This study aims to develop and validate the Teachers' Spiritual Leadership Questionnaire (TSLQ) to assess teachers' spiritual leadership from students' perspectives. Grounded in the principles of spiritual leadership—Vision, Hope/Faith, and Altruistic Love—the TSLQ explores how teachers inspire, influence, and guide students toward both academic and holistic development. The study addresses the lack of assessment tools in educational settings and introduces a structured validation process to ensure the instrument's accuracy and reliability. The questionnaire was developed and refined through several stages using expert input, literature review, and statistical validation methods. A total of 402 students participated, and their responses were analyzed using factor analysis to examine the tool's structure and effectiveness. Findings confirmed that the TSLQ is valid and reliable, with strong alignment between items and the three key dimensions of spiritual leadership. The results supported the model's overall strength, indicating that the questionnaire effectively captures the intended constructs. The study concludes that the TSLQ is a sound instrument for understanding spiritual leadership in the classroom and can help educators and researchers better assess its impact on students' academic and personal growth. Further research is recommended to test the tool in different cultural and educational settings and to explore additional dimensions of spiritual leadership. This new tool offers valuable insights for enhancing teaching practices and promoting a supportive and values-driven learning environment.

This study used data from the COVID Social Mobility and Opportunities (COSMO) Study, to examine young people’s university aspirations and post-18 education expectations during COVID-19 in relation to their demographic and socio-economic position, school engagement, education disruption, and attitudes to education. Through a series of binary regression analyses, the findings showed the important role school engagement (in the form of online lesson attendance, schoolwork and teacher contact) played in young people’s university aspirations and post-18 education plans, especially at the height of the pandemic. Education disruption and locus of control were found to contribute to young people’s aspirations and post-18 expectations. The findings also highlighted the influence of gender, ethnicity and socioeconomic position regarding university aspirations and expectations, laying bare the obstacles in accessing learning faced by disadvantaged young people at a crucial time in their education. The findings contribute to continued debates about educational aspirations in the post COVID-19 world and have policy implications especially as this generation of young people are still in education. They may also contribute to discussions on ways of supporting this COVID-19 generation through fiscal changes and widening participation policies that extend to post-18 education and early career development.

The current study sought to evaluate the impact of programs used to enhance the self-regulation and social interaction for children with Autism Spectrum Disorders (ASD), as perceived by their families. The descriptive approach was used to collect and analyze data and derive conclusions after developing the study instruments. The study sample consisted of 150 families of children with ASD enrolled in special education centers in Amman, Jordan. The study participants were purposefully selected to respond to the two provided measurement scales. To measure the impact of the intervention programs, the researchers developed the Self-Regulation Behavior Scale and the Social Interaction Scale, ensuring the validity and reliability of both scales. The results of the study indicated that from the families’ perspective, programs for children with ASD had a moderate impact on enhancing self-regulation and a high impact on social interaction. Additionally, the findings of the study revealed statistically significant differences in the degree of improvement in self-regulation and social interaction behaviors related to the child’s gender and the severity of their disorder. However, no statistically significant differences were found related to the child’s age and gender in their level of improvement in self-regulation and social interaction behaviors.

This qualitative article explores a Swedish teachers’ rebellion group (TRG) on Facebook with the aim of exploring teachers’ stories about violence in school. Facebook groups for teachers, such as the TRG, are common sites where teachers discuss and share professional matters and both public stories and subjective experiences. In this article, we focus on narratives about children who are perceived by the teachers as dangerous in various ways. The concept of the formula story, together with child and teacher agency, helps us to explore the symbolic and emotional aspects at stake when the teachers discuss the dangerous child in the TRG. In the analysis, an ambivalent image of the dangerous child emerges where child and teacher agency intersect with each other and with other human and non-human actors. This image challenges contemporary ideas and ideals about children and childhood as well as the teaching profession. The conclusion broadens our notions of the child and reflects upon the outcomes of applying agency to the context of school violence.

This article aims to establish a research map of the flipped classroom (FC) model in general education for the period 2014-2024, exploring publication trends, influential authors, organizations, countries, and prominent research topics, while also identifying academic gaps in this field. The study focuses on three main aspects: (1) publication trends and influential authors, organizations, and countries; (2) key research topics and academic gaps; (3) international collaboration networks in FC research. The research employs a bibliometric analysis method, utilizing the Scopus database and the VOSviewer visualization tool, to synthesize information and identify research trends. The results indicate that research on FC in K-12 education increased sharply from 2019, reflecting the impact of digital transformation in education during and after Covid-19. The United States, Hong Kong, and Taiwan are the leading research centers. Authors such as Bergmann, Bishop, and Hew have been highly influential. Prominent research trends include self-regulated learning, learner satisfaction, gamification, and the application of artificial intelligence. The international collaboration network in this field is growing, with strong participation from institutions from Southeast Asia, including Vietnam. The study recommends expanding the scope of analysis beyond Scopus and using qualitative methods and systematic reviews to further evaluate the FC model. The research will provide policymakers, teachers, and researchers with useful evidence for improving programs, enhancing professional development, and promoting digital transformation in general education.

The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.

This mixed-methods study investigates the impact of the Science, Technology, Engineering, Arts, and Mathematics (STEAM) method and fifth-semester student engagement on entrepreneurial competencies in the higher education of the makeup and beauty program at Padang State University. Using a convergent parallel design, data were collected from 117 fifth-semester students through questionnaires, interviews, observations, and portfolio assessments. The data were analyzed using Two-Way ANOVA and thematic analysis. The quantitative results revealed that the STEAM approach significantly outperformed conventional methods. Specifically, 83.33% of students achieved excellent leadership scores (M = 89.00, SD = 2.85), and 78.33% excelled in creativity (M = 87.50, SD = 2.98). High levels of engagement (M = 4.33) across behavioral, emotional, and cognitive dimensions correlated with enhanced competencies (p < .001). Qualitative findings indicated increased motivation, collaborative learning through platforms like TikTok Shop, and heightened mental engagement from diverse resources. The interaction between the STEAM and student engagement further amplified outcomes (F = 3.75, p = .025, R² = 0.454). This study highlights the transformative potential of the STEAM method in developing entrepreneurial competencies, underscoring its applicability in vocational education. Educators should integrate STEAM methodologies and digital platforms into their curricula, while future research should examine the long-term impacts and scalability of these approaches.

This study examines the emotional labor of early childhood educators and its relationship with interactions involving children and parents, with a focus on emotional regulation and demographic influences. This study aimed to investigate the impact of emotional regulation strategies and demographic variables on educators’ emotional well-being during professional interactions. A quantitative approach was adopted, with data collected through structured questionnaires. The analysis concentrated on emotion suppression and surface acting in relation to well-being. Results indicated that teachers experienced considerable emotional burden, with emotion suppression being more prevalent than surface acting, particularly in interactions with parents. Fifty-three percent of educators reported a high emotional burden in parent-related suppression, compared to 38% in interactions with children. Additionally, 38% reported high suppression in self-regulation, while 29% experienced no burden from surface acting. Emotion suppression in parent interactions had the most significant impact on well-being (standardized coefficient = 0.4044, p < .001), followed by education level (coefficient = 0.1646, p < .001). Factors such as generation, teaching experience, salary, and certification were not statistically significant. The model explained 18.7% of the variance in emotional well-being. These findings align with existing literature that highlights the emotional burden of teaching and the psychological toll of unaddressed regulation challenges. Therefore, culturally and contextually appropriate suppression-management training, together with enhanced institutional support, is essential to reduce the emotional burden on Indonesian early childhood educators.