Environmental damage must be taken seriously. Strengthening human attitudes to preserve the environment is the keyword, and strengthening the aspects of knowledge about the environment must be pursued. However, a scientific basis is needed that shows that it is true that strengthening the aspects of knowledge about the environment can improve a person’s attitude toward preserving the environment. The purpose of this research is to find the relationship between a person’s knowledge and their behavior in preserving the environment. By defining the general picture of the relationship between knowledge and attitudes, future accurate educational policies can be taken in the context of environmental protection. This research is a meta-analysis of correlation types. The inclusion criteria for selecting the data are as follows: studies published from 1999 to 2022 in English, analyzed by correlation analysis, have descriptions of many samples and correlation indices, and published in Google Scholar-indexed journals. Based on this inclusion criteria, 23 studies were selected containing 36 relevant sets of research data. The results showed that there was a correlation between knowledge and a person’s attitude toward the environment (.37). Assuming a 95% confidence level, the real score ranges from 0.26 to 0.48. The publication bias test using the trim and fill method showed that none of the data contained biased publications, so the meta-analysis results could be declared valid. Now, there is an urgency to expand environmental education to encourage the development of good attitudes by the community toward the environment.

Teacher well-being has gained significant prominence in academic publications indexed by Scopus in recent years. This study employs rigorous bibliometric analysis to trace the evolution of teacher well-being literature, examining 326 relevant publications from 1995 to 2022. Our findings reveal two crucial inflexion points in 2013, driven by the global economic downturn, and 2020, propelled by the widespread repercussions of the COVID-19 pandemic, including teacher unemployment. These inflexion points underscore the real-world events' profound impact on academic discourse in teacher well-being. Traditionally, authors from the United States, Australia, and the United Kingdom have shaped this discourse. Dutch scholars have also gained recognition, accumulating substantial citations. This paradigm shift is paramount as emerging nations like Iran, Ireland, China, and Austria increasingly contribute, challenging the dominance of Western authors. This shift underscores the evolving dynamics of scholarly contributions in teacher well-being research, emphasizing the need for a more diverse and inclusive academic dialogue. This study provides a panoramic view of the trajectory of teacher well-being research, shedding light on the interplay between global events and scholarly responses. It highlights nations' evolving roles in shaping this discourse, acknowledging established influences while recognizing the contributions emerging from voices in the field. These findings enrich the global dialogue surrounding teacher well-being and offer insights into the dynamic forces shaping this vital field of study, compelling the academic community to adapt, diversify, and foster a more inclusive conversation on teacher well-being.

The importance of research competence in pre-service teacher education has been highlighted in many studies, but concerns over the lack and inconsistency of definition, measurement, and development of research competence still exist. This poses a challenge for pre-service education programmes to provide quality education to pre-service teachers in this area. Through a systematic literature review it was found that there is a gap in the existing literature regarding the definition of research competence in pre-service teacher education, as there seems to be no consensus on the definition. There is, however, an agreement that the development of research competence is an important part of study programmes, as it contributes to higher quality education of pre-service teachers. Addressing this, the review proposes a concise definition of research competence as a multifaceted construct that includes critical thinking, self-directed learning, and organizational skills essential for effective research. The review also highlighted a lack of consensus on the most appropriate frameworks and tools to use in measuring research competence in pre-service teachers, with studies using various frameworks and tools that differ in terms of research methods, instruments and sample characteristics. The results suggest that there is a need for greater attention to be paid to the definition and measurement of research competence, as well as its development within pre-service teacher education programmes.

This research aimed to explore the influence of a robotic program using the robot kit "RoboBuilder RQ+110" on students' attitudes toward effective communication. The study used a quantitative research design and involved 475 grade 4 (10 years old) students from Malaysia's Selangor and Malacca states. A quasi-experimental research (pre-test & post-test) approach with control and experimental groups was adopted, and the data were analyzed with inferential statistical test and repeated measures analysis of variance (ANOVA) using SPSS 25 software at 0.05 significance level. Questionnaires were administered to collect data from the experimental and control groups. The results showed statistically significant changes (α ≤ .05) in attitudes toward effective communication for the experimental group that received a robotics program compared with the control group. The study results suggest that innovative technological tools or programs such as robotics programs are recommended as innovative science, technology, engineering, and mathematics (STEM) program rooted in constructivism to improve students' attitudes toward effective communication.

This study addresses global concerns surrounding elementary students' science performance following the COVID-19, as a result of international tests such as Trends in International Mathematics and Science Study (TIMSS) highlight the ongoing challenges that urge the exploration of innovative educational approaches to improve science learning. This research employed gamification-assisted instruction and explored its impact on enhancing the understanding of science concepts and attitudes toward science class among fourth graders. The study adopted a quasi-experimental design and included an experimental group (ExG) that was taught using a gamification strategy and a control group (CoG) that was taught using a traditional method with a sample of 38 female elementary students from a public school in Jordan. Data were gathered using valid and reliable tools: the developed scientific concepts test and the Attitude Towards Science class measures. The ANCOVA analysis revealed that gamification significantly improves the acquisition of scientific concepts (η2=.208) and boosts a positive attitude toward science classes among elementary students (η2=.626). These findings encourage decision-makers to incorporate gamification into science teaching practices and methods.

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.

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.