This study investigates whether digital competency and self-leadership influence teachers’ innovative work behavior in Islamic International schools. The participants in the quantitative research were 108 teachers from the Islamic International School, who were selected using saturated sampling. The researchers used a 41 items questionnaire to collect data on the study variables. Quantitative data were analyzed by applying structural equation modeling partial least squares (SEM-PLS) using Smart-PLS 3. According to the study's findings, digital competency has a positive and significant impact on innovative work behavior, while self-leadership also has a positive impact that significantly influences innovative work behavior. Overall, the impact of digital competency and self-leadership simultaneously was 0.584 or 58.4%, while the other variables not tested in this study influenced the other 41.6%. This research emphasizes schools to improve building their teachers’ innovative work behavior and for teachers themselves through training, self-development programs, building knowledge sharing among teachers and school leaders, and open ideas about developing pedagogical and sustainable programs for schools.

Heritage education is an integral component of general and higher education programs. It helps students understand the national culture and arouses their love for the country. The quantitative study was conducted with the participation of 822 students in the FPT University system. Multiple linear regression analysis and Pearson correlation results help determine the relationship between heritage education’s learning outcomes, including Vovinam martial arts and traditional musical instruments, and students’ patriotic and nationalistic attitudes. Accordingly, promoting learning outcomes related to Skills, Attitudes, and Behaviors positively impacts the development of students’ patriotism and nationalism. The study affirms the role of heritage education programs in the education system in Vietnam, especially at the university level. It confirms the necessity of this type of education at all stages of learners’ development, especially in the research context at FPT University.

The introduction of English language teaching (ELT) at the preschool level has been widely discussed by researchers. While most agree with ELT at preschool level, considerable issues are faced in learning a second, third, or foreign language. Therefore, this systematic review discusses the issues preschool teachers face in implementing ELT and their beliefs on how ELT should be applied to young children. Using three renowned databases, namely Scopus, Web of Science (WoS), and Educational Resources Information Centre (ERIC), 34 articles were extracted out of 85 articles, from 2012 to 2022, with exclusion and inclusion criteria taken into consideration. The findings of this study showcased eight main issues faced by preschool teachers in implementing ELT: English language proficiency, pedagogical skills, teacher perception, curriculum, teaching resources, training, socio-cultural, and classroom environment. In terms of preschool teachers' beliefs about ELT, there are four main issues: Bilingual education, children's characteristics, curriculum alteration, and teachers’ experience. Generally, these findings will guide teachers, responsible authorities, and researchers to acquire an overview of the actual issues that occur in the implementation of ELT in preschools as well as the appropriate measures to overcome them, starting from the preschool teachers' beliefs.

Compliance with any policies, laws and regulations, including university compliance with quality assurance mechanisms globally, depends on the practicability of those mechanisms. Like other countries, Tanzania has quality assurance mechanisms that require universities to comply. However, the existing audit reports have shown non-compliance cases to such mechanisms. This study sought to explore the practicability of the existing quality assurance mechanisms in promoting universities’ compliance in Tanzania. The documentary reviews, interviews, and focus group discussions were used to collect data from the 4 universities and 46 students, academics, and quality assurance directors and officers as a sample size selected purposively. The data were analysed through content analysis. The findings revealed that the existing quality assurance mechanisms are generally practicable; however, there are quality assurance requirements with practicability challenges due to contextual factors. Such requirements include senior academics in administrative duties, academics’ promotion, academics’ recruitment, inclusive and participatory teaching approaches, requirements with extra financial costs, examination scripts’ marking, and invigilation restrictions. This study concludes that the practicability challenges of some quality assurance mechanisms are one reason for non-compliance cases at some Tanzanian universities. It recommends that key stakeholders be involved in establishing mechanisms, and all contextual factors must be addressed to enhance practicability.

Faculty members’ beliefs in their ability to conduct research and publish research outputs are expected to impact research productivity directly. Thus, the study described the research self-efficacy and productivity among faculty members, their research self-efficacy influence on productivity, and their challenges in research writing and publication. The study utilized a mixed-method sequential explanatory research design, with 36 and nine faculty member-participants for the quantitative and qualitative study. For the quantitative study, the faculty members’ research self-efficacy was ascertained using a validated questionnaire, and their research productivity was determined through a researcher-made survey instrument. Meanwhile, the qualitative study focused on the faculty members’ research writing and publication challenges, which were gathered through focus group discussions. Results showed average research self-efficacy and low research productivity among faculty members. Research self-efficacy significantly predicted research productivity regarding refereed and indexed publications, paper presentations, and bibliometrics. Further, themed findings showed that the faculty members encountered challenges such as a lack of research exposure, time constraints, lack of institutional support, and publication pressure. The study may serve as an inference for higher education institutions in designing faculty development plans and in-service training programs to capacitate its members.

This research investigated the validity of measurement and causal model of online scam protection behavior (OSPB) among at risk Thai students. The sample comprised 286 high school students from three demonstration schools under the University. Data were analyzed using descriptive statistics, confirmatory factor analysis (CFA), and structural equation modeling (SEM). The factor loadings for all items satisfied the standard criteria with scores ranging from .40 to .80, item-total correlations ranging from .405 to .718, and Cronbach’s alpha coefficients ranging from .773 to .928. The modified model demonstrated a better fit with the empirical data (χ² = 47.62, df = 37, p = .113,  χ²/df = 1.287, RMSEA = .032, SRMR = .028, GFI = .97, CFI = 1.00, NFI = .99). All factors: a) awareness of online risks, b) inhibitory control, c) game-based learning, d) social support, and e) motivation to prevent online scams can predict 81% of OSPB. The motivation to prevent online scams strongly influenced OSPB, with an effect size of .60. Additionally, all factors can predict 88% of the motivation for online scam prevention, suggesting that Protection Motivation Theory (PMT) is a suitable framework for understanding and evaluating Thai students' preventive behaviors in online deception scenarios. This newly developed instrument is highly reliable and can be effectively used by researchers and educators to assess the risk of online fraud victimization among high school 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.