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Research and publications on differentiation instruction in various subjects have developed rapidly in the world. Unfortunately, this trend is not directly proportional to the subject of physical education, even though differentiation instruction is the latest learning trend that is based on student learning needs. This research aims to analyze the metrics and visualization of differentiation instruction publications over the last ten years (2013-2023) using the literature review method. Google Scholar inspection using the Publish or Perish application only found nine articles (out of 16 articles) that met the VOSviewer visualization analysis criteria. As a result, the highest publication metrics were only three articles in 2014 and 53 citations as the highest top citations in 2019 for two articles. Network term differentiation is limited to three terms: analysis, lesson, and education. The VOSviewer visualization confirms that differentiation instruction has great potential to be developed in physical education to contribute to fulfilling students' learning experiences by their learning potential preferences. Future research can consider aspects of differentiation instruction that are not limited to teachers evaluating student learning outcomes based on differentiation instruction, and using differentiation instruction to improve various skills that help students survive in real life.

Purpose: This study aims to conduct a thorough examination and bibliometric analysis of the scholarly articles on PjBL (Project-Based Learning) and 21st-century skills published from 2020 to 2023. The analysis will specifically concentrate on the global distribution of these articles and identifying any prevailing research patterns or trends. Methodology: Utilizing "PjBL" and "21st-century skills" as search terms, the Scopus database was employed for the analysis encompassing annual publications, nations, institutions, authors, journals, references, and keywords in the field. This analysis was facilitated by VOSviewer and Microsoft Excel 2019 software. Findings: There has been a significant increase in publication volume between 2020 and 2023. Among the 2,472 articles within the Scopus database by the end of October 2023, Indonesia emerged as the primary contributor of publications among all nations. The VOSviewer indicates that the key issues revolve around, project-based learning (PjBL), pedagogy, critical thinking, education, sustainability, higher education, and 21st-century skills. Significance: A comprehensive analysis of the global landscape concerning project-based learning (PjBL) and, between 2020 and 2023, aims to uncover pivotal trends, emerging issues, influential authors, and seminal works in educational research. The anticipated outcomes hold the potential to offer multifaceted insights into PjBL and 21st-century skills, contributing to the exploration of innovative educational methodologies. Additionally, this study's investigation of specific research inquiries aims to provide a holistic overview, further enriching the understanding of these crucial educational paradigms.

The e-learning domain has witnessed a shift from the traditional behavioral approach to an individual centered learning approach based on learning analytics, with the aim of creating personalized and learner sensitive designs. A systematic literature review of 284 articles published between 2011 and 2022 in 133 different journals was conducted to investigate this trend. Bibliometric analyses were performed. The results of the analysis show that there is an increasing trend towards the implementation of learning analytics and the use of these analytics for personalized learning environments. The results also show that the output levels of learning analytics have progressed from description and diagnosis to prediction and perspective building. This has the potential to improve the fields of learning analytics and personal learning environments.

As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive bibliometric analysis of ASL. Contrary to conventional teaching methods, ALS alters dramatically the way students think and interact with their environment. This research has utilized an all-inclusive bibliometric analysis to analyze the evolution, trends, and themes in ALS by using an extensive set of data from the Web of Science (WoS) and Scopus. The primary objective of Bibliometric analysis is to map the development of ALS in teaching and learning while marking the important trends, models, and thematic priorities. The relevance of this research lies in its comprehensive analysis of the Adaptive Learning Systems (ALS) field through bibliometric methods, offering critical insights into the trends, key contributors, and thematic developments over time. The systematic evaluation enables the appraisal of the impact created by major contributors like authors, organizations, journals, etc. The study also examines, using the advanced data collection technique, influential articles, and publications that enormously contributed to shaping ALS. Similarly, it does the rating effectively upon evaluating the mutual relationships among important terms, concepts, and factors through co-references and co-occurrences. It highlights the increasing scholarly output and identifies key contributors and influential works, underscoring the growing recognition of ALS's importance due to technological advancements. The study's findings on global research contributions, thematic analyses, and collaboration networks offer new insights into the field's dynamics, setting a foundation for future research directions. To visually represent bibliometric data, web analytic tools are used, explaining intricate relationships and thematic clusters. Identifying the unexplored areas and discussing the practical implications of ASL development, research, and analysis of combined data taken from WoS and Scopus provides a unique perspective. Consequently, researchers, educators, policymakers, etc., get valuable insights that enable advancing and understanding the area. This bibliometric analysis will undoubtedly guide future research in the area of transformative pedagogy as it is the most sought-after method in understanding the scholarly landscape of ALS.

This study aims to conduct a bibliometric analysis of the use of virtual reality in science education over three decades (1993-2023). The method involved data from Google Scholar-indexed publications using Publish or Perish with keywords related to "virtual reality" and" education" over the past 3 decades. Nine hundred and eighty-six publications were obtained with a total of 131,130 citations with an average of 133 citations/paper and 4371 citations/year. The collected data were then screened to ensure its quality. Next, VOSviewer software was conducted to perform co-authorship and co-occurrence analysis. The results of the co-authorship analysis showed that there were 164 authors eligible to be visualized and divided into 88 clusters, indicating a high level of collaboration among authors in this field. Co-occurrence analysis shows that "virtual reality" has an occurrence of 696 in cluster 5 and "science education" is only16 in cluster 2 with word networks formed only on the words "virtual reality," "education," and "field." This study emphasizes the need for better VR in science education and more research on its impact on students' science literacy. It outlines VR usage trends in science education, informing future studies. The findings particularly highlight the importance of investigating VR's effectiveness in formal educational settings.

The purpose of this study is to examine research on school dropout in open and distance education in the Web of Science (WoS) database using bibliometric analysis and to reveal trends in this area. In line with this goal, a total of 1,615 studies published between 1980 and 2022 were identified in the Web of Science (WoS) indexes. Descriptive and evaluative bibliometric methods were employed in the analysis of these publications, and the results were visualized using VOSviewer software. According to the research findings, studies on school dropout in open and distance education intensified in 2019. The analysis revealed that E.T. Pascarella is the most cited author, and F.D. Pereira has the highest co-authorship network. An examination based on institutions showed that the Universitat Autònoma de Barcelona has the highest number of publications, while the University of Michigan ranks first in terms of citation numbers. Furthermore, in terms of publication productivity and citation numbers, the United States is ranked first, followed by Spain. Looking at the keywords used in articles on the topic, early studies emphasized concepts such as "distance education", "student retention", "attrition", "student success", "social integration", "academic integration", "survival analysis", "education policy", "graduation", and "financial aids". In subsequent years, these were replaced by terms such as "learning analytics", "educational data mining", "systematic review", "engagement", "drop prediction", "decision tree", "student performance", "gamification", "massive open online course-MOOC", and "artificial intelligence". In this context, discussions were conducted within the framework of the literature, and various recommendations were provided based on the obtained findings.

Continuing education (CE) plays a crucial role in workforce development and economic growth across Asia, yet the landscape of CE research in the region has not been comprehensively mapped. A comprehensive bibliometric analysis of continuing education (CE) research in Asia from 1972 to 2023 was carried out, utilizing data from the Scopus database to map the evolving landscape of CE research in the region. Findings revealed a significant surge in research output since the late 1990s, with East Asian countries, particularly China, Hong Kong (China), and Taiwan (ROC), emerging as leaders in the field. The analysis uncovers several key patterns: institutional collaborations tend to cluster regionally, there's a noticeable generational gap in researcher's networks, and the healthcare sector dominates CE research topics. Recent trends indicate a shift towards digital learning approaches and learner-centered methodologies. The study also highlights the need for increased cross-border collaborations and expansion of CE research beyond the healthcare sector. This research contributes to a deeper understanding of CE research trends in Asia and provides insights for future directions in the field.

Considering SRL is one of the key aspects that determines an individual's success in STEM learning, knowing the development of research related to this topic is crucial. This research aims to conduct a bibliometric mapping analysis of research published in Scopus-indexed journals from 2013 to 2023. The search yielded 1683 publications, which generally showed an increasing trend. The analysis results showed the distribution of publications based on document type, year of publication, and geographical area. Then, the co-authorship analysis results showed publication collaboration among countries and among authors. In addition, the citation analysis results provided information on the most influential authors, journals, and publications. In relation to the co-occurrence analysis results, the most popular research focuses were the relationship between SRL and "e-learning" and "engineering education". The topics that are quite popular are related to "mathematics", and those that are less popular are related to the terms "stem (science, technology, engineering and mathematics)" or "stem" and "science" or "science education". Regarding trending topics, several keywords that have been popular recently are "covid-19", "online learning", "major clinical study", "technology", "human experiment", "student learning", and "academic achievement". Several recommendations are also provided based on the findings and limitations of this research.

Technical and vocational education training (TVET) is an education and training process with a strong emphasis on industry practices that aims to generate competent workers in particular fields. Collaboration with industry in TVET has the potential to improve the quality and relevance of TVET programmes and equip students with the practical skills and knowledge demanded by employers. Thus, there is a need for a complete bibliometric study of research linked to collaboration between TVET and industry, despite the fact that the number of studies in this field continues to increase. The bibliometric analysis in this research which was extracted from Web of Science database is analyze using VOSviewer. The research conducted a descriptive analysis of the publication number trends, the top authors and leading journals in this field. Next, the researcher also analyzed the co authorship based on authors and countries, research trends, citation and keywords analysis as well as co citation analysis. The article found that most of the articles in this field are published by authors from developed countries where the majority is from the United States. Other than that, the recent research hotspot were also identified indicating the future direction of the research in this field.

Reports on the evaluation of the most relevant themes on career adaptability through bibliometric analysis using the keyword "career adaptability" as its input aims to get a comprehensive view of current issues and trends in career adaptability research. The VOSviewer software in collaboration with Microsoft Excel and Open Refine was adopted as tool to visualize the network of authors, countries of origins and keywords in publication data mined on June 19 2022. The analysis found a total of 728 scientific publication from 1981 to 2022. The results show that in the last 15 years the number of career adaptability publications has grown very significantly. The United States is a major country contributing of publications. Author analysis presents Nota L as the most prolific author, while Savickas L is a prominent author while Guan Y is the writer with the best writing network with 8 other writers on career adaptability. Academic Press Inc. dominates the publication with 22.94% of it is production. Keyword analysis shows that career adaptability studies in the last two decades have focused on the theme of career planning through the establishment of a career guidance framework that aims to create prosperity.

This study aimed to present a comprehensive bibliometric analysis of 1,726 academic studies from among those indexed by the Web of Science database platform between 2013 and 2023, to provide a general framework for the concept of artificial intelligence in education (AIEd). Trends in publications and citations across countries, institutions, academic journals, and authors were identified, as well as collaborations among these elements. Several bibliometric analysis techniques were applied, and for each analysis, the motivations behind the execution and method of producing findings were documented. Our findings showed that the number of studies on the concept of AIEd has increased significantly over time, with the U.S. and China being the most common countries of origin. Institutions in the U.S. stand out from those around the world. Pioneering journals in education have also emerged as prominent in the field of AIEd. On the other hand, collaboration between authors has been limited. The study was supplemented with keyword analysis to reveal thematic AIEd concepts and to reflect changing trends. For those exploring artificial intelligence in education, our insights on popular topics offer valuable guidance toward greater understanding of the latest advancements and key research areas.

The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986-2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," "assessment," and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.

Generative Artificial Intelligence (AI-Gen) in education is a challenge for educational administrations due to the benefits and risks of its use. This research seeks to analyse the scientific production of AI-Gen in the educational field. The method used was a bibliometric analysis of descriptive and quantitative documents from the Web of Science database. The VOSviewer statistical programme was used to identify the keyword clusters and to create the network map. The results of this study ascertain that 2023 is the birth of AI-Gen research in education and has since produced a total of 178 papers, where Australia heads the ranking of countries with studies on this subject matter. The ChatGPT phenomenon materialises as a focus of study in the majority of cited research. The study includes seven keyword clusters, where the IA-Gen cluster which is related to terms such as challenges, risks and opportunities are highlighted. Following the discussion, the main conclusion of the study denotes that further research is required on the use of AI-Gen during the teaching-learning process in several educational stages to prevent plagiarism and to obtain a comprehensive understanding of this technology as an educational resource.

Listening, speaking, reading, and writing are important skills in English language learning. However, some students are not successful in learning English due to several factors. The model for improving the English learning skills of students is essential. However, except for the HyFlex learning model, no suitable model for learners has been found following the new normal. This research, therefore, identify the bibliographic keywords of HyFlex learning for the English learning skills of teacher students. According to a total of 465 documents published in the Scopus database, 40 articles met the research inclusion criteria and keywords related to HyFlex learning could be used to guide the development of the model of English language learning skills of students. Findings, the keywords of HyFlex learning for the English learning skills of teacher students 42 keywords related to Hyflex learning that clustered into seven categories: Higher education, Learning environment, Teaching and learning model, Digital technology for learning, Teacher, Student, and English language.

The emergence of innovative artificial intelligence (AI) technologies, such as ChatGPT, which was just released in November 2022, has the potential to significantly transform the current state of education. Put another way, learning is changing as a result of chatbots' personalized assistance, group discussions and collaborations, evaluations of students' work, encouragement of self-directed learning, and raised student enthusiasm and engagement. A significant number of scholarly works has been done to examine the use of ChatGPT in education. This study aims to make a valuable contribution by conducting a bibliometric analysis of previous research, namely studies conducted throughout the study period, which mostly examined the implementation of ChatGPT in educational settings. The crucial data gathered from this analysis will help to identify the linkage and themes within the published literature. Lastly, this study will attempt to highlight the literature gap which future studies can be conducted in this very area of interest.

COVID-19 significantly contributed to increasing use of online assessment in education, including physical education. Teachers still need online assessments in face-to-face learning because they help them improve a practical, objective, and credible assessment process for students' learning performance. This research aimed at tracking the publication trends of OA in PE in four years, 2019-2023, from the Scopus database. The investigation began on October 11, 2023, using the title, abstract, and keywords of "online AND assessment AND in AND physical AND education," and the researchers succeeded in collecting 985 documents (articles = 82.74%, conference papers = 8.83%, reviews = 6.19%, book chapters = 1.32%, and conference reviews = 0.91%). The publication trend metrics were highest in 2021 with 277 articles (28.12%) and began to decline by 0.10% in 2022 (to 28.02%) and 9.04% in 2023 (to 18.98). Over the four years 2019-2023, there were 2,698 citations from 277 documents (average citations per document = 9.74). VOSviewer analysis proves that the title words "online assessment" and "physical education" have a small item load, so the visualisation was not visible in the VOS viewer output. Apart from that, the two title words also did not have a connection. This means that this study proved the results of online assessment investigation in physical education still has potential for future research. Future research can explore and project the various needs for developing OA in PE to help teachers organise effective, efficient and credible assessment activities.

The aim of this study is to reveal the bibliometric profile of articles published in the field of science education and technology. In the study, in which descriptive research model was used, bibliometric analysis method was preferred in order to reveal and examine the research trends of scientific publications on science education and technology. In the study, Web of Science Core Collection was preferred as the database and VOSviewer program was preferred as the bibliometric network analysis program. In the Web of Science Core Collection database, 2485 articles were accessed after searching with the keywords "science educat*" and "technology*". As a result of the research, it was determined that the first article in the relevant subject area was published in 1980 and the most articles were published in 2022. The country with the highest number of publications in the related field is the USA. The researcher who published the most in the related field is Franz Xaver Bogner. The most publications were published in the Journal of Science Education. Most frequently used keyword in the related articles is science education. The study is important in terms of revealing the research trend of science education and technology articles.

This study aims to look at research trends on inquiry and socioscientific in the last 2 decades from 2004 to 2023. The PRISMA method is a reference in determining inclusion and exclusion criteria, as many as 449 articles were synthesized using bibliometric analysis. The result synthesis refers to the distribution of articles per year, research themes, affiliations, countries, authors, and productive journals. The inquiry and socioscientific research trends will peak in 2022, affiliated with the University of Wisconsin-Madison and the University of Southampton. Productive country United states and United Kingdom. Best author Laursen S. and Zeidler D.L. Productive journal CBE Life Science Education from United Kingdom and International Journal of Science Education from United States.

The increase in borderless digital-based business competition shows how language education is impacted by neoliberalism in this global era. We explore how linguistic technopreneurship (LT) roles is increasingly constructed as a form of linguistic entrepreneurship to exploit language-related resources to enhance one's socioeconomic value strategically. This research aims to critically examine the influence of LT toward business success digitalization for Small Medium Enterprises in West Java and it's implication for Language Education. The research also focusing on the creation of novelty, namely linguistic technopreneurship (LT), which is a refinement of entrepreneurial linguistics (EL). LT is expected to be able to explain how linguistic entrepreneurship can be indexed from two different aspects, namely how to package language education and digital business success. We then discuss under what conditions the notion of linguistic technopreneurship can be applied to digital platform-based business settings and what kind of contradictions this gives rise to. The method used is quantitative, and it involves carrying out SEM analysis. A non-probability sampling technique was used to obtain a minimum of 250 Micro, Small and Medium Enterprises and Industry owners who run their businesses through digital platforms in West Java province, which is the province with the most significant number of Micro, Small and Medium Enterprises and Industries in Indonesia. The research results show that LT significantly influences the success of business success and impact the language education practice. It can be concluded that language education is an added value for a person and influences socioeconomic success.

In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The main stakeholders in higher education (SoTL, educational authorities, and policymakers) must understand the new trends and the most relevant studies to have action guides that preserve academic integrity standards in deploying AI in the university. This research analyzes scientific articles published in high-impact journals indexed in the Journal Citation Reports (JCR) (n=254) and carries out a bibliometric study using VOSviewer 1.6.18 and WordStat 2023.1. The Normalized Impact per Document (NID) and per Year (NIY) are studied, and four thematic groups and twelve main themes are identified and discussed, allowing the internal research structure of this field of study to be determined. Based on the findings, a roadmap for implementing AI in higher education is proposed, preserving ethical standards and based on three levels (Micro, Meso, Macro). This study offers practical implications for SoTL, academic authorities, and policymakers. Furthermore, the evidence found allows editors of high-impact journals to advise on unclosed gaps and new research trends and new research trends in the area.

This study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not all data is related to computer-assisted teaching in science education, the Scopus Social Science section was selected and filtered, and 454 publications were subjected to bibliometric analysis. VOSviewer program was used for bibliometric analysis. As a result of the research, most studies on computer-assisted teaching in science education were done in 2010, most articles were preferred as document type, the most frequently used keyword was computer-assisted instruction, the country with the most publications was the United States, and the most cited publication was Leidner and Jarvenpaa (1993) and the most frequently used term is student.

This paper reports the findings of a bibliometric analysis using VOSviewer on 392 Scopus database documents published from 2003 to 2022, aiming to understand the global landscape of the e-learning field and to identify the most prominent authors, institutions, countries and reference publications, as well as the research topics that have recently received the most attention in students' readiness for e-learning in Higher Education Institutions (HEIs). The findings indicate that there has been an upward trend in e-learning readiness among students in HEIs over time. Among the countries studied, the United States, Taiwan, Australia, and Malaysia were found to have the most effective approaches to addressing students' readiness for e-learning. The most highly cited author in this field is M-L. Hung. Based on the citations, the most recognised journal in this field was "Computers and Education" and the universities that were most persuasive were two Taiwan universities in the first position. The data also revealed relatively low levels of collaboration among authors, institutions and nations regarding students' readiness for e-learning.

This study conducts a bibliometric analysis to map the research trends and intellectual landscape surrounding the development of scientific literacy assessments in educational contexts from 2019 to 2023. Scientific literacy, which encompasses the ability to comprehend, evaluate, and apply scientific knowledge, has emerged as a crucial competency in science education. However, existing assessment tools often prioritize factual recall over deeper conceptual understanding and critical thinking abilities. To address this gap, there is a need for innovative assessment approaches that holistically evaluate students' scientific literacy across multiple dimensions. Through a systematic analysis of 185 relevant publications from the Scopus database, this study investigates the numerical distribution of literature by year, document type, journal, author, institution, and country. Additionally, it explores the prominent themes, evolving topic trends, and emerging clusters within the scientific literacy assessment research domain. Bibliometric techniques, including citation analysis, coauthorship networks, and keyword co-occurrence mapping, are employed to provide a comprehensive perspective. The findings reveal a steady increase in publications focused on scientific literacy assessments, reflecting the growing recognition of this research area. The analysis identifies highly influential journals, articles, authors, and institutions actively shaping the field. Furthermore, it highlights key research themes, such as secondary education, teacher professional development, and information literacy. However, the integration of scientific literacy assessments with artificial intelligence remains an underexplored area, presenting opportunities for future research.

The pedagogical competency of preschool teachers is critical in shaping the learning path of young learners in today's world. Modern early childhood education, by focusing on the development of crucial skills like teamwork, innovation, and problem-solving, lays the foundation for long-term learning and success. This research delved into the shift in global research outputs over time, spotlighted significant contributors including publications, authors, and countries, and surveyed the prevalent themes discussed. From 1993 to 2023, 1163 out of 2034 papers from the Scopus database were analysed. A quantitative bibliometric approach was utilized, rooted in the 7C-21 framework, using with the PRISMA model to assure a structured and exhaustive review process. The findings indicated a rising emphasis on promoting pedagogical competency in early-grade teaching force, as seen through increased scholarly contributions. Principal contributors, such as journals, authors, and countries, play a pivotal role in encouraging collaboration and the spread of knowledge. The research underscored the necessity for holistic training programs for 21st-century preschool teachers, spotlighting themes like early childhood educator training and the cultivation of pedagogical competence. The study also documented a transition towards practices driven by evidence and cutting-edge methodologies to meet the ever-changing learning requirements of young learners.

Scientific argumentation skills are a key component of science learning practices needed by students in the 21st century. Where the essence of scientific argumentation is to support the argument with evidence and reasoning and then refute the claims and evidence of the opponent's argument. Supporting arguments with evidence and reasoning can be facilitated through inquiry activities. Meanwhile, refuting claims and evidence from opposing arguments can be facilitated through debate activities. Inquiry and debate can be a solution to improving students' scientific argumentation skills. This study aims to prove the truth of this statement through a systematic literature review by applying the PRISMA 2020 criteria which are expanded by bibliometric analysis with the help of the VOSviewer software. The results of the study show that research related to inquiry, debate, and their influence on students' scientific argumentation skills has a pretty good trend. In Indonesia the research climate is still quite good, research topics are still in great demand, and it is very possible to carry out research innovations on related topics. Another finding is that the integration of inquiry and debate in science learning can be a potential strategy to improve students' scientific argumentation skills.

This study aims to map the landscape of the importance of previous research on computational thinking (CT) in mathematics learning over the last decade. This research is a literature review research, there are 113 publications collected from the Scopus database which are then analyzed using the bibliometric analysis method assisted by the Vosviewer application. The data taken from the Scopus database was refined so that it became 113 publications. The results of the study show that publications are spread across various continents, including America, Asia, Africa, and Europe. The United States and the United Kingdom are the most influential countries and have high cooperation with other countries in this field. The main conclusion from this study is that computational thinking has an important role in learning mathematics and STEM. The integration of computational thinking in the mathematics curriculum can improve students' understanding of mathematics and help them face the challenges of the digital age. In addition, the development of effective training methods for mathematics teachers as well as the assessment of good computational thinking learning tools and platforms can help improve the effectiveness of computational thinking teaching in mathematics contexts. These innovations will help better understand how computational thinking can be effectively integrated in mathematics learning and prepare students for a future filled with digital technologies.

Research in self-compassion has rapidly increased. Providing a comprehension of the scientific knowledge landscape will be helpful for researchers to identify the gaps and develop future research ideas in this field without subjectivity. Thus, overarching structures in self-compassion Scopus-indexed research were sought to be analysed here. Bibliometric techniques were used to extract documents indexed in Scopus under the domain of self-compassion (N = 1,764 articles) using bibliophily, a web interface of the Bibliometrix 3.0 and VOSviewer to conduct analysis and visualisation. The number of published articles shows an upward trend; the United States occupies the leading position in publication volumes and citations. Undoubtedly, K. D. Neff and her sustained cited model were reported as a prolific author and influential article in self-compassion literature. The top affiliation was the University of Texas at Austin, which was the leading university in both production and citation. Mindfulness was a key journal that was considered in publication volume and received citations; however, authors tended to publish from diverse selected sources. The top 50 most frequently used terms were related to individual differences and psychological status. Finally, the thematic mapping provided a comprehensive illustration showing significant themes and knowledge gaps in self-compassion research, which categorised individual differences as basic, measurement validation as niche and PTSD as emerging themes. The current findings presented scientific mappings and extensive tables containing information that usefully proposes future directions and the critical broader scope of research in self-compassion.

As humanity reaches the 5.0 industrial revolution, education plays a critical role in boosting the quality of human resources. This paper reports bibliometric research on emerging TiP during 1993-2022 in the educational field to analyse its development on any level of education during the last three decades. This study employed a Scopus database. The findings are that the trend of TiP publication in educational fields has tended to increase every year during the past three decades and conference paper became the most published document type, the USA is the country which produces the most publications; "Students" being the most occurrences keyword and total link strength. The publication of the TiP is ranked to the Quartile 1, which implies that a publication with the cited performance is a publication with credibility because the publisher has a good reputation. Researchers can find the topics most relevant to other metadata sources such as Web of Science, Publish, and Perish.

ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.

Higher education institutions (HEI) are increasingly challenged by plagiarism, which threatens their academic standards and integrity. This is due to the fact that students have access to an overwhelming amount of information online, making it easier for them to copy and paste without giving proper credit or attribution. Additionally, the prevalence of technology has made it easier to copy and paste without detection. The study aimed to analyze the trends in plagiarism in academic writing by using bibliometric analysis, which is a technique that can measure and analyze the use of published documents. This analysis was used to identify any potential changes in the prevalence of plagiarism in academic writing over time and to identify potential factors that could be influencing it. The data is extracted from Scopus database with Boolean and proximity search strategy and found 579 related journal articles. There are tabulations of results ranging from descriptive analysis, citation analysis, co-citation analysis, and co-word analysis. The descriptive findings revealed that 'academic integrity', despite not being included in the search string, was the most commonly occurring word with 284 indicating a significant relationship between plagiarism in academic writing in HEIs. In addition, citation analysis for the top ten documents was presented. The findings of co-citation analysis highlight factors, new trends of academic integrity, and mitigation plans against plagiarism, while co-word analysis are thematically presented in three prominent clusters which is academic misconduct study, ethics and academic integrity. In most prominent articles cited by many authors, contract cheating is the new trend of plagiarism. As a result, it sheds light on the fact that academic integrity issues go beyond a new phenomenon that needs to be taken seriously. This study has both theoretical and practical implications for minimizing future plagiarism risks as well as identifying and recommending potential solutions to the problem.

This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific production, network analysis, trend topics, thematic change, and conceptual structure. Bibliometric analysis was performed in the study. According to findings, the number of published articles differ according to the years, but the number of citations is constantly increasing. Albano, and Dello Iacono are the most prolific authors. The most productive institutions are Salerno and Black Sea Technical Universities. China, USA, and Russia lead the countries of the corresponding authors. According to the network analysis, the journals of Computers & Education and Computers in Human Behavior form strong links. The most used keywords are students, technology, and mathematics. The pandemic, COVID, reality, and process are trend topic titles. It determined that the best size reduction obtained in the conceptual analysis constituted approximately 31% of the total variability. We presented some suggestions based on the findings obtained at the end of the research.

The accelerated adoption of distance learning in post-pandemic times has resulted in increasing research publications and review studies in a short time. This necessitates the exploration of a large corpus of academic publications for effective distance learning and learning strategies. As distance learning stakeholders have assimilated the transactional approach to understanding distance learning, transactional distance theory (TDT) is relevant to understand ways to reduce the distance between learners and educators for maximum effectiveness of distance learning. Our study applies TDT to review distance learning from a supply perspective and as a tool to ensure the improved quality of distance learning. This paper has two key contributions: we have presented evidence synthesis and conducted a foresight exercise. Following preferred reporting items for systematic reviews and meta-analyses guidelines, 275 documents published between 1994 and 2022 were identified for review. Our analysis revealed patterns, relationships, and trends in the application of TDT in various distance learning contexts. Most TDT research is conducted in social sciences (83.7%), with computer science accounting for 42.6% of the studies. The course materials' structure and design have also received considerable attention, with around 40.0% of the research focused on this area. For distance learning, studies revolve around factors such as student engagement, satisfaction, and TDT, which examine the distance between learners and instructors in various learning environments. Through systematic review and metaanalysis, we identify the three thematic areas in TDT research on distance learning. We have chartered themes on the effect of alternate design distance learning platforms on learner success, pushing the development boundaries in distance learning success through TDT, and the practical processes for designing successful distance learning courses via TDT-based pedagogical frameworks. In doing so, we streamline research in TDT and distance learning thematically and provide insight into further work. In addition, this study analyzed the relationships between sustainable development goal (SDG) and TDT literature. The co-citation analysis suggested that the strongest links were observed between education and innovation (SDG 4 and SDG 9), followed by education and gender equality (SDG 4 and SDG 5).

This article presents the life story of "Profile." The story is based on an ethnographic case study that aimed to understand the viewpoints of Profile's new writers and reviewers regarding the role of scientific journals in fostering communities in the knowledge society. To gather information, I relied on personal reflections from my experience as the creator and editor of the journal, along with documentary evidence (published issues, regularly collected statistics, editorial workflows, and communications with editorial teams and various bodies of Universidad Nacional de Colombia, which funds the publication). The story illustrates the inception, development, and primary challenges that need to be addressed to ensure its continuity.

The dramatic increase in science, technology, engineering, and mathematics (STEM) education studies has resulted in more authors promoting the use of Arduino in STEM education. Although there are educational research studies utilizing bibliometric procedures for the exploration of Arduino and STEM separately, there is a further need for research on their relationship. The current study utilizes several software tools (Vosviewer, Biblioshiny) and bibliometric procedures for this research domain. The documents were retrieved from the Scopus database from 2013 to 2022. Performance analysis was used to reveal publications and citation trends with the top contributors. Moreover, bibliographic mapping was used to comprehend the conceptual (co-occurrences), intellectual (bibliographic coupling), and social (collaboration network) structures of the retrieved data. The results revealed that the most prolific authors and institutes were addressed in Turkey. Besides, the most cited authors and institutes were from the USA. However, it seems this situation will change soon to the advantage of Turkey because of its highest annual growth rate and smallest document average age. This research also shows that there is a sign of the risk of monopolization in this area soon. Moreover, little cooperation was found within the dataset implying the importance and necessity of encouraging the mobility of researchers as well as increasing the collaboration between universities at both national and international levels. Overall, the study reveals that Arduino has great potential in using STEM activities in the future.

The STEAM learning environment with a gamification system has been found to promote innovators by enhancing creative thinking and innovation skills in students. It can engage and motivate students, making the course content come alive. The objective of this study is to provide an overview of the research conducted in the field of STEAM education with a focus on gamification, specifically examining studies published within the last six years. A bibliometric analysis and systematic reviews were performed to examine the trends in published literature on steam learning environment on gamification systems to promote innovators between the years 2018 and 2023. The retrieval of pertinent documents was conducted by employing keywords associated with "TITLE-ABS-KEY ("steam" AND "gamification" AND "innovation" AND "skill" AND "innovator" AND "learning environment" AND "ecosystem")" in the title, abstract, and keywords of the documents. Consequently, a total of 5 documents were obtained from the Scopus database for the purpose of conducting bibliometric analysis and systematic review. The review examines the pattern of publication growth, identifies the papers with the highest citation counts, determines the primary sources of these articles, assesses the productivity of writers, analyzes the leading countries contributing to the field, and identifies the prominent subject areas within the research domain. Based on the results of our investigation, it can be concluded that Thailand exhibits the highest level of productivity in terms of publications and citations. Education and Information Technologies is widely recognized as the primary scholarly resource in its field. Through the co-occurrence of keywords analysis, we determined that the most significant keywords associated with steam learning environment on gamification systems to promote innovators are gamification, creative thinking, steam education, design thinking and digital learning ecosystem and so on. The computer science and social science domains have the highest number of published documents.

Metaverse is a technology which allow users to "experience" a digital universe and includes several components like augmented and virtual reality. Researchers who wish to research the field may not know where to start or the key features of the field. Thus, the present study aims to discuss the general and social, conceptual, and intellectual structures of the field for future researchers on metaverse. For this purpose, the general structure, scientific maps, and socio-intellectual structure of the field were investigated. Then, recommendations are presented for future researchers by bibliometric analysis results. In the study, the abstracts and keywords in publications indexed in the Scopus database and Web of Science database were reviewed. After the data collected from 439 publications were cleaned and combined, 328 documents were analyzed using R. The performance analysis revealed that the most productive writer in the field was Ayiter E., the most influential writer was Bourlakis M., the journal with the most publications was "The Journal of the Association for Information Systems", and the most cited study was "Avatars, People, and Virtual Worlds: Foundations for Research in Metaverses" published in that journal. The examination of the intellectual, social and conceptual framework within the field unveiled predominant associations of metaverse with keywords such as virtual, second life, augmented reality, avatar, virtual world, and virtual reality. The most frequent collaborations were between Korea, Japan and the United States on second life and e-learning.

The review article presents an analysis of the literature on environmental literacy in sustainable development. By utilizing techniques to examine multiple documents published between 2013 and 2023, including citation analysis, co-authorship analysis, subject area analysis, and keyword analysis, this study aims to provide valuable information and insights into the research landscape surrounding environmental literacy and its contribution to promoting sustainable development. A systematic search was conducted to gather several scientific articles, conference papers, and publications from the Scopus database from 2013 to 2023. The findings of this analysis shed light on authors, influential institutions, and active research groups that contributed to the study of environmental literacy and sustainable development. This comprehensive review offers an understanding of the state of research in this field while identifying areas for further exploration and research gaps. The insights gained from this study can be highly beneficial for researchers, policymakers, and practitioners seeking to advance knowledge and take action toward promoting literacy's role in sustainable development. This analysis is a foundation for advancing our understanding of literacy's significance while emphasizing its vital role in sustainable development efforts.

This study aims to ascertain the research trends of articles on scientific literacy in primary schools. In the study, both bibliometric and content analysis techniques were employed. In the Web of Science database, 145 studies conducted between 1993 and 2021 and 60 studies conducted between 2002 and 2021 were included in the content analysis for bibliometric analysis. According to the findings, there is a rising interest in scientific literacy in primary schools. Bybee, R., and McCrae, B., were the most cited authors in this study. The United States was the most frequently cited country, and the Australian Council for Educational Research was the most frequently cited institution. Few mixed studies have been conducted on the topic of scientific literacy, as qualitative studies have dominated the field. As sample groups, primary school students and college graduates were favored. The study concluded that scientific literacy in primary school is mostly promoted by organizations, journals or authors in developed countries. The results of the study were discussed in light of the relevant literature, and suggestions for further studies were offered.

This paper analyses Sol Plaatje University's (SPU) progress on increased research activities. The paper employs bibliometric analysis review method to demonstrate the university's transition from being a predominantly teaching-focused to a more research-oriented institution. A novel, data-driven methodology is also adopted in this paper, to identify and examine SPU's research niche through publications. This paper's data were collected from the Scopus and Web of Science databases. The paper's findings reveal that there was an overall significant increase in research outputs, observable on yearly basis for a decade (2014 to 2023). The yearly increase in research output is recorded from diverse research fields, including machine learning, cryptography, environmental research, and public health. Findings further reveal that SPU has built its international research collaborations within the African and European continents. This paper's findings contribute to literature on higher education development by offering insights into how newly established universities can transition from a teaching-centric focus to becoming research-active. This paper revealed the importance of strategic planning, interdisciplinary research, and international collaboration in the development of a vibrant research environment.

This study aims at a detailed analysis of bibliometric studies in science education through articles published in peer-reviewed journals. The bibliometric network analysis performed on 846 articles in the Scopus database was conducted on the bibliographic data obtained using the VOSviewer program. In the citation analysis phase, the bibliometrix program, Lotka's law and author impact ratio measurements were used. The results obtained provide trends in the field of science education and important clues for researchers. According to the results obtained, it was determined that the most studies were carried out in 2022, according to years. According to the keyword analysis, it showed that the most frequently used keywords in articles were "education", "research", "bibliometrics", "citation analysis". Looking at the most frequently used terms, the terms "research productivity", "pandemic", "h index", "average" are respectively according to their high relevance scores. It has emerged that the most cited countries are the Spain, America, China, Brazil respectively. "Scientometrics", "Sustainability (Switzerland)", "Computers and Education", "Journal of the American Society for Information Science and Technology" are the most cited journals in studies.

The aim of this study is to reveal the content analysis and trends of studies on misconceptions in biology education. Within the scope of the research, articles containing misconceptions about biology were accessed from the Scopus database. "Biology and misconception" was searched in the title, abstract and keywords in the Scopus database on September 13, 2022. A total of 410 publications about misconceptions in biology education were found in the search. The years of accessed publications were determined between 1970 and 2022. A total of 410 publications were analyzed in the research, regardless of language. According to the data obtained, 53 countries and 143 journals published articles on misconceptions in biology. However, in order to obtain clearer data, 3 articles were determined as the minimum number of articles for a country, and 31 countries and 27 journals were considered in this research. According to this research, in terms of the number of documents, the USA is the most published country with 199 articles, and Turkey is the second most published country with 39 studies. It was also revealed that the most cited countries were the United States, Australia and the United Kingdom, respectively. "CBE Life Sciences Education" and "American Biology Teacher" journals were determined as the journals with the most publications on the subject. In addition, Journal of Research in Science Teaching, CBE Life Sciences Education, International Journal of Science Education, Journal of Biological Education, Evolution: Education and Outreach were identified as the most cited journals in the studies. The results of this study are thought to be important for the future development of studies on misconceptions in biology education. Regarding the results obtained from the research; Different indexes can be used in future studies, and other types of publications such as theses, conference proceedings or books can be used in analyses.

Higher education institutions (HEIs) are encountering numerous challenges in today's era of globalization and internationalization. Among these challenges, digital transformation stands out as one of the most demanding, as it involves using ICT to transform business processes. The successful implementation of such systems and related services requires careful management and measurement. To gain deeper insights into the present state of information systems (IS) and digital services in higher education and relevant theory-based models, a systematic literature review and bibliometric analysis were conducted. After the search and screening, this paper systematically reviewed 63 publications to identify various ISs and classify the research conducted to date. This paper highlights a critical gap in the investigation of ISs beyond learning activities, emphasizing the under-researched area of administrative digital services. Furthermore, the paper contributes by highlighting the prevalent use of DeLone and McLean's success model, particularly in combination with TAM/UTAUT, for empirically measuring IS success in higher education. Results also identify a need for greater consistency and rigor in the use of indicators across studies, since there is no evident agreement on indicators used for measuring the success dimensions. Bibliometric analysis on 1791 records underscores the evolving research landscape, with a shift towards evaluating the quality dimension emphasizing the significance of success evaluation. By achieving its primary objective of examining and organizing the relevant scientific literature on IS in higher education, this study contributes to the existing body of knowledge and offers foundational resources researchers and HEIs seeking to implement new ISs or improve their current systems.

All fields of knowledge are challenged to adopt newer, more sophisticated methodologies to cope with growing complexity. Phenomena under study require further multidisciplinary and mixed methods collaborations to achieve expertise able to improve research strategies and practices. Furthermore, traditional methodological approaches face limits to their analytical reach. Here, we demonstrate opportunities from adopting newer, more sophisticated methodologies in the field of higher education (HE) research by comparing three case studies. We argue that such methods and data innovate the mapping and understanding of global HE. These studies uncover novel field characterizations, enabled via analysis of tens of thousands of HE authors and articles over several decades to assess how journal publication, topics, and levels of analysis (individual, organizational, and system) have evolved. Our results imply that to better understand the future of HE worldwide and to address growing challenges, newer methodological directions and data sources will be key to facilitate more comprehensive examinations of the globalizing field. However, our analysis also highlights the technical and learning challenges in implementing these methodologies; thus, we argue for the need to promote more sophisticated methodological training of current and future generations of HE researchers as well as strengthened collaborations across disciplinary, methodological, and cultural boundaries.

Internationalization is known to enhance university capacities in cross-border learning and encourage institutional transformations for improved quality of scholarship and education. Studies on internationalization of research and teaching are, however, under-problematized with regard to asymmetries that pervade different collaborating systems and cultures. This paper addresses this gap by elucidating asymmetries in the Greater Bay Area of China (GBA), which is dealing with differences in legacies and experiences of internationalization in university research and teaching. At a time when the governments in the three constituent jurisdictions of GBA--Guangdong Province, Hong Kong Special Administrative Region (SAR), and Macao SAR--encourage universities to collaborate across jurisdictional borders, this study applies a bibliographic analysis to shed light on asymmetries and mitigation strategies in internationalization of research and teaching.

Background: Massive open online courses (MOOCs) have gained popularity as a form of distance education, highlighting the need for additional research. Various studies have systematically examined scholarly research on MOOCs. However, the reviewed academic publications on the use of MOOCs in engineering education are limited. Purpose/Hypothesis(es): This study aims to examine the implementation of MOOCs in engineering education using systematic review and bibliometric analysis methods. Design/Method: This study examines 68 studies from the Web of Science database that fall within the scope of the systematic review and 257 studies for bibliometric analysis. Results: Since 2018, there has been a growing number of studies exploring the uses of MOOCs in engineering education. The quantitative research method is the most preferred, while the mixed method is the least preferred. The study found that using MOOCs in engineering education resulted in positive student perceptions and satisfaction. However, the lack of interactivity between learners and instructors or among learners was the most frequently reported problem. Moreover, the bibliometric analysis indicates that reviewed studies extensively explore learners' engagement, interactions, and feedback processes. Recently, academic research focused on sentiment analysis, deep learning, educational technology, machine learning, and text mining. Conclusions: There is a need for further investigation into utilizing MOOCs in engineering education. This study's evaluation of MOOCs' pros and cons yields essential insights for optimizing their use in engineering education. By leveraging the positive aspects outlined in the study, educators can enhance engineering students' satisfaction and participation in MOOCs. These findings offer a valuable resource for researchers exploring MOOC-related topics in engineering education.

Background: The "Journal of Engineering Education" ("JEE") is a leading academic journal that serves to cultivate, disseminate, and archive scholarly research in engineering education. Bibliometric analysis has been gaining considerable interest from the scientific community in recent years. However, to the best of our knowledge, bibliometric analysis was not employed to analyze the publications of "JEE." Purpose: In recognition of "JEE"'s 111 years of publication, this paper uses bibliometric analysis to provide a retrospective journal overview. This study analyzes the publication characteristics, influence, and collaborative relationship of "JEE." It also provides data for the development of future research. Method: A total of 1251 articles of "JEE" were retrieved from Scopus database for our bibliographic analysis using VOSviewer (Van Eck and Waltman, "Scientometrics" 2010; 84(2):523-538). The search was performed in mid-November 2021 using the term "Journal of Engineering Education" in the "Publication Titles" field, yielding 1379 documents between 1969 and 2021. We excluded editorials and notes and only included articles, reviews, and conference papers. Results: "JEE" has increasing contribution and influence within empirical engineering research publications regarding the quantity and the quality/citations of its published articles. The top contributing institutions are mainly from the United States. Major themes identified include knowledge acquisition and skill development, diversity and inclusion, engineering research and assessment, engineering learning mechanisms, and instrument and measurement. Conclusions: Emerging technologies and challenges provide new research topics and directions for "JEE." Additionally, this study uncovers certain research gaps that "JEE"--to increase contributions and influence--can identify as growth areas.

The economic impact of resource investments into higher education has been the focus of considerable research in recent years. Many contributions analyse the strength of the connection between economic development and higher education at the local level and the conditions which make certain systems more effective and efficient than others. In this paper, we provide a systematic bibliometric review of the available literature on the subject, various dimensions of this complex issue, constructing and analysing a map of variables used by selected researchers in the field. A summary of knowledge gaps, research limitations, topics explored and applied methods is provided to envisage future research in this field.

Due to the growing interest in the integration of ethnomathematics in mathematics education, we undertook a systematic literature review and bibliometric analysis of research on the incorporation of ethnomathematics in geometry teaching from 2011 to 2021. The search for 37 relevant research articles was done on Google Scholar, Scopus, and by hand search of some key journals. Data retrieved were analyzed descriptively by using Excel and NVivo. The findings showed that literature on ethnomathematics in teaching geometry is mainly produced and consumed in Indonesia, Zimbabwe, Nigeria, and Israel. Also, the findings revealed that the research topics/themes addressed by literature on ethnomathematics integration in teaching geometry can be grouped into five themes: views, practices, effects, challenges, and development of competence. Most of the studies conducted in this area employed ethnography. From the present study, it was observed that the number of research article publications relevant to the present study has increased exponentially, especially from 2018 to 2021. Therefore, it is our belief that this review will aid in the creation of systematic review procedures and reviews that are specifically concerned with the incorporation of ethnomathematics into geometry instruction.

The research aims to analyse the most current (2015-2023) literature on STEM education to gain a deeper understanding of current trends, priorities and developments in the field of STEM education. Scientific studies determined within the scope of the study were examined using bibliometric and content analysis methods, which are among the systematic compilation methods. First, access to the WoS database was gained, and a subject-based search was conducted using the keywords "STEM education" and "Meta-analysis." In this context, 38 scientific studies containing these relevant keywords were found in the search. The collected data were initially analyzed on the basis of descriptive attributes in the WoS. Subsequently, the listed publications were analyzed using the bibliometric analysis tool VOSviewer for bibliographic attributes, including citation counts, co-citation, co-authorship, cooccurrence, and bibliographic coupling analysis types, based on authors, institutions, and countries. Finally, 18 articles from these scientific publications were evaluated through content analysis in terms of various characteristics of following the PRISMA flowchart. The most prominent keywords associated with the examined concepts included technology-related terms like "computer-based learning," "digital game-based learning," "academic achievement," "active learning," and "problem-centered instruction." Furthermore, the general focus of scientific studies appears to be on determining the impact of a STEM education method on student performance.

Schools are significant settings for the development of young people, yet few studies have investigated the multiple facets of school climate and students' well-being. This research aims to map the literature production in the two intertwined concepts: students' well-being, and school climate. The study applied bibliometric analysis to map the research status of school climate and students' well-being using metadata extracted from over a period of 33 years. The analysis presents a detailed overview of school climate and students' well-being in terms of scientific production, citations, authorship, countries' production, and institutions' outputs. Results highlighted the recent developmental trends of publications on students' well-being and school climate and outlined the precursors for triggering this combination. With reference to students' overall well-being, analysing the results shows that research on school climate increased markedly in different parts of the world. However, when compared to Arab countries, rare studies were conducted.