Existing studies have explored the repercussions of school closures. The researchers were interested in exploring the virtual health and physical education program (VHPEP) by identifying existing practices, drawing a more profound understanding of teachers’ experiences, identifying parents’ roles played in support of their children and teachers, and finally recommending inputs for a better VHPEP. Using a criterion-based selection, twenty participants, encompassing ten teachers and ten parents, were recruited for this study. The study employed a qualitative case study design. The results found that implementing VHPEP involved various issues and challenges in class management, including limited student interaction, difficulty sustaining interest, ineffective assessment methods, and instances of student cheating. These challenges prompted teachers to shift their pedagogical practices, focusing on making adjustments and developing new strategies to ensure student participation. Additionally, the study found that teachers experienced anxieties and realized the importance of self-reflection, including the importance of implementing measures to mitigate anxieties, gaining new perspectives on teaching, and grappling with the unique difficulties and opportunities of the virtual teaching modality. This study also shed light on the diverse roles that parents played in supporting their children and collaborating with teachers. Lastly, the study identified crucial aspects for improving VHPEP. While this study gives much attention to valuable insights provided by teachers and parents as collaborative partners for a quality VHPEP, caution should be exercised because the research is based on specific contexts and individual experiences.

This article explores the integration of physics knowledge and science, technology, engineering, arts, and mathematics (STEAM) education in high schools through a unique project that connects traditional Vietnamese culture with the production of moon-shaped lutes. The moon-shaped lute, known as “Đàn Nguyệt” in Vietnamese, holds great cultural significance in Vietnam. By incorporating physics principles into the lute production process, students develop a deeper understanding of its construction, sound production, and structural stability. They explore concepts like material selection, sound propagation, and ergonomic design to enhance the instrument’s craftsmanship and playability. This interdisciplinary approach not only fosters scientific and technical skills but also preserves and promotes traditional Vietnamese culture. Engaging students in projects that combine art, science, and culture highlights the power of STEAM education in nurturing well-rounded individuals who have a strong connection to their heritage. The integration of physics knowledge and cultural elements in this project demonstrates the value of interdisciplinary learning and its impact on students’ appreciation for their cultural identity.

Implementing online learning has led to several issues, especially those related on assessments to measure students’ learning achievement. This study aimed to obtain accurate information on learning assessments for vocational high school (VHS) students during online learning, including assessment for learning (AfL), assessment as learning (AaL), and assessment of learning (AoL). It also investigated students’ perceptions of the assessments based on their grades. This quantitative research employed the survey method, collecting data through questionnaires. The population of this research is VHS students in Indonesia, totaling 86,885 students. The participants of this study were 487 VHS students. The data were analyzed using descriptive and ANOVA techniques. The results show that most VHS students positively perceive the assessment of learning achievements in online learning for AfL, AaL, and AoL aspects. Moreover, there is a significant difference in students' perceptions of the assessment in online learning based on grades. The perception of class XII students is the highest (average value = 3.90) of all classes, while the other classes have an average value of 3.38 for class XI, and the average value of class X is 3.81.

The Attraction-Selection-Attrition (ASA) model is a prominent framework for supporting employee retention, stating that organisations attract, select, and retain people who share their values. However, the ASA model only extends to the end of the recruitment stage and lacks clarity on how to assist newcomers in the assimilation process when they first join the organisation. This research proposed a refinement of the ASA paradigm by incorporating the assimilation process of new hires into the new school culture and environment. This study employed a qualitative research approach by interviewing ten participants about the retention process from high teacher retention international schools in Malaysia. Thematic data analysis revealed a new paradigm, 'Attraction-Selection-Onboarding-Retention (ASOR), ' designed to increase teacher retention in international schools. The ASOR model could assist school administrators and human resource managers working in a related setting in properly engaging the workforce to increase teacher retention. This would benefit school sustainability, performance and the local community's economy.

This study investigated young children’s recognition of social rules and responses to social-conventional transgressions in Japanese preschool settings. One hundred twenty-six children aged three to six years old heard four hypothetical stories that describe typical social-conventional transgressions in Japanese preschools. They were asked about their feelings when they witnessed each transgression (emotional response), whether they thought it was better to follow social rules and act like everyone else (social convention judgment), their justification for the judgment, and their willingness to play with the transgressor (interaction judgment). Most participants in all age groups valued following social rules and judged that the transgressor should act like everyone else, but five-year-olds generated more group- and other-oriented justifications for the judgment. Although there were no significant age group differences in interaction judgment, further analysis showed that three-year-olds’ willingness to play with the transgressor was positively related to their positive emotion, whereas such relationships were not found in four- and five-year-olds. The results demonstrate that Japanese children’s responses to social-conventional transgressions become more social and complex throughout young childhood in the Japanese cultural context.

In this article, which is part of a broader investigation based on the study of the educational and socio-occupational re-engagement processes of young people in vulnerable situations, the curricular design of the vocational training programs (VTP) is described. Further, the curricular practices developed in the classrooms of these programs are analyzed, based, above all, on how the contents are selected, as well as the methodological approaches for their development. The research methodology that was followed responds to the conduct of multiple case studies with the integration of quantitative and qualitative processes. The data collection instruments used for this purpose were questionnaires, interviews, and discussion groups. The conclusions reveal the selection of contents that are relevant, interesting, and close to the reality of the students. The development of these contents is displayed through varied methodological strategies and diverse activities that enhance the students’ involvement and the practical sense of their learning.

Critical thinking is a skill that enables individuals to keep pace with changes and enhances crucial competencies for contemporary competitiveness. Many researchers have studied learning management approaches to develop students' critical thinking, resulting in a substantial body of knowledge but lacking clear systematic summaries. The researchers aimed to (a) examine the effect sizes and research characteristics influencing students' critical thinking, and (b) compare the effect sizes of learning management approaches after adjusting with propensity score matching from 108 graduate research published between 2002 and 2021. Data were collected using research characteristics recording forms and research quality assessment questionnaires. Effect sizes were calculated using Glass's method and analyzed through random effect, fixed effect, and regression meta-analysis. Findings revealed that (a) research on developing learning management approaches influences students' critical thinking at a high level (d ̅ = 1.669), with nine research characteristics, including the field of publication, courses, total duration, teacher learning process, learning media, measurement and evaluation, research design, research statistics, and research quality, statistically significantly influencing students' critical thinking, and (b) after adjustment, inquiry-based learning significantly influences students' critical thinking. Recommendations for developing students' critical thinking include learning activities that encourage problem exploration, expanding thinking through collaborative analysis, and applying diverse media and activity sheets tailored to context suitability.
 

This study is an attempt to develop a grounded theory on how adult education in higher education (AEHE hereafter) programs in the Philippines are created and maintained. The grounded theory illustrates the interrelation of factors that stimulate or serve as the drivers of AEHE in higher education institutions in the Philippines as well as the management and maintenance of AEHE at the operational and strategic levels, hence illustrating the bigger picture of adult education in higher education in the Philippines. Funded by the Commission on Higher Education (CHEd) of the Philippines, this study was part of a larger research project that investigated adult education in Philippine higher education institutions, that is, State Universities and Colleges (SUCs) and Private Higher Education Institutions (PHEIs). The data were derived from focus group discussions (FGD) with 43 participants from eight SUCs and nine private HEIs that have adult education programs that are regularly offered every academic year. The grounded theory drawn from the study pointed to the contextual – personal and institutional – factors, strategic and operational levels of management as well as the critical role of academic policy for the implementation and maintenance of AEHE programs, collaboration, and a compelling vision to ensure that adult education in higher education in the Philippines is prioritized in the country with involvement of relevant government agencies that will draw definite agendas and priorities to attain the goals of AEHE through a structure and management to carry out its functions and realize its compelling objective of creating a cadre of AEHE educators and specialists and adults suited for the demands of a knowledge-driven economy.

Analytical thinking is crucial for developing problem-solving, decision-making, and higher-order thinking skills. Many researchers have consistently developed learning management models to enhance students' analytical thinking, resulting in extensive knowledge but lacking clear systematic summaries. This study aims to: (a) explore the effect sizes and research characteristics influencing students' analytical thinking, and (b) compare the effect sizes of learning management models after adjusting for propensity score matching. In exploring 131 graduate research papers published between 2002 and 2021, the research utilized forms for recording research characteristics and questionnaires for assessing research quality for data collection. Effect sizes were calculated using Glass's method, while data analysis employed random effects, fixed effects, and regression meta-analysis methods. The findings indicate that (a) research on learning management models significantly impacts students' analytical thinking at a high level (d̅ = 1.428). Seven research characteristics, including year of publication, field of research, level, duration per plan, learning management process, measurement and evaluation, and research quality, statistically influence students' analytical thinking, and (b) after propensity score matching, learning through techniques such as KWL, KWL-plus, Six Thinking Hats, 4MAT, and Mind Mapping had the highest influence on students' analytical thinking. Recommendations for developing students' analytical thinking involve creating a learning management process that fosters understanding, systematic practical training, expanding thinking through collaborative exchanges, and assessments using learning materials and tests to stimulate increased analytical thinking.

 This study examines the research trends of Design Thinking (DT) in education during the period 2014–2024 through a systematic literature review. This study aims to analyze annual publication patterns, implementation across educational levels, research methodologies, authorship distribution, geographical spread, journal type distribution, and key themes from highly-cited publications in DT education research. The results show a significant increase in publications, especially in 2023–2024, reflecting growing academic interest in DT as an innovative approach to developing 21st-century skills. Qualitative research methods dominate, with most studies involving collaborative authorship. DT application was initially focused on higher education but expanded in secondary education while remaining limited in primary education. Asia leads in research contribution, while Africa shows lower output. Publications are distributed across educational, design-focused, and interdisciplinary journals. These findings underscore the importance of cross-disciplinary and global collaboration to accelerate DT adoption equitably. This study recommends strengthening educator training, developing holistic evaluation methods, and expanding quantitative research for more inclusive DT implementation.

This article aims to answer the research question: How do 5th grade students experience the use of artificial intelligence (AI) tools to create a comic strip describing the survival struggle between the Myna and the Lesser Kestrel? This study utilized a case-study approach to examine the advantages and challenges experienced by 5th grade students using AI tools to create a comic strip about the Lesser Kestrel's survival struggle. Data were collected through qualitative methods, including student reflections, drawings, and analyses of the comic strips they created. Additionally, a questionnaire was used to assess students' attitudes towards the four components of 21st century skills: Creativity, critical thinking, collaboration, and communication. The study indicates that the development of 21st century skills among students requires a collaborative effort involving both parents and teachers. It is not sufficient to rely solely on technological tools; there must be intermediary processes and support from teachers, who are obliged to adjust their teaching methods. Additionally, a teaching approach that supports the creation of a future citizen with a humanistic outlook and awareness of the complexity of life, is essential. This approach develops students' environmental citizenship, which is also an important 21st century skill. This involves integrating ethical, inclusive, and holistic perspectives to address complex problems, such as the survival struggle between the Lesser Kestrel and Myna.

The higher education system in Vietnam is undergoing a significant shift from training based on university capacity to training based on labor market demands. In a developing economy dominated by small and medium-sized enterprises, it is a big challenge to train graduates to meet changing and very diverse competence requirements. AI and machine learning tools are applied in three stages: (a) processing survey data: Expected learning outcomes (pELOs) are quantified into credit values, with each module's contribution determined using the apriori algorithm and expert methods; (b) Optimizing framework curricula (FC): A genetic algorithm identifies module combinations that meet all pELOs while minimizing redundancy within a specified study duration; (c) Framework curriculum adjustment (FCA): An FCA tool, using genetic algorithms, enables schools to update FC annually and allows learners to personalize their programs. WEKA is used to implement the apriori algorithm (https://www.cs.waikato.ac.nz/ml/weka). The PASCAL language is used to write GA and its associated subroutines. Foreign language bachelor's degree programs at the University of Languages and International Studies Vietnam National University, Hanoi, (ULIS-VNU) were used to test algorithms and procedures. According to the calculations, present FCs have caused overstudy and can be modified for every employment post to reduce the surplus credit values that have accrued. Furthermore, FCA can assist in making the curriculum more flexible so that students can more easily switch out FC modules based on their skills and circumstances while still meeting all of the stated ELOs. Under project number N.21.13, this research piece was finished with assistance from ULIS-VNU.

This article provides a comprehensive guide to conducting and documenting systematic reviews (SRs) in educational research. While SRs are increasingly recognized for their value in synthesizing and evaluating literature on specific research questions or topics, there remains a notable scarcity of research-based papers that guide their development within the field of education. Systematic reviews, distinguished from traditional literature reviews by their standardized processes—including systematic searching, selection, and critical appraisal of relevant studies—offer a more accurate and comprehensive understanding of the research landscape by integrating findings from multiple sources. This paper underscores the importance of adhering to established methodologies and guidelines to ensure the quality and reliability of SRs. Essential elements discussed include defining research questions, developing search strategies, applying inclusion and exclusion criteria, and synthesizing results. The paper also highlights the role of frameworks such as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in enhancing transparency and methodological rigor. By following this structured approach, researchers can produce systematic reviews that provide valuable insights into educational practices and policies, thereby supporting evidence-based decision-making and advancing the field of education.

This research aims to systematically review the integration of artificial intelligence (AI) in English language teaching and learning. It specifically seeks to analyze the current literature to identify how AI could be utilized in English language classrooms, the specific tools and pedagogical approaches employed, and the challenges faced by educators. Using the PRISMA-guided Systematic Literature Review (SLR) methodology, articles were selected from Scopus, Science Direct, and ERIC, and then analyzed thematically with NVivo software. Findings reveal that AI enhances English teaching through tools like grammar checkers, chatbots, and language learning apps, with writing assistance being the most common application (54.55% of studies). Despite its benefits, challenges such as academic dishonesty, over-reliance on AI (27.27% of studies), linguistic issues, and technical problems remain significant. The study emphasizes the need for ethical considerations and teacher training to maximize AI’s potential. It also highlights societal concerns, including the digital divide, underscoring the importance of equitable access to AI-powered education for learners of all socioeconomic backgrounds.

STEM/STEAM education is an interdisciplinary pedagogical approach that cultivates skills in science (S), technology (T), engineering (E), arts (A), and mathematics (M) while also fostering 21st century skills like teamwork, problem-solving, critical thinking, and creativity in learners. Enhancing STEAM and 21st century skills for engineering students facilitates their swift adaptation to STEM/STEAM employment demands in the 4.0 industrial revolution and the ongoing digital transformation in Vietnam. This study aims to investigate the effect of STEAM project-based learning on the 21st century skills of 47 mechanical engineering technology students at a public university in Vietnam. The findings of a one-group pretest-posttest design and an analysis of engineering student groups’ STEAM project-based learning products revealed that there was a significant improvement in students' 21st century skills at a 95% confidence level. Among the three 21st century skills studied, engineering students’ collaboration skill showed a moderate effect size, while problem-solving and creative thinking skills demonstrated a large effect size after implementing STEAM project-based learning in the “Workplace Skills” course. Some significant limitations were identified, including (a) the lack of a comparison group, which may have influenced the difference between the pretest and posttest; and (b) the sustainability of 21st century skills developed through STEAM project-based learning in the “Workplace Skills” course was not investigated. Therefore, studying the effect of other factors on engineering students’ 21st century skills and exploring their sustainability were main recommendations for further research.

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.