Energy literacy is a minimum required capacity for developing a sustainable society that participates in and discusses on energy and environmental (EE) issues. Understanding the energy literacy structure is of significant importance for providing effective energy education to promote people’s awareness of EE issues. In this article, an energy literacy structural model integrated with the Theory of Planned Behavior and Value-Belief-Norm Theory was investigated for 1070 lower secondary students (ages 13-15) in Japan. Structural equation modeling uncovered that the awareness of consequences is the most powerful predictor for the causality between basic energy knowledge and energy-saving behavior through the attitude toward the energy-saving behavior. A conditional process analysis elucidated that (1) the conditional effect of basic energy knowledge on the awareness of consequences depends on scientific literacy, critical thinking ability, and environmental worldview, and (2) the conditional direct and indirect effects in the mediation model of awareness of consequences on the attitude toward energy-saving behavior through the ascription of responsibility depend on environmental worldview or values and family discussion of energy-related issues. The energy literacy model proposed provides a theoretical contribution to the development of an effective energy education program.

This research aims to combine the results of the studies conducted  in educational organizations between the years 2008-2018 that investigated correlation between organizational trust, and organizational support, organizational citizenship, organizational justice, organizational commitment, mobbing, organizational silence, job satisfaction, organizational cynicism and ethical leadership and obtain an overall result. Within this scope, meta-analytic method was used in the study. A literature review was performed by using the concepts "trust" and "organizational trust".  A total of 43 independent studies were incorporated into the research by considering the selection criteria determined by the researcher. The total sample size (teacher, academician and school administrator) is 22859. The studies included in the research were analyzed according to random effects model (REM). According to the results of the analysis, there is a high positive correlation between organizational trust, organizational justice [r = .70] and ethical leadership [r = .82]; a moderate positive correlation between organizational trust and organizational commitment [r = .51], organizational support [r = .57], organizational citizenship [r = .43] and job satisfaction [r = .61]. In addition, there was a moderate negative correlation between organizational trust, organizational cynicism [r = -.62] and organizational silence [r = -.30]; and also a low negative correlation between organizational trust and mobbing [r = -.24]. Based on these findings, the high level of organizational justice, organizational support and ethical leadership perceptions of the education stakeholders increase level of organizational trust; whereas the high level of organizational trust increases their job satisfaction, organizational citizenship behaviors and organizational commitment, and reduces organizational cynicism and organizational silence perceptions. In addition, employees' exposure to mobbing causes a decrease in organizational trust levels.

Understanding the structure of energy literacy is of importance to provide an effective energy education. This article reports the difference in attributes of energy literacy by applying the energy literacy structural model proposed in our previous study through lower secondary school students in Thailand (N = 635) and Japan (N = 1070). Results indicated that Thai students scored higher than those of Japan except the basic energy knowledge and awareness of consequences. On the other hand, the amount of basic energy knowledge did not affect to increase the entire energy literacy of Japanese students. Moreover, mean values of Japan tended to decrease with the school year progression. The energy literacy model was able to support our previous outcome that the awareness of consequences plays a critical role to link between basic energy knowledge and energy-saving behavior. The social expectations or pressures may affect the structure of energy literacy of Thai students. This study suggested that the energy education required in Thailand is to enable students to derive solutions by their own critical thinking based on knowledge relevant to the energy and environmental issues. While, for Japan, it may be necessary to implement energy education as early as possible to enhance students’ awareness of consequences in an appropriate manner incorporating with family participation and visiting energy-related facility. These findings contribute the development of energy education for improving energy literacy in an effective manner.  

This study aims to find out the attitude levels of the fourth grade primary school students towards science and to examine these attitudes according to some variables. The study is designed in descriptive survey model to reveal the present situation.  The data were collected through Attitude towards Science Scale, a three-point Likert scale developed by the researchers. A total of 562 students participated in the study. The findings of the study demonstrate that the students' attitudes towards science, which are based on two dimensions including scientific discovery and scientific curiosity, are positive. The students' attitudes towards science do not differ statistically according to their gender. However, their attitudes towards science show statistically significant differences according to whether the students follow a scientific magazine or not, whether they study at a public or private school, whether their mothers are a teacher or not and the educational level of their parents. It is believed that the results will contribute to raising generations with positive attitudes towards science.

This study investigated the link between future L2 selves and Willingness to Communicate (WTC) in the classroom in the UK university context. We applied a mixed methods approach to collect data from 121 Chinese overseas students where a questionnaire was used before semi-structured interviews were conducted with six participants. Two key quantitative findings were: 1) There is a strong positive correlation between ideal L2 self and classroom WTC; 2) A student’s major moderates the relationship between the ought-to L2 self and classroom WTC. Students from non-English-related majors had a greater influence of ought-to L2 self on their WTC in the classroom, while ought-to L2 self does not seem to affect the WTC of English-related majors in the classroom. Follow-up interviews triangulated the quantitative findings with further illustrations in terms of the role of future L2 selves in stimulating WTC in the classroom and the potential differences between students with different academic backgrounds.

This quantitative study aims to examine the relationships between enabling school structure, academic optimism and altruistic behaviours as well as to find out whether altruistic behaviours serve as a mediator between enabling school structure and academic optimism. A scale was applied to teachers from primary- schools in Turkey via random sampling. There were 707 teachers participating in this study. Three existing scales, which are enabling school structure, academic optimism, and teachers’ altruistic behaviours scales, were used to collect data from teachers. Descriptive statistics and bivariate correlations were calculated in the study to investigate correlations among all the variables and reliabilities of the measures. Structural Equation Modelling investigated the effects of Enabling School Structure on School Academic Optimism through Teachers’ Altruistic Behaviours. The results confirmed a positive relationship between all variables of the study. The findings also revealed the mediator effect of TAB on the relationship between ESS and SAO. Finally, some recommendations were given based on results.

This study aimed to investigate the influence of innovation leadership on teacher commitment through organizational culture as a mediating variable. A quantitative approach using the survey method was used, and the sample was selected using proportional random sampling. The respondent consisted of 180 teachers from public vocational schools in Magelang. In addition, data were collected by questionnaire and analyzed by a structural equation model (SEM). The result showed that innovation leadership influenced organizational culture with a t-value of 2.95 > ttable (1.98) at .26. In contrast, organizational culture influenced teacher engagement with .27 and a t-value of 3.10 > ttable (1.98). Innovative leadership directly affected teacher commitment at .31 with a t-value of 3.41 > ttable (1.98) due to organizational culture being a mediating variable at .07. The overall influence on teachers' commitment through the organizational culture is .38. The analysis results explain that organizational culture can successfully mediate the relationship between innovation leadership to teachers' commitment. Therefore, these variables can be developed and implemented in schools to increase student achievement quality.

Researchers have recognized the need for updates of test anxiety scales for more measurement accuracy. However, studies that investigated the measurement invariance of the Test Anxiety Inventory (TAI), and identified the latent profiles remain scare not withstanding its wide usage in Nigeria. This might have an impact on how generalizability and reliance on outcomes from such an instrument are handled. We investigated the measurement invariance of TAI and the latent profiles among Nigerian adolescents. Gender constituted our focus in the measurement invariance given its significance in test anxiety research. Adolescent students (n=539) formed the sample of our study. We employed the confirmatory factor analysis (CFA) and the latent profile analysis (LPA) to measure the invariance and identify the class profiles. We found evidence of a measurement invariance across gender in both competing models given that we obtained strict measurement invariance. We also identified a four-class profile model for both male and female students: low (17.50%; 19.00%), moderate (17.50%; 34.40%), high (36.80 %; 32.80%), and very high (12.60%; 13.80%) test anxiety profiles respectively. We concluded that while the composed factors are equivalently scaled across gender that test anxious students were not monolithic given the identified profiles.

Teacher well-being is a stimulating topic frequently appearing in studies over long periods. Teachers are typically exposed to stress that, when addressed, can lead to low morale and positively impact their work. This study examined the relationship between job satisfaction and well-being among preschool teachers in Selangor. We used a quantitative research method and correlational research design to test the hypotheses and answer the research questions. The current study involved 977 government preschool teachers selected using a cluster random sampling method. After data cleaning, a data set of 610 respondents was used for this study. This study used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using AMOS for data analysis. SEM Analysis showed that job satisfaction positively influences teachers' well-being. However, our results also showed that the subconstruct of job satisfaction with students did not significantly influence preschool teachers' well-being.

Mathematical modeling offers a promising approach to improving mathematics education. This study aims to determine if the concept of metacognitive awareness in the learning process is associated with mathematical modeling. This study also considers the interaction effect of sex and academic year level on both variables. Focusing the study on preservice elementary teachers might address potential issues and targeted intervention in their preparation program concerning their ability to teach and guide young learners in modeling activities. The research sample includes 140 preservice elementary teachers at Central Luzon State University, Philippines. Data collection used an adapted metacognitive awareness inventory and a validated researcher-made mathematical modeling competency test aligned with the K-12 mathematics curriculum in the Philippines. Results revealed that the preservice elementary teachers had a high metacognitive awareness and mathematical modeling competency, ranging from 22 to 31 out of 36 points. Besides, Factorial ANOVA indicates that academic year level positively affects both variables regardless of sex, and stepwise regression analysis unveiled that information management, declarative knowledge, and planning significantly predict 41.4% of the mathematical modeling competency variance. This suggests that developing metacognitive awareness supports preservice elementary teachers in performing modeling tasks that improve their competency level in mathematics.

This study explores the relationship between language competence and intercultural communicative competence (ICC) among English as a Foreign Language (EFL) learners through a mixed-methods approach. A sample of 196 Chinese EFL learners was divided into three proficiency groups (low, intermediate, and high), with data collected through Likert-scale questionnaires and semi-structured interviews involving 16 participants. Quantitative analysis revealed that higher language proficiency is linked to improved overall ICC scores and its specific dimensions. The Kruskal-Wallis H test confirmed significant differences in overall ICC, attitude, and skill across proficiency levels, with attitude showing the strongest effect. Spearman's correlation analysis demonstrated small but significant positive correlations between English proficiency and overall ICC, attitude, and skill. Qualitative findings further enriched the quantitative results, emphasizing the foundational and catalytic role of language competence in enhancing ICC and its dimensions. However, participants acknowledged that language competence alone is insufficient for fully successful intercultural interactions. This study expands Byram’s model by offering detailed insights into the intricate relationship between language competence and various ICC dimensions. The study recommends that to fully cultivate ICC, it is essential to integrate the development of language competence into instructional practices.

In primary and middle schools in China, banzhuren is the teacher responsible for managing and overseeing a specific class of students. The lower job satisfaction of banzhurens has been a longstanding issue. This study employs a quantitative method to investigate the impact of banzhurens' self-efficacy and burnout on their job satisfaction. A total of 624 primary school banzhurens from G City (in Henan province, China) participated in an online survey assessing their perceived job satisfaction, self-efficacy, and burnout. The data were analysed using structural equation modelling analysis. The results revealed that (a) banzhurens' burnout negatively influenced their self-efficacy and job satisfaction; (b) banzhurens' job satisfaction was positively influenced by self-efficacy; (c) banzhurens' self-efficacy could mediate the adverse effects of burnout on job satisfaction. Therefore, we suggest that banzhurens' job satisfaction can be enhanced by increasing their self-efficacy, particularly in terms of communication with leaders, and by reducing their burnout.

This PRISMA-based systematic review analyzes how artificial intelligence (AI) and Machine Learning (ML) are integrated into educational institutions, examining the challenges and opportunities associated with their adoption. Through a structured selection process, 27 relevant studies published between 2019 and 2023 were analyzed. The results indicate that AI adoption in education remains uneven, with significant barriers such as limited teacher training, technological accessibility gaps, and ethical concerns. However, findings also highlight promising applications, including AI-driven adaptive learning systems, intelligent tutoring, and automated assessment tools that enhance personalized education. The geographical analysis reveals that most research on AI in education originates from North America, Europe, and East Asia, while developing regions remain underrepresented. Without strategic integration, the uneven implementation of AI in education may widen social inequalities, limiting access to innovative learning opportunities for disadvantaged populations. Consequently, this study underscores the urgent need for policies and teacher training programs to ensure equitable AI adoption in education, fostering an inclusive and technologically prepared learning environment.

Artificial Intelligence (AI) is reshaping education across the Asia-Pacific, yet its integration depends on teachers’ readiness and perspectives. This study explores AI adoption among Vietnamese teachers, a critical lens for the region’s digital education reforms, using the Unified Theory of Acceptance and Use of Technology (UTAUT). Through Structural Equation Modeling (SEM) and Latent Dirichlet Allocation (LDA), we analyzed responses from 246 teachers nationwide. Results show attitude strongly predicts adoption intention, with privacy and ethical concerns shaping acceptance, though fears of AI dependence hinder uptake. Uniform challenges across urban-rural and STEM-non-STEM contexts suggest systemic barriers in Vietnam’s education system. Teachers foresee AI as a pedagogical assistant but highlight insufficient training and privacy risks as key obstacles. These findings underscore the need for Asia-Pacific-relevant policies—AI literacy programs, ethical governance, and equitable access—to foster sustainable integration. This research informs regional educational policy by offering a Vietnam-centric model for balancing technological innovation with pedagogical integrity, addressing shared challenges in the Asia-Pacific’s digital transformation.

Educational researchers, as well as researchers in other disciplines, often work with ordinal data, such as Likert item responses and test item scores. Critical questions arise when researchers attempt to implement statistical models to analyse ordinal data, given that many statistical techniques assume the data analysed to be continuous. Could ordinal data be treated as continuous data, that is, assuming the ordinal data to be continuous and then applying statistical techniques as if analysing continuous data? Why and why not? Focusing on structural equation models (SEMs), particularly confirmatory factor analysis (CFA), this article discusses an ongoing debate on the treatment of ordinal data and reports a short review on the practices of conducting and reporting SEMs, in the context of mathematics education research. The author reviewed 70 publications in mathematics education research that reported a study involving SEMs to analyse ordinal data, but less than half discussed how data were treated or guided readers through the analysis; it is therefore harder to repeat such an analysis and evaluate the results. This article invites methodological discussions on SEMs with ordinal variables in the practices of educational research. Subsequently, a standard for reporting SEMs with ordinal data is proposed, followed by an example. This standard contributes to educational research by enabling researchers (self and others) to evaluate SEMs reported. The example demonstrates, using real-life research data, how two different approaches for analysing ordinal data (as continuous or as a product of discretisation from some continuous distributions) can lead to results that disagree.