This study analyzes trends, collaborations, and research developments on augmented reality (AR) in mathematics education using a bibliometric approach. Data were collected from the Scopus database on July 31, 2024, identifying 542 documents published between 2015 and 2024. After screening, 194 journal articles were selected for analysis. Using VOSviewer, the study produced visualizations related to document types, publication trends, journal sources, research subjects, institutions, countries, keywords, and author collaborations. The results show that 88.7% of the documents are journal articles, indicating that this topic is predominantly published in scholarly journals. Publication trends reveal significant growth since 2016, peaking in 2024, reflecting increasing global interest. Education Sciences and IEEE Access are among the top journal sources. Subject-wise, social sciences and computer science are the main disciplines exploring AR in mathematics education. Chitkara University (India) and Johannes Kepler University Linz (Austria) are leading institutions, while the United States, Malaysia, and Spain contribute the most publications. Keyword analysis shows rapid growth in research using terms such as "augmented reality" and "mathematics education," emphasizing the role of immersive technology in enhancing student engagement and conceptual understanding through visual and interactive learning. Influential authors like Lavicza, Mantri, and Haas highlight the importance of global collaboration. Based on a thematic analysis of the most-cited articles, this study proposes the AI Mathematical Education Impact and Outcome Framework. In conclusion, although research on AR in mathematics education has significantly advanced, further studies are needed to evaluate its effectiveness across varied educational contexts.

Artificial intelligence (AI) has revolutionized higher education. The rapid adoption of artificial intelligence in education (AIED) tools has significantly transformed educational management, specifically in self-directed learning (SDL). This study examines the factors influencing Indonesian higher education students' intention to adopt AIED tools for self-directed learning using a combination of the Theory of Planned Behavior (TPB) with additional theories. A total of 322 university students from diverse academic backgrounds participated in the structured survey. This study utilized machine learning it was Artificial Neural Networks (ANN) to analyze nine factors, including attitude (AT), subjective norms (SN), perceived behavioral control (PBC), optimism (OP), user innovativeness (UI), perceived usefulness (PUF), facilitating conditions (FC), perception towards ai (PTA), and intention (IT) with a total of 41 items in the questionnaire. The model demonstrated high predictive accuracy, with SN emerging as the most significant factor to IT, followed by AT, PBC, PUF, FC, OP, and PTA. User innovativeness was the least influential factor due to the lowest accuracy. This study provides actionable insights for educators, policymakers, and technology developers by highlighting the critical roles of social influence, supportive infrastructure, and student beliefs in shaping AIED adoption for self-directed learning (SDL). This research not only fills an important gap in the literature but also offers a roadmap for designing inclusive, student-centered AI learning environments that empower learners and support the future of SDL in digital education.

Research in mathematics education and interdisciplinarity is varied and extensive, covering multiple approaches that reflect a growing interest in this type of perspective. The objective of this study is to systematize the findings of research on interdisciplinary mathematics education published between 2019 and 2024. The review was carried out following the guidelines of the PRISMA statement, allowing us to identify 49 articles published in journals indexed in the Web of Science (WOS) and Scopus databases. Subsequently, a content analysis was carried out to identify methodological and theoretical aspects present in the studies reviewed, such as methodology employed, education level of participants, disciplines integrated with mathematics, and types of interdisciplinary tasks proposed. Additionally, four main research themes were identified: (a) understanding of interdisciplinarity; (b) pedagogical strategies for interdisciplinary development in mathematics education; (c) interdisciplinarity for the development of mathematical skills; and (d) professional development of mathematics teachers. The results reveal a sustained increase in the number of publications, which reflects a growing interest in the interdisciplinary approach in mathematics education. Finally, several challenges and opportunities are highlighted for future research, including the need to develop an interdisciplinary teacher training model, the creation of pedagogical strategies that promote greater interconnection between disciplines, and the need to carry out more studies focused on early childhood and primary education in this area.

This systematic review synthesizes research on the application of Augmented Reality (AR) technology in K–12 special education to evaluate its impact on learning outcomes and identify implementation trends, benefits, and challenges. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a search of the Scopus, IEEE, Web of Science, and ProQuest databases on 20 March 2024 for English-language peer-reviewed articles published between 2010 and 2024 yielded 16 studies that met the inclusion criteria. The analysis of these studies reveals a growing research interest, particularly after 2019, with a concentration of research in developing nations like Indonesia and Malaysia. The findings consistently show that AR technology interventions, predominantly targeting students with learning disabilities and autism spectrum disorder (ASD) through 3D objects and game-based applications, positively impact academic achievement, motivation, and skill development. Despite these promising outcomes, this review concludes that a significant gap remains between the technology's potential and its current practice, hindered by challenges such as high costs, technical complexity, and a narrow research focus. Therefore, future work should prioritize developing cost-effective, user-friendly AR technology and expanding research to include a wider range of disabilities and educational contexts to ensure equitable and effective access for all students. 

Higher-order thinking skills (HOTS) are important for students to improve their ability to analyze, solve problems, and use critical thinking. This research aims to measure the use of flipped learning to enhance students’ higher-order thinking skills. The scaffolding, questioning, interflow, reflection, and comparison (SQIRC)-based flipped learning model is used in this research. It is a combination of online and face-to-face learning that provides opportunities for students to be more active and independent in learning. This model can improve students’ critical thinking skills, as seen from learning outcomes. This research is a quasi-experimental study using 43 students in the Introduction to Accounting course, divided into a control group and an experimental group. In the Introduction to Accounting course, HOTS is essential because this course emphasizes theory and requires the application of the theory in solving problems in accounting records. The results found that implementing the SQIRC-based flipped learning model increased student learning outcomes from pre-test to post-test, and the learning outcomes of the experimental group were higher than those of the control group.

Augmented Reality (AR) technology is emerging as a promising tool in education, offering immersive and interactive learning experiences that enhance students’ understanding of abstract scientific concepts. This quasi-experimental study investigated the impact of AR on student learning outcomes in chemistry topics, including acids, bases, pH, oxides, and salts, among lower secondary students in Vietnam. A total of 191 students participated in the study, divided into two groups: the experimental group (n = 94) received AR-integrated lessons. The control group (n = 97) received instruction through traditional methods, including lectures and discussions. Data were collected at three points: prior to the intervention (Test 0, baseline) to establish group equivalence; during the intervention (Test 1) to monitor interim changes; and after the intervention (Test 2) to evaluate overall impact. These were complemented by semi-structured surveys and interviews to assess students’ academic performance, conceptual understanding, and active engagement in the lessons. Mixed-effects ANCOVA revealed a significant Group × Time interaction, F(1,188) = 9.93, p = .002, partial η² = .050, indicating that the experimental group demonstrated significantly greater improvement than the control group. The large between-group effect size (partial η² = .231) confirms substantial practical significance of the AR intervention. Qualitative findings indicated that the use of AR enhanced students’ motivation, engagement, and conceptual understanding by enabling them to visualize three-dimensional molecular structures and conduct simulated experiments in a safe, controlled environment. Despite challenges such as limited technological infrastructure and the need for specialized teacher training, the study demonstrates that AR holds considerable potential for transforming chemistry education in Vietnam. These findings underscore the importance of continued research, targeted professional development, and supportive policies to optimize the integration of AR into diverse educational settings, ultimately improving students’ interest and learning outcomes.

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.

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.

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.