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.

Globalization, digitalization, and evolving national regulations have intensified the need for rigorous quality-assurance systems to secure accreditation in Higher Education Institutions (HEIs). This study asks: What theoretical contributions underpin HEI accreditation, and how have research themes evolved? Employing the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and Bibliometric Analysis via Biblioshiny and Vantage Point, we examined 1,252 documents indexed in Scopus® (781) and Web of Science™ (471) from 2012 to May 2025. Findings delineate three production phases—Foundation Consolidation (2012–2017), Expansion and Diversification (2017–2020), and Sustained Transformation and Innovation (2020–2025)—and three thematic perspectives: (a) Teaching and Learning Quality, (b) Technology and Sustainability as Quality Catalysts, and (c) Governance, Management, and Accountability. Multiple Correspondence Analysis (MCA) identified three Motor Theme clusters—[1] Sustainable Development and Institutional Change, [2] Technological Pedagogy and Student Experience, and [3] Governance and Regulation—led by Spain, the United States, Chile, Colombia, the UK, Australia, and India. Conclusions underscore accreditation’s dual role as a strategic lever for institutional improvement and a competitive mechanism, with emerging focus on competency, e-learning, employability, machine learning, and sustainability. Future research should explore cross-border accreditation dynamics; the impact of AACSB and NAAC standards on business-school curriculum design and program quality; accreditation’s pedagogical effects; and leadership practices for effective implementation.

Home economics education connects multidisciplinary knowledge and is crucial in addressing the challenges of changing society at the individual and family levels. For quality home economics education, pupils need to acquire knowledge and skills based on the fundamentals of home economics literacy, content, and goals defined in the curriculum for this subject. Our research aimed to establish the needs and perspectives of teachers, pupils, and parents regarding the importance and utility of home economics education. Areas of home economics to be included in the subject’s curriculum were identified, based on the perceived needs of pupils, parents, and teachers. The Delphi methodological approach was used. The first round of the Delphi study involved 30 teachers, 34 9th-grade pupils, and 34 parents of 9th-grade pupils, and its second round involved 16 teachers, 33 9th-grade pupils, and 29 parents of 9th-grade pupils. Survey results showed that by the end of elementary school, pupils in their home economics classes had acquired knowledge and skills in the economic and financial area, as well as in environmental and consumption, textiles, nutrition, health and well-being, social skills, and family and home. Although individual groups of respondents differed in the perceived importance of particular home economics areas, the respondents considered it important that pupils acquire home economics knowledge and skills in all identified areas. The Delphi research method proved to be an adequate method to identify the areas of home economics education that are important for a quality of life in modern society and need to be included in the home economics curriculum.

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.

This study examined the effect of workplace spirituality and person-organization fit on faculty turnover intention in Indonesian universities, with employee engagement as a potential mediating variable. The research involved 1026 faculty members from both public and private universities in Indonesia, with at least one year of teaching experience. A quantitative survey design was employed. Data were collected through questionnaires administered directly to respondents or via online communication channels. The findings revealed that both workplace spirituality and person-organization fit significantly reduced faculty turnover intention. Furthermore, it has been proven that employee engagement acts as a mediator in this relationship. Universities that foster workplace spirituality and ensure a good person-organization fit can enhance faculty engagement, ultimately leading to lower turnover intentions. To increase engagement and reduce turnover, this research highlights the importance of fostering workplace spirituality within universities and ensuring that faculty members are well-suited. It contributes to knowledge of faculty retention strategies in higher education. The study acknowledges its limitations, including a cross-sectional design and reliance on self-reported information. Future research using longitudinal designs is recommended.

This study examines the transformation of higher education through digital solutions, with a specific focus on developing a user-centered digital student handbook prototype for Surin Vocational College in Thailand, with potential scalability nationwide. Utilizing a mixed-methods approach, the research integrates qualitative and quantitative data to design a digital tool that enhances accessibility, usability, and personalization for students. The prototype features key components, including mobile accessibility, real-time updates, interactive notifications, and integration with academic tools, designed to enhance student engagement, career readiness, and academic performance. Data collection involved students, faculty, and experts to ensure a comprehensive understanding of user needs and preferences. The findings indicate that the digital format offers significant advantages over traditional paper-based handbooks, particularly in terms of accessibility, real-time content updates, personalized experiences, and environmental sustainability. However, variability in user feedback suggests areas for further refinement,  emphasizing that there must be continuous improvement. This research offers interesting perspectives on the role of digital solutions in higher education, contributing to the ongoing evolution of learning tools that support academic success, student engagement, and institutional sustainability.

Text readability assessment stands as a fundamental component of foreign language education because it directly determines students' ability to understand their course materials. The ability of current tools, including ChatGPT, to precisely measure text readability remains uncertain. Readability describes the ease with which readers can understand written material, while vocabulary complexity and sentence structure, along with syllable numbers and sentence length, determine its level. The traditional readability formulas rely on data from native speakers yet fail to address the specific requirements of language learners. The absence of appropriate readability assessment methods for foreign language instruction demonstrates the need for specialized approaches in this field. This research investigates the potential use of ChatGPT to evaluate text readability for foreign language students. The examination included selected textbooks through text analysis with ChatGPT to determine their readability level. The obtained results were evaluated against traditional readability assessment approaches and established formulas. The research aims to establish whether ChatGPT provides an effective method to evaluate educational texts for foreign language instruction. The research evaluates ChatGPT's capabilities beyond technical aspects. The study examines how this technology may influence students' learning experiences and outcomes. The text clarity evaluation capabilities of ChatGPT might lead to innovative approaches for developing educational tools. The implementation of this approach would generate lasting benefits for educational practices in schools. For example, ChatGPT’s readability classifications correlated strongly with Flesch-Kincaid scores (r = .75, p < .01), and its mean readability rating (M = 2.17, SD = 1.00) confirmed its sensitivity to text complexity.

The complexity of naming and writing structures of functional groups presents a challenge for many students, often leading to difficulties in mastering fundamental concepts in organic chemistry. This underscores the need for an innovative teaching tool to improve students' understanding and attitude toward the abstract concept of organic chemistry. This study examined the effect of an improvised molecular kit on students' academic performance and attitudes in organic chemistry, focusing on the concepts of alcohol, aldehyde, carboxylic acid, ester, ether, and ketone. A quasi-experimental pretest-posttest design was employed, comparing the control group (traditional teaching methods) with the experimental group (using the improvised molecular kit). Pretest results indicated that both groups initially "did not meet the expectation" in all topics. However, posttest scores showed significant improvement, with the experimental group achieving higher mean scores, while the control group remained at a level of "fairly satisfactory" to "satisfactory." Statistical analysis ANCOVA confirmed significant differences (p < .001) in learning gains, demonstrating the effectiveness of the molecular kit. Furthermore, students' attitudes toward the kit were positive, with strong agreement on its ability to enhance engagement, understanding, and visualization of molecular structures. These findings suggest that the improvised molecular kit is an effective instructional tool, improving conceptual retention and fostering a more interactive learning experience. Integrating hands-on learning strategies in organic chemistry could significantly enhance students' comprehension and overall academic performance.

The evaluation of Service-Learning (S-L) projects in online environments has become increasingly relevant in educational research, at the same time as the importance of using mixed methods has risen. However, there are few studies focusing on the evaluation of virtual Service-Learning, as most studies concentrate on face-to-face Service-Learning projects. In this regard, the aim of the present research is to assess three Virtual Service-Learning (vS-L) projects using a blended (quantitative-qualitative) evaluation method, also conducted online. The evaluation was conducted by students from the National University for Distance Learning, who completed a questionnaire asynchronously and participated in synchronous focus groups within their respective groups. Data were arranged in a mixed panel (questionnaire items and focus group verbatim opinions). The questionnaires demonstrated that Service-Learning is an excellent methodology to broaden students’ skills, abilities, and competencies to better face the professional world. The focus group verbatim interventions showed that the construction of indicators improves learning. Overall, the assessment results revealed a high level of student satisfaction. The implementation of our mixed-methods approach is innovative because it is conducted entirely online and utilizes computer technology for processing the gathered information.

The concept of student workload has become central in European university discourse through the implementation of the Bologna Process. Through the European Credit Transfer and Accumulation System (ECTS), it aims to standardize the measurement of student workload across European higher education. Scholars have highlighted limitations in this approach, particularly its inability to fully capture the complexities of student workload. Departing from such a response, we conducted a mixed-method case study, building our analysis on perspectives from Posthumanism and Actor-Network Theory, which offer a holistic and nuanced framework for understanding student workload. By conceptualising workload as a dynamic network of relational actants, this approach moves beyond previous conceptions. It also foregrounds the student as a complex individual whose agency is central to the construction of workload. Through this lens, student workload is not a fixed entity but a process of becoming, shaped by interactions both within and beyond the formal learning environment. Posthumanist perspectives thus allow for a richer understanding of the student as a whole person. This model provides valuable insights for institutional and educational discourse, as well as future research, highlighting the need for a more nuanced understanding of student workload.

Dual language educational programmes have been enjoying widespread popularity in the Hungarian education system since their nationwide emergence more than three decades ago. While the achievements of dual language education and its contributions to language learning are evident to all stakeholders, there has been very limited academic research into the practice of subject teaching in languages other than Hungarian. Geography has been one of the most common subjects taught in L2 in 10 languages and a variety of school types, ranging from elite bilingual and international schools to national programmes to vocational schools, justifying the choice of exploring how content and language integration is realised within Geography lessons and teaching practices. The study aims to address this research gap by presenting some of the results of the first-ever subject-specific research on foreign language Geography teaching among teachers (n = 76) working in dual-language secondary schools. Survey findings reveal the patterns of how teachers integrate L2 and language teaching methods into subject content lessons, with a specific focus on the implementation of Content and Language Integrated Learning (CLIL) pedagogy and the development of disciplinary literacy in the classroom. Although the teaching experience of respondents is characterised by a more content-driven, curriculum-based approach, a high ratio of L2 interactions, and dedication to teaching resource development and methodological diversity, CLIL has not become fully integrated into the foreign language Geography education.

Teaching statistics in Primary Education remains challenging, particularly when integrating statistical literacy and gender equity within Education for Sustainable Development (ESD). This study examines how statistical projects related to Sustainable Development Goal 5 (SDG 5) contribute to the development of statistical literacy, pedagogical competencies, and an understanding of sustainability among pre-service Primary Education teachers in Chile. A mixed-methods approach was applied, involving 12 participants, which combined weekly monitoring, rubric-based assessments, and evaluation of final projects. Quantitative data were analyzed with descriptive statistics, Wilcoxon signed-rank tests, and Spearman correlations, complemented by regression models. Assumptions of independence, symmetry, and monotonicity were verified, while rubric reliability was supported through Lesson Study validation. Results showed significant differences between monitoring and oral presentation scores, as well as a strong positive correlation between monitoring and oral performance. In contrast, associations with written reports were weaker. Although exploratory due to the small sample size, the findings suggest that statistical projects linked to SDG 5 enhance statistical literacy and professional competencies, with implications for teacher education.

The strategies students use in their learning processes are crucial to their academic success, particularly in complex subjects like science. Students' preferred learning strategies can significantly influence their academic performance as they navigate scientific concepts. This study examined the relationship between academic achievement and the utilization of deep and surface learning strategies among high school students at a private institution in Carmen, Cebu, Philippines. It seeks to understand how these strategies influence science learning and suggests teaching practices to promote a practical learning experience. A mixed-method approach was employed, integrating quantitative data from a standardized questionnaire with qualitative insights from student interviews. A sample of 101 students was selected from 136 participants, determined using RAOSOFT, ensuring a 95% confidence level and a 5% margin of error. The study utilized the Revised Two-Factor Study Process Questionnaire (R-SPQ-2F) to assess learning strategies. Findings showed that high-performing students preferred deep learning strategies, though the correlation with performance was weak. Moderate academic performers used both strategies, while low performers relied on surface learning, which was linked to lower achievement. Promoting deep learning strategies alongside surface learning, especially for lower-performing students, is recommended to foster curiosity and motivation to improve academic performance and achieve long-term success.

The global context of digital transformation has compelled education systems to rapidly adapt and innovate. In Vietnam, establishing an effective digital education ecosystem is key to achieving sustainable development goals, particularly Sustainable Development Goal 4 (SDG 4) on Quality Education. However, there is a recognized lack of quantitative research on the key drivers shaping this ecosystem in the Vietnamese context. This study aims to explore and identify these main drivers. Drawing on survey data from 699 Vietnamese students and applying Exploratory Factor Analysis, we identified four prominent factors: Technological Infrastructure, Stakeholder Collaboration, Policy Orientation, and Financial Accessibility. The findings suggest these factors play a foundational role in fostering the digital transformation of higher education. These results provide preliminary empirical evidence on the underlying structures that shape Vietnam's digital education environment. This research can serve as a basis for future in-depth analyses and offers initial insights for policymakers to focus on the identified crucial factors.

This study examined the capability and scientific consistency of ChatGPT and Gemini using a two-tier test. The capability and scientific consistency of ChatGPT and Gemini were compared with those of students. The study used 60 new chats with ChatGPT and Gemini, 120 students in 8th and 9th grade, 129 students in 11th and 12th grade, 260 undergraduate elementary teacher education students (across four cohorts), and 51 students from the professional education program for elementary school teachers. Data were collected through online testing for student participants and prompting processes for ChatGPT and Gemini using a 25-item two-tier test. Quantitative data analysis was employed to compare capability and consistency scores across all subjects. Qualitative-descriptive analysis was also conducted to examine the aspects of capability and scientific consistency behavior of ChatGPT and Gemini. Data analysis showed that the capability and scientific consistency of ChatGPT-4 and Gemini in responding to the test type were categorized as low and below the entry threshold, and higher than those of the students. Both generative AI systems performed better at providing theoretical justifications or reasoning than at answering factual questions about static fluids. ChatGPT outperformed Gemini only in the combined scores for Tier-1 and Tier-2 items. Both generative AI systems demonstrated conceptual insights and understanding of static fluids, though these insights sometimes contained biases and contradictions. As AI systems built on large language models, ChatGPT and Gemini heavily rely on availability and require a more extensive and diverse database containing static fluid cases.

This study synthesizes academic literature on Internal Quality Assurance (IQA) and stakeholder engagement in higher education, focusing on systems operating beyond formal accreditation. Using a PRISMA-guided Systematic Literature Review (SLR), this research analyzed 22 studies published between 2010 and 2025 from four major databases (Scopus, Taylor & Francis, ScienceDirect, and ERIC) through thematic synthesis and bibliometric mapping. The findings reveal that IQA is conceptualized as an autonomous, improvement-focused system that fosters a quality culture through diverse models. Effective multi-stakeholder engagement, involving faculty, students, and staff, is identified as crucial for success. While challenges such as leadership and resource constraints exist, they can be overcome by enablers like strong leadership and participatory cultures. This review contributes uniquely by synthesizing IQA practices outside formal accreditation, emphasizing participatory engagement for developing an intrinsic quality culture, and highlighting emergent research from Global South contexts. The findings can inform policymakers, higher education leaders, and practitioners in creating effective IQA systems and guide future research.

Information and Communication Technology (ICT) is increasingly developed and widely applied in education. Accordingly, teacher-training schools are continually improving pre-service teachers' ICT capacity. However, studies on ICT integration for pre-service teachers are still scattered. In this article, the author conducts a comprehensive systematic review of studies on ICT integration for pre-service teachers using bibliometric analysis techniques. Data from the Scopus database comprising 415 studies were analyzed using VOSviewer and Biblioshiny. In addition, the research designs used in the 10 most-cited articles were analyzed. The research results show that the first studies in this field appeared in 1997, but the number of publications has increased rapidly since 2018. Australia, Turkey, and Spain are the most influential countries in this field, while scholars from Belgium, Finland, and Singapore are among the most productive authors. The authors tend to publish in sources that are not highly ranked in Scopus. Research topics related to ICT integration of pre-service teachers can be classified into three main trends, including the use of ICT tools in higher education institutions under the impact of COVID-19, ICT integration models for professional development in teacher education, and research assessing the understanding and capacity of ICT integration and digital transformation of pre-service teachers at universities. This study analyzed the research trends on ICT integration of pre-service teachers to closely monitor the rapid development of this research area.

Despite the increasing integration of artificial intelligence (AI) into education, a comprehensive understanding of how scholarly discourse has evolved over time remains limited. Most existing studies focus on technical implementation or short-term pedagogical outcomes, often lacking longitudinal scope or thematic synthesis. This study addresses that gap by offering a 25-year bibliometric analysis of AI-related educational research, mapping its conceptual development, publication trends, and emerging priorities from 2000 to 2025. Using data sourced from Lens.org and processed through Biblioshiny (R-Studio) and VOSviewer, 350 peer-reviewed articles were analyzed based on their thematic focus, keyword evolution, authorship patterns, and citation networks. The novelty of this study lies in its integration of bibliometric mapping with temporal thematic evolution, enabling a detailed understanding of how foundational concepts, such as lifelong learning, AI literacy, and ethics, have transitioned from peripheral concerns to central research themes. Findings show a sharp increase in publication volume after 2018, reflecting the impact of cloud-based AI platforms and the pandemic-induced pivot to remote education. While “artificial intelligence” and “education” remain dominant keywords, emerging themes such as “student well-being,” “digital competency,” and “personalized learning” suggest a shift toward more human-centered and ethically conscious AI applications. The study concludes by identifying persistent gaps related to pedagogical effectiveness, global equity, and critical digital literacy, offering a roadmap for future interdisciplinary research and inclusive educational policy.

The emergence of artificial intelligence (AI) has transformed higher education, creating both opportunities and challenges in cultivating students’ critical thinking skills. This study integrates quantitative bibliometric analysis and qualitative systematic literature review (SLR) to map global research trends and identify how critical thinking is conceptualized, constructed, and developed in the AI era. Scopus served as the primary data source, limited to publications from 2022 to 2024, retrieved on February 8, 2025. Bibliometric analysis using Biblioshiny R and VOSviewer followed five stages—design, data collection, analysis, visualization, and interpretation—while the SLR employed a deductive thematic approach consistent with PRISMA guidelines. A total of 322 documents were analyzed bibliometrically, and 34 were included in the qualitative synthesis. Results show that Education Sciences and Cogent Education are the most productive journals, whereas Education and Information Technologies have the highest citation impact. Several influential documents and authors have shaped global discussions on AI adoption in higher education and its relationship to critical thinking. Thematic mapping identified five major research clusters: pedagogical integration, ethical and evaluative practices, technical and application-oriented AI models, institutional accountability, and socio-technical systems thinking. Conceptually, critical thinking is understood as a reflective, evaluative, and metacognitive reasoning process grounded in intellectual autonomy and ethical judgment. Across the reviewed literature, strategies for fostering critical thinking converge into three integrated approaches: ethical curriculum integration, pedagogical and assessment redesign, and reflective human–AI collaboration. Collectively, these strategies ensure that AI strengthens rather than replaces human reasoning in higher education.

This study aims to investigate the effect of digital leadership, creativity, and proactive personality on innovative work behavior (IWB) through work engagement. The research involved 436 private school teachers in Indonesia. The research data were collected by a Likert scale questionnaire. Data analysis is done using structural equation modeling based on Partial Least Squares (SEM-PLS), with descriptive and correlational analysis as supplements. The findings indicated that digital leadership, creativity, proactive personality, and work engagement affect teacher IWB; digital leadership, creativity, and proactive personality impact teacher work engagement; and digital leadership, creativity, and proactive personality affect teacher IWB through work engagement. These findings introduce a new empirical model of the influence of digital leadership, creativity, and proactive personalities on teachers' IWB through work engagement. This model deserves to be discussed critically and in-depth, and adapted and adopted by researchers to enrich their future research. This model can also be modified and adopted by school practitioners (management) to accelerate and optimize teachers' IWB capacity based on digital leadership, creativity, proactive personality, and work engagement.

Learning to read constitutes one of the most important cognitive abilities students acquire during their education, and teachers’ knowledge of reading instruction is considered significant to teaching quality and students’ achievement. This paper aims to systematically review the existing research on teacher knowledge of reading instruction over the past six years, following the PRISMA statement’s guidelines, to identify the current research trends, areas of research, and research gaps. Three main research areas are identified in the 22 reviewed articles, namely (a) Teacher knowledge (TK) exploration, (b) TK assessment, and (c) TK development. More specifically, research on TK exploration includes sub-themes such as examining TK, investigating the relationship between TK and practice and student achievement, and influencing factors of TK. TK assessment includes research on the development and validation of more comprehensive measurement tools to assess teachers’ content knowledge and pedagogical content knowledge of reading instruction. TK development involves the effectiveness of interventions on TK of reading instruction in teachers’ professional development programs. Future studies are recommended to use a more diverse range of methods, including both quantitative and qualitative approaches to study teachers’ knowledge in their classroom practice, and to focus on teachers’ active role as knowledge constructors. Studies in L2 reading contexts are also recommended.