The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance.

In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital literacy skills need to be trained to adapt to the demands of the world of work. This article aims to present the results of a study on factors that can improve the digital literacy practice for vocational students as a roadmap for digital learning in the current era. The sampling technique used purposive random sampling of 8 Vocational Schools in East Java Province, Indonesia. The number of respondents in this study amounted to 355 second-year students. The study has found that online learning, motivation, and technology introduction are influenced by students' digital literacy practices, while teacher readiness and infrastructure must be mediated by online learning. The findings in this study indicate that collaboration from various parties is needed from teachers, school administrators, and policymakers in planning learning that focuses on students' digital abilities.

This study aimed to investigate the effect of character teaching on college student socioemotional character development. The study was conducted at IAIN Pontianak, Universitas Tanjungpura and Universitas Muhammadiyah Pontianak. The sample was 1284 students, 388 male and 896 female. Partial least square-structural equation modeling (PLS-SEM) data analysis using SmartPLS was used. The findings reveal that character teaching has a significant and positive effect on college student honesty, prosociality, respect at home, respect at school, self-control, and self-development. This study suggests that colleges/universities ensure that lecturers supervise student assignments, seriousness and discipline, check students’ attendance strictly, give course assessment samples, and grade their assignments on schedule. At the end of the conclusion, implications and suggestions are given.

The outbreak of COVID-19 has affected the educational sector globally. One of the impacts of this outbreak is observed in the implementation of digital learning, which involves problems such as poor internet connection and a lack of information technology facilities. However, university youth could be seen as resilient if they could keep up with good academic performance despite going through various challenges of digital learning. Thus, this research would like to explore the resilience of university youth while undergoing the challenges of digital learning during the COVID-19 pandemic. This research adopted a qualitative approach, and data were collected through semi-structured interviews. Purposive sampling was used, where five respondents among the University Malaysia Terengganu (UMT) youth with a cumulative grade point average (CGPA) of 3.50 and above were selected in this research. The research found that the challenges faced by the majority of the respondents during digital learning were the non-conducive learning environment and the poor internet connection. In addition, findings also found two protective factors that helped the respondents be resilient, identified as the internal factor (i.e., self-concept and cultural sensitivity) and the external factor (i.e., parents' support and positive peer relationships). The research findings showed that the university youth also need support and help from various parties alongside their own efforts in academics in order to face any kinds of risky situations and grow as resilient youth.

Online learning has become increasingly popular, making the learning process more attractive. One of the most popular learning media is artificial intelligence (AI). However, students do not accept this technology at all. Therefore, this study examined the factors influencing accounting students' acceptance of AI in learning. The survey was conducted with 147 higher-education students who use AI as a learning medium. The data were analyzed using SmartPLS 4.0 with the partial least square approach. The results showed that perceived usefulness influenced behavioral intention to use and satisfaction. However, perceived ease of use was only significant for satisfaction. Similarly, perceived confidence must be consistent with intention. Although it may influence perceived usefulness, other constructs, such as AI quality and personal innovativeness, can increase students' perceptions of the benefits and convenience of adopting AI in learning. Thus, this study contributes to the development of the technology acceptance model (TAM) and the information systems success model and is helpful to scholars, especially in applying AI in learning. They need to pay attention to the quality of AI, such as the accuracy of the information produced. Thus, the need to control the information from the AI only serves as a reference without requiring you to trust it completely.

Flipped learning (FL) is one of the recent pedagogical models that seeks to promote student agency and hone 21st century skills for lifelong learning through its emphasis on collaboration, creativity, critical thinking, and autonomy. However, only some physical education (PE) classes globally have adopted this method and researched its effectiveness. Thus, this qualitative study discovered how the SPRING online FL model helped enhance the 21st century skills of college PE students. From the students’ responses in the questionnaire and the teacher-researchers observation notes, it was revealed that FL aids in the students’ 21st century skills as it allows the students to collaborate and improve their social skills; analyze people, tasks, and situations to create an output that is not only ingenuous and entertaining but beneficial to all; and study and master the skills independently at their own pace. Future studies can explore testing the SPRING model's effectiveness in younger students and other learning contexts.

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.

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.

This study examines the impact of Project-Based Learning (PjBL) on developing metacognitive skills among preservice science teachers (PSTs) in Northeast Thailand. A sample of 143 PSTs, including first-year students in General Biology 1, second-year students in General Physics 1, and third-year students in Basic Organic Chemistry, participated in an 18-week programme. The study aimed to assess changes in metacognitive skills before and after PjBL implementation, evaluate differences among academic years, and identify predictors of skill development. The methodology included a six-hour orientation workshop and a collaborative, project-based curriculum. Descriptive and inferential statistics were employed, with the item-objective congruence index (IOC) for content validity, paired samples t-tests for pre- and post-intervention comparisons, and Analysis of Variance (ANOVA) to examine differences across academic years. Multiple regression analysis was used to identify significant predictors of metacognitive skill development. Results showed significant improvements in metacognitive skills post-PjBL, with substantial enhancements across all subjects. ANOVA indicated significant differences among academic years, with third-year students demonstrating the highest metacognitive skill levels. Multiple regression analysis identified participation in PjBL and academic level as significant predictors of metacognitive skill development. These findings highlight the effectiveness of PjBL in enhancing metacognitive skills and underscore the importance of active learning and reflective practices in teacher education programmes. This study provides valuable insights into the impact of PjBL on PSTs' professional growth and instructional efficacy, preparing them for modern classroom challenges.

This study aims to evaluate the effectiveness of cooperative learning models in improving critical reading skills. This study uses a meta-analysis study method by analyzing 28 articles extracted from the databases of Scopus, Google Scholar, EBSCO, EmeraldInsight, Science & Direct, SpringerLink, Taylor & Francis, and ProQuest. The meta-analysis allows researchers to combine the results of previous research, providing a more comprehensive picture of how effective a particular approach is in teaching critical reading. The research findings show that cooperative learning models significantly improve essential skills of reading more effectively than traditional ones. This is shown by the effect sizes based on the fixed model, showing the overall standard difference in the mean is 0.784 (95% CI, 0.689 to 0.880) with p-values = 0.00 (<0.05). Using a cooperative learning model, The measure showed positive effect sizes on critical reading learning. Based on these results, it can be concluded that the cooperative learning model effectively improves essential reading skills. However, several factors, such as the quality of the facilitators and the teaching methods, influence the results. The implications of this study show the need for a broader application of cooperative learning models to improve critical reading skills in schools and other educational institutions, with adjustments to the needs and characteristics of students.

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.