proportion of Black or African Americans and low-income students. The authors conducted regression analyses to compare student learning outcomes in the pre- and post-COVID cohorts while controlling for demographic characteristics, academic background, and school-level characteristics. Findings showed that students in post-COVID cohorts had significantly lower CTE GPAs but significantly higher probabilities of obtaining a CTE certificate, as compared with those in the pre-COVID cohort. In addition, a higher high school GPA predicted a higher GPA in CTE dual credits programs and a higher probability of earning a CTE certificate. The school-level average free/reduced lunch rate was a negative predictor of CTE GPA. Students enrolled in medical programs had a lower probability of earning a CTE certificate.

The purpose of this study was to examine factors that may influence middle school choir directors' (MSCDs) sense of self-efficacy. Survey participants (N = 448) who were members of one of three private and active MSCD social media groups completed a questionnaire designed to elicit responses about their senses of self-efficacy and demographic information. The highest rated items were about the ability to provide alternative explanations for confused students and to get students to follow classroom rules, while the lowest rated items were about assisting families in helping their children do well in school and motivating students who show low interest in schoolwork. A two-factor analysis accounted for 49.11% of the variance in which Factor 1 was related to teacher and classroom structures and Factor 2 was related to student and familial structures. For Factor 1, MSCDs who taught in public schools had higher outcomes than other colleagues. For Factor 2, MSCDs who taught in urban schools had higher outcomes. Effect sizes for both analyses were very low, which indicates a need to interpret these findings with caution and to further examine MSCDs' experiences. Specific implications for practice and future research are discussed.

The literature on student development cautions that social responsibility attitudes may stagnate or decline as students proceed through college. Given the importance of students' future professional obligations to society, identifying ways to reverse this trend is crucial. In turn, an important aim of this study, situated at a large public university, is to evaluate the prospects of community engagement as a strategy to foster professional social responsibility development. The study uses longitudinal results from an instrument known as the Generalized Professional Responsibility Assessment (GPRA) to assess personal and professional social responsibility attitudes. The study's sample includes 128 students who completed a survey both in 2017, when entering college, and in 2019, when near the midpoint of college. Findings indicate that social responsibility attitudes remain stagnant, and that students over that time period attach more importance to salary as compared to helping people when considering job priorities. Yet, results reveal that increased community engagement predicts growth in social responsibility attitudes, even when controlling for students' pre-college social responsibility attitudes and demographic characteristics. Further, a novel contribution of this study is a focus on two sub-categories of community engagement: discipline-based and peer-based. Discipline-based community engagement appears to foster professional aspects of social responsibility, while community engagement experiences tied to peer interaction appear to exert greater impacts for non-White students. An observation derived from the study is that community engagement, particularly when it connects to a student's discipline or draws on peer influences, could be an effective strategy to promote social responsibility development.

Educator preparation programs must prepare teachers to endure the demands of the profession. Teacher candidates can develop skills to mitigate stress and develop resilience and self-efficacy necessary for the current reality of the teaching profession. We implemented a randomized control trial to evaluate the effects of a self-care self-monitoring intervention on teacher candidates' resilience and self-efficacy. Participants assigned to the treatment group created self-care goals and monitored their weekly progress toward their goals. We found no significant effects of the self-monitoring tool on teacher candidates' resilience and self-efficacy. We contextualize our findings within the current teacher attrition and retention crisis and share implications for educator preparation programs.

It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize differences in size by turning variables into ratios or by controlling for size. But methods that are appropriate in many demographic and epidemiological contexts have been used in settings where they may not be justified and may well introduce spurious relations between variables. We suggest local regressions as a simple diagnostic and generalized additive models as a superior modeling strategy, with double-residualized regressions as a backup for certain cases.

Aim/Purpose: This study explores the Knowledge, Attitude, and Perception (KAP) towards ChatGPT among university students and faculty. It also examines the faculty's readiness to cope with the challenges and leverage the opportunities presented by AI-powered conversational models. Background: Launched on November 30, 2022, ChatGPT took the world by storm with its capability to generate high-quality written expressions in a conversational manner. The reactions to this innovation varied, from enthusiasm regarding its potential to enrich students' learning to concerns about its threat to students' cognitive development and academic integrity. A systematic exploration of students' and faculty's KAP towards ChatGPT can play an important role in addressing the multifaceted dimensions of AI-driven conversational models. Methodology: This study employs a cross-sectional survey research design based on questionnaires distributed to 145 faculty members, as well as 855 undergraduate and graduate students at the ESPRIT School of Engineering and School of Business. The student sample was based on stratified and convenience sampling, while the faculty sample was based on a consensus sampling approach. Contribution: To the best of our knowledge, this is the first reported study that contributes to understanding the KAP of students and faculty towards ChatGPT, as well as the readiness of faculty to effectively adopt AI-driven conversational models. Furthermore, our research contributes to the body of knowledge by taking Vygotsky's (1978) principle of social interaction and its role in promoting cognitive development to a new level by hypothesizing that if students were to acquire the competencies to actively engage with AI-driven chatbots in meaningful discussions and collaborative conversations, they might be able to develop some higher-order thinking skills further. Findings: Our results indicated that faculty demonstrated a higher level of ChatGPT knowledge than students and that more than 40% of surveyed students and faculty expressed some trust in the reliability of ChatGPT's responses, a perception that does not align with reality. Faculty attitude towards ChatGPT was comparatively more reserved compared to that of students and showcased varying opinions. Furthermore, the surveyed faculty showcased a more negative perception of ChatGPT than students, and they expressed a greater degree of skepticism. Our research revealed that 63.4% of surveyed faculty reported that they lack the requisite training and resources to integrate ChatGPT into their pedagogical practices. Recommendations for Practitioners: HEIs should take appropriate measures to enhance students' and faculty's knowledge, attitude, and perception regarding ChatGPT to stimulate ethical, meaningful, innovative, and engaging interactions and learning experiences. Recommendation for Researchers: Our study has shed light on some moderating factors that shape the acceptance of AI-driven conversational models and some adoption barriers. It delves into the perceptions, biases, and misconceptions held by both students and faculty, thereby providing a basis for future investigations on the effective integration of AI-driven conversational models in higher education. Impact on Society: This research provides new insights that can harness the potential merits of ChatGPT in enhancing students' learning while mitigating potential pitfalls. It suggests facilitating open forums and dialogues among students, faculty, employers, and other key stakeholders to debate the impact of AI-driven conversational models on students' learning and faculty's teaching and assessment. Future Research: We invite researchers to conduct cross-cultural studies on this topic while also taking into consideration a qualitative research design approach. Future research can also test the hypothesis that AI-driven conversational models inhibit critical thinking by facilitating the passive consumption of information.

Evidence shows that biomedical engineering students face unique challenges in entering the workforce compared to peers in other engineering majors. The purpose of this study is to explore the factors impacting undergraduate engineering students' career attainment, or the acquisition of employment in a chosen field, and how the students experienced these factors in their pathways towards post-graduate employment. By studying differences in processes towards career attainment, there is an opportunity to promote equity and better support the inclusion and persistence of women and racially minoritized groups in engineering, particularly their readiness to enter the engineering workforce. We sought to answer two research questions: (RQ1) What contextual factors are identified by engineering students as supports and barriers to their attainment of a career in the engineering field? (RQ2) How are engineering students experiencing inequities in their processes toward career attainment? We conducted six focus groups with undergraduate engineering students at a large Midwestern University. Participants were purposefully sampled based on demographics from four engineering disciplines: biomedical engineering and the three preferred majors for students transferring out of biomedical engineering at our university, chemical engineering, materials science and engineering, and mechanical engineering. We used social cognitive career theory (SCCT) to inform our data collection and analysis and interpret the findings. The transcripts were analyzed by developing a codebook containing theory-driven codes from SCCT and emergent codes from the data. We identified five themes representing the contextual factors impacting engineering students' processes toward career attainment: implications of (1) interpersonal relationships; (2) institutional infrastructure; (3) academics; (4) social identity; and (5) out-of-class experiences. We also found that these contextual factors may act as either a support or barrier depending on personal factors such as demographics, personality, or identity. The nuance revealed in this study, that a contextual factor may be both a support and barrier, presents implications for universities to provide more individualized career preparedness resources and recognize the ways that students' positionalities impact their processes toward career attainment.

Purpose: The transformative impact of digital innovations on education has reshaped academic landscapes, affecting both instructional methods and evaluation systems. This study delves into the realm of distance education, exploring the intricate dynamics of digital access, equity and inclusivity, with a particular focus on their influence on learning outcomes. Design/methodology/approach: A comprehensive survey involving 360 participants was conducted to gather data on various facets of the digital learning environment. Descriptive statistics illuminated participants' perceptions, while digital access disparities were analyzed through a chi-square test. Structural equation modelling (SEM) assessed direct relationships, mediation and moderation analyses and elucidated the nuanced influence of demographic parameters. Findings: Descriptive analysis revealed generally positive perceptions of digital learning, with some variability in aspects like accessibility of learning materials and Internet connectivity. Digital access disparities were evident across demographic parameters, highlighting significant associations with gender, education, income, geographic location, religious affiliation and field of study. SEM indicated robust positive associations between digital access and learning outcomes, strategies for enhancing equity and inclusivity and their combined impact on overall academic success. Originality/value: This study contributes original insights by comprehensively analyzing the interplay of digital access, equity and inclusivity in distance education and their impact on learning outcomes. The research unveils nuanced disparities across demographic dimensions, emphasizing the need for targeted interventions. The study's integration of SEM, mediation and moderation analyses adds a sophisticated layer to the understanding of these relationships.

Posthumanist orientations have underlined the need to foster non-hierarchical relations with other-than-human beings to adequately attend to planetary crises and help life to survive and flourish. Since a posthumanist critique towards natural sciences has mostly leaned on questioning the premise of human subjects making sense of objectified nature, little effort has been made to explore if and how scientific research and posthumanist approaches might intersect and co-exist without abandoning their respective aims. In this paper, we analyse a case of ecological citizen science inquiry on urban rats to explore theoretical and practical opportunities for environmental education that arise from bridging the posthumanist call for attentiveness towards multispecies worlds with ecological research endeavor. We reconceptualize ecological inquiry as sharing "atmospheres" with other animals as well as through its "material aspects" to articulate conceptual tools to disrupt the subject-object division of knowledge creation between humans and other animals.

Despite increasing demand in distance education, relatively little is known about the demographic and socioeconomic characteristics as well as basic skill levels of adult distance education participants at the national level in the US. This study analyzed the US data from the 2012/2014 and 2017 Program for International Assessment of Adult Competencies (PIAAC) to identify baseline determinants of nonformal (i.e., not for a formal credential or degree) distance education among adults aged between 25 and 65 years old. Results showed that higher educational attainment, employment, literacy skills, and digital problem-solving skills were positively associated with nonformal distance education participation. As recent distance education is provided predominantly through the internet and digital device, digital skills may be of particular concern. These identified determinants should be reflected in policy interventions to close education gaps. Additionally, the findings of this study are useful for future research that focuses on psychological and behavioral factors.

The study focuses on the classification of occupational stressors perceived by physical training teachers in Turkey and the correlations of these stressors between some workload, biographic and quality of life variables. This research was conducted face to face among physical education teachers in public and private schools in the cities of Balikesir, Kocaeli, Bursa, Kütahya, Osmaniye, Yalova, Ankara, Antalya, Adana, Usak, Manisa, Kayseri, Izmir, Sanliurfa, in 2021 and 2022. The cluster method was applied. This research on physical education teachers in Turkey is a cross-sectional study. Data analysis was done using t-test and analysis of variance. First, the Pearson correlation analysis was done by examining the relationship between the variables of quality of life and perceived stress and its effect. A linear regression analysis was done with the purpose of identifying its predictability negatively and significantly (p<0.001).

The novel coronavirus (2019-nCoV) outbreak caused a paradigm change in education and made it necessary to conduct educational activities through online learning environments (OLEs). This sudden shift also affected special education practices for learners with autism spectrum disorder (ASD). The present study aims to investigate the current issues in online education studies relating to individuals with or involved with (i.e., parents or teachers) ASD. For this purpose, a literature search was carried out to review the relevant studies conducted from 2010 to 2019, and 19 studies were selected based on predefined research criteria. Content analysis was performed to analyze the reviewed articles considering the following domains: publication year, country, field, purpose, research methods, instruments, results, and suggestions. Results indicated that the publication rates of studies pertaining to individuals with ASD, their parents and teachers increased after 2014, and although OLEs are found to be beneficial in meeting the needs of the target group, several improvements are needed to make them more useful and adaptable.

Teacher burnout has been shown to be one of the most common negative consequences of the COVID-19 pandemic. This study aimed to identify distinct psychological resources and burnout risk profiles of teachers and examine their association with Kolb's educator roles and their professional experience. Methods: The survey data were collected from 330 preschool and primary school (84 males, M[subscript age] = 38.3, SD = 9.14) teachers using a convenience sampling method. Results: The two-step cluster analysis revealed two distinct profiles. The first profile, "high psychological resources, no burnout risk," was characterized by absent symptoms of burnout and increased levels of well-being, self-control, and positive emotionality. The second profile, "moderate psychological resources, mild burnout," was associated with medium levels of well-being, self-control, and positive emotionality accompanied by mild burnout. Our findings highlighted that cluster one had a significantly higher score for the facilitator role and cluster two for the expert and coach roles. Additionally, teachers with less professional experience were more likely to belong to cluster one, considering their adequate skills in digital literacy. Conclusions: These findings provide new insights into the explanation of teacher burnout and the design of intervention programs.

Grant funding is essential to the advancement of science, technology, engineering and math (STEM) fields with certain grants viewed as especially prestigious and career formative. The goal of this project was twofold: first to describe the gender demographics of the national winners of two prestigious grants and second, to document the impact of an educational program aimed at improving the success for women in STEM fields in a local setting. In Study 1, we analyzed publicly available national data to document gender gaps in National Science Foundation's Faculty Early Career Development Program (CAREER) and National Institutes of Health's K01 awards from 2008-2021. Results showed that, while the ratio of K01 awards favored women, the ratio of men-to-women CAREER awardees favored men. In Study 2, we implemented a grant-writing program for CAREER awards based in self-determination theory at one university and analyzed its impact on funding success. Results comparing before the educational program and after showed that the average annual success rate increased for everyone from 11% to 33%. Women-identified faculty who participated in the program were awarded CAREER funding at a higher rate than would be expected from the number of women eligible to apply or submission rates. While the correlational and observational nature of this study make it impossible to conclude that it was only the educational programs that resulted in the benefits to women's award success, we encourage other universities to consider adapting the program and enable faculty development around grant success.

Workplace spirituality is recognised as the inner state of individuals and an aspect of their working life. In the study reported on here we aimed to unearth the effects of teachers' demographic factors (gender, age, nature of job, academic qualification, marital status, designation, teaching experience, and district) towards workplace spirituality in secondary schools. This study was a descriptive research and a cross-sectional survey research design was applied. The participants were 3,050 secondary school teachers. The participants were selected using stratified proportionate random sampling. The Workplace Spirituality Scale (WPS) developed by Petchsawang and Duchon (2009) was used along with a list of demographic variables to meet the study objectives. Different statistical techniques (t-test, mean, SD, one-way ANOVA and post hoc analysis) were applied for data analysis. The results indicate that teachers were satisfied and agreed with the practices of workplace spirituality in secondary schools. Moreover, the results reveal that the teachers' demographic factors (gender, designation, nature of job, academic qualification, marital status, teaching experience, and district) had significant effects on their workplace spirituality. From the results we recommend that the management of educational institutions should treat teachers equally and fairly without any discrimination for equal nurturing of workplace spirituality among teachers.

This study explores the level of mathematics teachers' technology integration self-efficacy and the extent to which some background variables influence this self-efficacy. The study adopted a survey design and collected data from 125 mathematics teachers in Dar es Salaam, Tanzania. Data analysis was done using a t-test, effect size, and one-way between-groups ANOVA. Teachers were found to have a moderate level of self-efficacy. Furthermore, findings suggest that gender and teacher training in technology integration both in college training and as part of professional development are important in influencing teachers' self-efficacy in teaching with technology. The study recommends technology integration and gender to be mainstreamed in teacher education in order to develop self-efficacy in technology use.

Technology is widely involved across the learning environment including its integration into teaching English as a foreign language (EFL); however, few studies have explored EFL teachers' perceptions of technological pedagogical content knowledge (TPACK). This study investigates how EFL teachers perceive and self-evaluate knowledge of content (CK), pedagogy (PK), and technology (TK), the interplay of these with each other (TPACK), and the underlying influential factors for TPACK construction. The data were gathered in China from an online survey (n = 64) comprising 35 items on the TPACK components, and self-evaluation by nine survey participants of their TPACK in follow-up interviews. WeChat, the most popular social media App in China, was utilised as the data collection tool. The survey reveals teachers' strong beliefs in the value of PK, CK and PCK and their positive beliefs about technological applications in EFL instruction. Consistent with these results, interviewees' self-evaluation of TPACK demonstrates that they felt a high level of confidence in CK, PK and PCK but relatively less confidence when technology was integrated despite commonly applying technology to instruction. Influential factors include: 1) contextual factors; 2) knowledge of students; 3) demographic background; and 4) availability of quality training. Decision-makers' financial support and policy-making, technological training in the integration of CK and/or PK, and a collaborative learning strategy are recommended.

The profile of the pedagogy student is polyvalent, the motivations, competencies, attitudes, and necessary aptitudes are also varied and suitable for developing the exercise of their profession in different labor scenarios, ranging from the educational-training context to the business context. The aim of this research has been to analyze the influence of sociodemographic factors and knowledge in pedagogy on labor market insertion, expectations about the degree, and employability of students of the degree in pedagogy at the University of Granada, Spain. The methodology used was based on a cross-sectional study design through a survey administered to a total of 334 students. The results obtained show that there are differences between the two genders. Regarding the year of study, no significant differences were found. Knowledge about the profile of the pedagogue is a factor that does influence expectations about the degree, job placement, and employability. However, expectations about the degree did not influence job placement, although employability did. It is concluded by stating that there is a lack of knowledge about the role of the pedagogue, which needs to be alleviated, as well as highlighting the need to reinforce the curricular, academic, and practical training of this degree.

Statistical reasoning ability is one of the essential skills in developing competence, which is one of the Sustainable Development Goals (SDGs). This study aims to explore the statistical reasoning ability of junior high school students in descriptive statistics learning. The investigation directs students to determine their level of statistical reasoning ability. The Rasch model analysis analyzes whether there is a bias in the item questions used in exploring these abilities based on demographic factors such as gender, initial mathematical ability, and ethnic background. This study uses a mix-method (a combination of quantitative and qualitative methods). Based on the Rasch Model analysis, quantitative and qualitative data were obtained from 22 students utilizing a statistical reasoning ability test instrument based on the ethnomathematics context, which was valid and reliable. The results of data analysis show that students have different levels of statistical reasoning abilities and are related to students' initial mathematical ability. Students with low initial mathematical skills are at level 1 idiosyncratic, while students with high initial mathematical skills are at procedural level 4. The results of the DIF (Differential Item Functioning) analysis showed no significant difference between the use of the ethnomathematics context-based test instrument and the demographic factors of the research subjects. This study concludes that students can explore statistical reasoning ability through ethnomathematics-based problem solving but still pay attention to other demographic factors.

Since the mid 1990s vocational and education and training systems across Europe have had to respond to a number of external factors which have transformed the demand for skills. This paper examines the way in which VET systems have responded to the external factors and increase their resilience in the face of external shocks of one kind or another. The paper also reveals the way in which VET increasing established itself as a mainstream option for young people over the same period because of its capacity to deliver skills which the labour market demands.

This research aimed to examine the academic amotivation of high school students. To that end, the academic amotivation levels of high school students were determined, and their amotivation levels were compared according to some demographic variables. The study group of the research consisted of 318 students studying at different high schools in Bursa, Turkey, in the fall semester of the 2021-2022 academic year. "Demographic Information Form" and "Academic Amotivation Scale" were used to collect data. Data were analyzed by applying descriptive statistics, independent groups t-test, and a one-way analysis of variance. The results showed that high school students had moderate academic amotivation. Students' academic amotivation levels differed significantly according to gender, grade level, school type, income level, and parental education. Based on the research results, some suggestions for practice have been developed.

The emergence of digital technologies and a more global and digital society has brought about the need to develop and educate in Digital Citizenship, as well as to study how youth are taught to participate and learn citizenship in a digital age. This paper aims to explore the role of digital and socio-civic skills development, as facilitators for youth participation and analyses the relationship between sociodemographic variables (sex, age, educational level, and political ideology) with the participatory profile of participants. This is a study with a quantitative methodology, where, based on non-probabilistic convenience sampling, 534 young people between 16 and 35 years old from Spain, completed an online questionnaire regarding the development of digital and socio-civic skills. The results indicate how a participant's participatory profile is related to other variables. In addition, significant differences are observed between the different participation profiles and digital and socio-civic skills, underlining that the development of digital and socio-civic skills are essential for educating in digital citizenship.

This study profiles superintendents in North Carolina public-school districts for academic year 2020-2021. We focus on superintendent gender, race, educational experiences, highest degrees earned, and professional longevity; and personal characteristics such as age and marital and parenting status, and the relationship between gender and race and geographic region served. Data sources included a survey of all of North Carolina's public-school district human resources directors; licensure and payroll records from the North Carolina Department of Public Instruction (NCDPI) for the years 2000, 2010, and 2021; and "The American Superintendent: 2020 Decennial Study" from the American Association of School Administrators. Despite progress, we found significant disparities between superintendent demographics and their communities. Amid growing diversity, only 26% of public- school districts were led by females and 22% percent by an African American or Latinx. We also noted high turnover, inexperience, and interim appointments as red flags. We recommend actionable steps for research, policy, and practice.