Search

In the development of physical theories, thought experiments play a crucial role. Research on this topic began in 1976 and has continued to the present. This study aims to provide a more complete picture of the progress of thought experiments over the past two decades. To achieve this, this study employs bibliometric mapping methods. A total of 679 published papers were analyzed, including articles (504), conference papers (92), and book chapters (83). This data was retrieved from the Scopus database. The study's findings reveal that research and publications on thought experiments are highly valued and have received significant attention over the past eight years. According to the findings, 90% of the top 20 source titles contributing to thought experiments are from journals in the first and second quartiles (Q1 and Q2). This quartile ranking shows the quality and significant influence of a journal. The geographical distribution indicates that the United States contributes the most to thought experiments research, with 213 documents, 2592 citations, and 47 links. We also identified several prospective keywords that could be the focus of future research, including artificial intelligence, physics education, fiction, God, theology, productive imagination, technology, speculative design, and critical design. Therefore, this study provides a thorough picture of thought experiment research trends and future directions of potential topics that can be the focus of future researchers.

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.

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.

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.

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.

Massive open online courses (MOOCs) are online-based teaching programs designed to accommodate thousands of students without charging any fees. They began appearing in 2009 and 2010, became popular for a while, but are in decline now. This paper contains bibliometric and systematic reviews of research on MOOCs to see what can be learned from the innovation. The primary goals of these reviews are (1) to bibliometrically chart the research conducted on MOOCs and highlight significant milestones, (2) to reveal themes in MOOC research and discover key lessons, and (3) to surface any management education-specific lessons. The results show an increasing interest in scholarly work on MOOCs that demonstrates an enduring interest in reducing drop-out rates, although remedies have not yet been found. Studies demonstrate the importance of increasing opportunities for engagement and interaction. Few studies have explored MOOCs related to business and management. As universities have sought to monetize MOOCs, they have become less massive and less open as key components like credit and certification have been placed behind pay walls. The paper concludes with a critical discussion of MOOC research that suggests that they were a fad whose time has come and gone.

Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality, methodology, and uniqueness. Objective: Our study employs unconventional methods by combining altmetrics and bibliometrics to explore ChatGPT in education comprehensively. Methods: Two scholarly databases, Web of Science and Altmetric, were adopted to retrieve publications with citations and those mentioned on social media, respectively. We used a search query, "ChatGPT," and set the publication date between November 30th, 2022, and August 31st, 2023. Both datasets were within the education-related domains. Through a filtering process, we identified three publication categories: 49 papers with both altmetrics and citations, 60 with altmetrics only, and 66 with citations only. Descriptive statistical analysis was conducted on all three lists of papers, further dividing the entire collection into three distinct periods. All the selected papers underwent detailed coding regarding open access, paper types, subject domains, and learner levels. Furthermore, we analysed the keywords occurring and visualized clusters of the co-occurring keywords. Results and Conclusions: An intriguing finding is the significant correlation between media/social media mentions and academic citations in ChatGPT in education papers, underscoring the transformative potential of ChatGPT and the urgency of its incorporation into practice. Our keyword analysis also reveals distinctions between the themes of the papers that received both mentions and citations and those that received only citations but no mentions. Additionally, we noticed a limitation that authors' choice of keywords might be influenced by individual subjective judgements, potentially skewing results in thematic analysis based solely on author-assigned keywords such as keyword co-occurrence analysis. Henceforth, we advocate for developing a standardized keyword taxonomy in the educational technology field and integrating Large Language Models to enhance keyword analysis in altmetric and bibliometric tools. This study reveals that ChatGPT in education literature is evolving from rapid publication to rigorous research.

The learning management system (LMS) is a crucial component of the e-learning transformation which is becoming more urgent amid the Coronavirus disease (COVID-19) outbreak. The issue of adopting LMS is even more decisive in developing countries, where lots of efforts have been put out to broaden educational opportunities. However, there has not yet been any comprehensive analysis of how LMS-related issues are examined in these countries. To address this gap, this study uses the bibliometric method to construct an overview of research on this topic. The results unveil the distribution of the literature, prominent actors, and dominant themes in the literature of LMS in developing countries. In summary, the topic is a robustly potential research matter. Future researchers can use this study as a starter when investigating relevant subjects.

A stylised fact in bibliometric research is that in the field of management studies, half or more of the papers published are never cited. If true, this implies that efforts and resources are considerably wasted because half of the academic work is not considered worthy by the same community that developed them. We studied a sample of 2777 papers published in 20 journals and representing different levels of quality. Of these, only 191 papers, representing 6.5% of the sample, were never cited, suggesting that the aforementioned stylised fact is a myth. We identified the factors that contribute to the level of citations, including the ranking of the journal in the quality list, time since last citation, and number of authors. The implications discussed suggest a need for reflection regarding the relevance of the factors that predict future citations.

The diversity and advance of information, communication, and analytical technologies and their increasing adoption to assist instruction and learning give rise to various technology-driven conferences (e.g., artificial intelligence in education) in educational technology. Previous reviews on educational technology commonly focused on journal articles while seldom including mainstream conference papers which also contribute to an important part of scientific output in computer science and emerging disciplines like educational technology and are equally and even more important than articles in knowledge transmission. Hence, conference papers should also be included in bibliometric studies to produce a complete and precise picture of scientific production concerning educational technology. This study, therefore, uses bibliometrics and topic modeling to analyze papers from mainstream conferences, including Artificial Intelligence in Education, Learning Analytics and Knowledge, Educational Data Mining, Intelligent Tutoring System, and Learning at Scale, focusing on contributors, collaborations, and particularly research topics and topic evolutions to inform relevant stakeholders about educational technology's development and its future. Results indicate promising areas like affective computing and behavior mining for adaptive instruction, recommender systems in personalized learning recommendations, eye-tracking for cognitive process diagnosis, videos for feedback provision, and natural language processing in discourse analysis and language education.

Open science movement gains attention since it might enable a second scientific revolution that fundamentally changes research methods and standards across science. However, the discussion topics towards opens science both from the academia and the environments outside the scholarly communication process have not been formally identified. This paper contributes to that end by analyzing 145,716 open-science-related tweets and 3,200 research papers in Scopus from 2011 to 2022. The results show there is increasing interest about open science both on Twitter and from academia. There are similar foci for both the public on Twitter and the academia from Scopus, including cloud computing and COVID-19 pandemic. When the public on Twitter focus on open science events and citizen science, the scholarly research is more concerned about the detailed aspects and novel innovation in research. The findings might interest the policy-maker for offering evidence to facilitate open science policies and practices.

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.

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.

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.

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.

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 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).

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.

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.

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.

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.

This paper reports a bibliometric analysis of two small data sets: a set of 34 papers that make up "The Routledge handbook of vocabulary studies" (Webb, 2020) and a set of papers dealing with second language (L2) vocabulary research taken from a single journal "Frontiers in Psychology." Bibliometric maps based on author co-citations in these two data sets are presented and compared. Although the two data sets are comparable in terms of size, they appear to be very divergent. In particular, the significant sources identified in "The Handbook" map seem to play a relatively minor role in the "Frontiers" map. The obvious conclusion is that "The Handbook" is not as representative of L2 vocabulary research as its title might lead us to believe. The paper argues that micro-bibliometric studies like this one can sometimes highlight features that are lost in the more traditional large-scale bibliometric approach.

Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial intelligence (AI) applications; they have also engendered special challenges in terms of their social, ethical, and cultural implications. An assortment of commercial cheating-detection systems have been injected into educational contexts with little input on the part of relevant stakeholders. This paper expands several specific cases of how systems for the detection of cheating have recently been implemented in higher education institutions in the US and UK. It investigates how such vehicles as wearable technologies, eye scanning, and keystroke capturing are being used to collect the data used for anti-cheating initiatives, often involving systems that have not gone through rigorous testing and evaluation for their validity and potential educational impacts. The paper discusses accountability- and policy-related issues concerning the outsourcing of cheating detection in institutional settings in the light of these emerging technological practices as well as student resistance against the systems involved. The cheating-detection practices can place students in a disempowered, asymmetrical position that is often at substantial variance with their cultural backgrounds.

The interest in Data Envelopment Analysis (DEA) has grown since its first put forward in 1978. In response to the overwhelming interest, systematic literature reviews, as well as bibliometric studies, have been performed in describing the state-of-the-art and offering quantitative outlines with regard to the high-impact papers on global applications of DEA and the higher education system (DEA-HE). This study examines 75 systematic literature review (SLR) studies published between 2018 and 2022 and 508 bibliometric studies published between 1992and 2022. Four performance-focused areas are identified through SLR analysis: institutional performance, departmental performance, performance of study program, and performance of other higher education (HE) activities. This study highlights issues, methods, and resolutions in selected SLR literature. Bibliometric analysis revealed an increasing trend in DEA-HE since 2003, with the highest number of publications in 2021. Tommaso Agasisti was the most productive author, and Jill Johnes was the most influential. The journal Scientometric had the most publications in the area. This study lays the groundwork for future research. Future reviewers may find the common practises, constraints, and underlying assumptions presented in this study useful for the selection and analysis of relevant studies.

Since social media is increasingly pervasive in modern society, this bibliometric study aims to investigate its educational applications. Using the Scopus database, the bibliometric method analyses publications published between 2010 and 2022. The research indicates that student participation and ease of access are the two main benefits of using social media in the classroom. However, it also spreads misinformation and poses privacy and security risks. Articles that discussed how social media could be used in the classroom were found and organised using a bibliometric analysis based on their subject matter, year of publication, and authors. The research shows that between 2001 and 2020, there was a rise in the number of papers discussing the use of social media in the classroom. In addition, the top five countries in terms of annual publication output include the United States, the United Kingdom, Australia/India, and Canada. To further explore the connections between relevant articles, a co-citation network analysis was performed. Therefore, there must be strict rules and policies for using social media in education to address privacy and security concerns and the spread of false information.

Background: This research explores thinking and teaching strategy in sciences teaching by analyzing 2027 research articles from the Web of Science. It is anticipated that groups of keywords, writers, and universities will highlight patterns, offer advice to scholars and teachers, and add to the body of literature already available on the topic. Purpose: This study's purposes are to use the Web of Science to examine the current state of the literature on thinking and teaching strategy in sciences teaching, identify clusters of relevant keywords, authors, and universities, and investigate potential future research avenues in this area. Sample: The Web of Science provided the data for this study, which comprised 2027 scientific papers that were released between 1984 and 2022. A complete and representative sample was achieved by screening and choosing a sample from a starting pool of 4000 articles. Design and methods: Data from the Web of Science Core Collection database were gathered for this study using bibliometric and content analysis methods. From more than 4000 sources, pertinent papers on teaching strategies and scientific education were chosen, and 2027 peer-reviewed publications were further assessed. Non-scientific sources were excluded. Results: This study investigated 2027 scholarly publications on teaching and thinking techniques in science education published between 1984 and 2022 in the Web of Science Core Collection. Six study clusters spanning subjects including student knowledge and thinking, cognitive techniques for creativity, and robots in science education were found. The clusters included 59 universities, 89 keywords, and 199 authors from 63 different countries. Conclusion: In order to fully understand thinking and teaching strategies in scientific education, this study carefully analyzed 2027 research publications from the Web of Science Core Collection. The results might aid researchers, instructors, and regulators in understanding the state of the literature and potential future study topics in science education.

Purpose: The current study intends to synthesise the prior studies on employability skills among work-ready professionals in higher education through bibliometric and network visualisation tools. This study also identifies the gaps in the existing literature that still need to be filled and maps the course for future investigation. Design/methodology/approach: The current study examined research papers on employability skills among work-ready professionals in higher education to evaluate global patterns and the top authors, institutions, journals, and nations contributing to this field. The authors analysed eight hundred eighty-five papers from the Scopus database between 1982 and 2023 for the study. Open-source bibliometric tools like Biblioshiny were used in the study to examine the body of literature and to spot new directions for future research. Findings: The study's findings indicate that since 2008, researchers, academics, and policymakers have paid more attention to employability skills among work-ready professionals, and 2019 is the year seeing the highest no. of publications. Across the globe, 2077 authors contributed to the articles, papers, and journals published in the particular domain. Regarding location, the United Kingdom is the world's most productive nation, with 342 articles produced. Similarly, Australia, India, and Malaysia are the leading nations that have contributed to the field. Both keywords significantly contribute to scientific knowledge. Practical implications: The gaps in this study will serve as a reference point for researchers conducting future studies in this field. Additionally, the result of this analysis offers a roadmap for higher education to enhance graduate employability by embedding necessary skills into them. Originality/value: There has not been a bibliometric analysis concerning employability skills among Work-ready professionals in the existing literature; hence, this article is innovative. This study is the first attempt at integrating the concept. The study also gives an overview of potential directions for future research in this discipline.

This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study's objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature. Design/methodology/approach: A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review. Findings: The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. "patient care", "medical", "higher education" and so on are emerging themes around the topic. Research limitations/implications: These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively. Originality/value: Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.

An increasingly complex and demanding research landscape has seen university libraries rapidly evolve their services. While research data management, bibliometrics, and research impact services have predominantly featured in the literature to date, the full scope of support libraries are currently providing to their institutions is unknown. This paper aims to present an up-to-date view of the scope and extent of research support services by university libraries across Australia and Aotearoa New Zealand. A coding process analyzed content data from university library websites. Eleven research support areas were identified. Service delivery is split between synchronous and asynchronous modes. This paper describes a lived experience of an evidence-based library and information practice approach to improving research support services at two Australian university libraries, and while it highlights continued maturation of research support services, more research is needed to better understand influences on service development.

Purpose: This study aims to develop a framework for applying performance management principles to implementing a pluralistic model of scholarly impact in business schools to increase the value and relevance scholarly research to multiple stakeholder groups. Design/methodology/approach: Performance management principles were studied with case study data of scholarly impact that included bibliographic measures and altmetrics. An analytical model was built for a focal business school that provided benchmarks for managing scholarly impact by using data from three peer schools. Findings: Bibliographic, scholarly output measures and altmetrics were consistent across the focal school and peer schools, thereby providing a solid foundation for establishing performance benchmarks for annual performance reviews, promotion and tenure decisions and organizational impact goals. Practical implications: This paper provides guidance for designing, building and implementing performance management systems to foster scholarly impact. Originality/value: This paper integrates pluralistic impact models and performance management systems to build faculty expertise and align it with multiple impact domains.

Purpose: The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the problems and suggests improvements, provides a reference for MTI education in China and beyond. Design/methodology/approach: This paper presents a bibliometric analysis of the published final theses of experimental reports for the MTI in China between the years 2012 and 2022, the period during which this type of thesis was produced, to identify the production patterns of these theses. Findings: The number of experimental reports published by the nine leading universities accounts for 80% of the total 296 papers. The uneven development is also reflected in the supervision model and research content. Most universities can structure the main content of theses according to the suggestions of the MTI Guidance Training Outline. However, there are still deficiencies in the areas of experimental design, experimental validity, research questions and academic standards. Originality/value: This paper reflects on the problems of MTI theses of experimental reports. Also, suggestions are made for linking top-level design and university education, for joint progress in faculty development and talent training and for integrating industrial aspects and international visions, to provide a reference for MTI education in China and beyond.

Purpose: This study aims to enhance the understanding of the current research landscape regarding the utilisation of telepresence robots (TPRs) in education. Design/methodology/approach: The bibliometric and thematic analysis of research publications on TPRs was conducted using papers in the Scopus database up to 2023. The final analysis focused on 53 papers that adhered to the selection criteria. A qualitative analysis was performed on this set of papers. Findings: The analysis found a rising trend in TPR publications, mostly from the USA as conference papers and journal articles. However, these publications lacked technology integration frameworks, acceptance models and specific learning design models. TPRs have proven effective in various learning environments, fostering accessible education, better communication, engagement and social presence. TPRs can bridge geographical gaps, facilitate knowledge sharing and promote collaboration. Obstacles to implementation include technical, physical, social and emotional challenges. Publications were grouped into four thematic categories: didactic methods of using TPRs, TPRs for educational inclusivity, TPR as a teacher mediator and challenges in using TPRs. Despite the significant potential of TPRs, their broader adoption in education is still facing challenges. Research limitations/implications: This research solely analysed research papers in the Scopus database, limiting TPR publications with the keywords "telepresence robots", "learning", "teaching" and "education", excluding studies with different other keywords. Originality/value: This study enhances understanding of TPR research in education, highlighting its pedagogical implications. It identifies a gap in the inclusion of technology integration frameworks, acceptance models and learning design models, indicating a need for further research and development.

Aim/Purpose: The research aims to uncover the key research themes and trends of Social Media-Enhanced Blended Learning (SMBL) research. It will extract valuable insights from scholarly publications using bibliometric analysis. Background: Although previous scholarly works and bibliometric review papers have examined integrating social media into blended learning and its impact on teaching and learning, none of the studies has explored their convergence. Methodology: The bibliometric review utilized a dataset of 422 scholarly papers extracted from the Scopus research database, shedding light on the performance, and evolving conceptual structure of the SMBL field. Contribution: This study offers valuable insights into the structure and dynamics of the SMBL field, guiding future researchers and practitioners on decisions about social media technology integration in blended learning. Findings: The extant literature on SMBL demonstrates a growing interest in harnessing the potential of social media technologies to enhance the blended learning approach. Notably, "social media," "blended learning," "flipped classroom," "tertiary education," "e-learning," "online learning," and "pandemic" emerged as the top keywords, emphasizing the central focus on leveraging social media platforms to enhance the blended learning experience. Recommendation for Researchers: Research can be extended using multiple research databases and the inclusion of other document types to capture more articles describing the SMBL field. Future Research: Potential future trajectories of the SMBL field can be research studies about developing critical thinking skills and implementing project-based learning methodologies. We also suggest further research on the use and effectiveness of social media integration in blended learning in various educational contexts and social media platforms.

Purpose: This research intends to analyse the trend in educational technology (EdTech) over the last 20 years using systematic scientific mapping and bibliometric analysis and how it relates to the Indian context. Considering the anticipated growth in this field over the previous three years post-pandemic, an existing literature analysis is required. This study aims to map the existing intellectual structure in EdTech applications to extend the knowledge base further in this field. This study also intends to research how the Indian education sector compares in terms of the research output for the EdTech sector, considering the increased government focus on online learning as per the education policy in 2020. The study's findings will pave the way for sustainable research that will be extended in the future. Design/methodology/approach: Bibliometric analysis is conducted on the manuscripts extracted from Web of Science databases for the last 20 years (from 2003 to 2023). This study uses a descriptive research approach for bibliometric analysis as, by nature, this is an exploratory investigation, and no physical or existing experiment can be performed on the quantification, characteristic or productivity of EdTech applications. VoS Viewer and R software are extensively considered for a detailed bibliometric analysis. Findings: E-learning, blended learning and distance education emerged as the most frequently used keywords. The results reveal that technology adoption, higher education, technology and modelling are the most researched topics in this field. Research limitations/implications: This research is limited to the last 20 years' database obtained from the Web of Science database and limited to educational, management and operation databases only. Practical implications: The paper intends to analyse the global scenario of EdTech research and ensures that the paper will effectively connect with researchers, educators, policymakers and practitioners from different parts of the world. The results derived from the bibliometric analysis, cluster analysis and identification of key authors, journals and countries can contribute towards the improved contribution in this area. Originality/value: The paper discusses the research in EdTech over the last two decades and effectively tries to bridge the gap in global research. Integrating systematic scientific mapping and bibliometric analysis is an innovative way to assess the growth and impact of EdTech. Considering the post-pandemic scenario and the government's emphasis on online learning, these are consistent with current developments.

Global science is set to experience different times in the 2020s. China surpasses the USA in terms of the number of scientific papers in 2020 in most scientific databases. This scenario is expected to have implications not only in East Asia but also beyond the region. Against this backdrop, this paper investigates the scientific influence of the US-China competition on six major Muslim-majority science systems. Multiple data sources are used to collect data for the bibliometric analyses, which include the trend analysis of collaboration patterns, discipline-based collaborations, authorship patterns for responsibility in collaborations, and citation premium of collaborations with the USA versus China. All the analyses consistently demonstrate that the USA is losing its scientific influence on the selected Muslim-majority science systems to China. Analysis results indicate an astonishing increase in collaborations with China-based scientists in the last decade. Half of the selected Muslim-majority science systems collaborate more with China-based scientists, whereas the other half collaborate more with the USA in 2021, indicating a fifty-fifty split. The collaborations with China-based authors garner higher citation premiums for the selected Muslim-majority science systems than the collaborations with the USA.

Purpose: This research sought to document the volume, development trend and geographical distribution of the research on teacher autonomy, identify high-impact journals, authors and documents and reveal the intellectual structure of the field. Design/methodology/approach: This paper analyzed the articles published on the related subject in the Web of Science (WoS) and/or Scopus. Based on certain exclusion criteria, analyses were conducted on a total of 259 articles. The data were then subjected to descriptive analyses and bibliometric analyses. Findings: The review found that the teacher autonomy knowledge base has grown dramatically since 2004. In the co-citation analysis, it was determined that four clusters focused on the themes of professionalism and professional development, leadership and self-efficacy, autonomy in language teaching and learning and self-determination theory. According to the co-word analysis in this review, the most co-occurring keywords were revealed to be "teacher autonomy," "autonomy," "teachers," "teacher professionalism" and "professional development." Originality/value: Despite increasing numbers of systematic reviews focusing on educational administration and leadership, this paper represents the first bibliometric review conducted to reveal the development of research on teacher autonomy using both the WoS and Scopus databases. Teacher autonomy can be regarded as an emerging field of study backed up by a theoretical background. Although there are some distinct prominent scholars in the research area, autonomy research still needs more scholars to specialize in the field.

Higher education informatization (HEI) is an interdisciplinary field that examines the use and integration of information and communication technologies (ICTs) in higher education. This paper provides a bibliometric and visual analysis of the research trends, patterns, and topics in this field. Using the Web of Science database, the authors selected and analyzed 199 SCI and SSCI papers on HEI published from 2000 to 2023 by VOSviewer and CiteSpace software. The results indicate that the publication volume of HEI research has grown significantly in recent years. The author network shows the collaboration and contribution of different researchers and institutions, while the journal network reveals the multidisciplinary nature and scope of the field. The keyword network and the burst keyword analysis identify the main research themes and the emerging hot topics in HEI. The co-citation network of sources illustrates the theoretical and methodological foundations and influences of the field. The paper concludes with some implications and suggestions for future HEI research.

The term "metaverse" first appeared in Neal Stephenson's 1992 science fiction novel Snow Crash. It was defined as a virtual environment shared through the Internet in which avatars represent people in three dimensions, and users can build what they wish. Since the publication of Stephenson's novel, technological advances have enabled the creation of several metaverses for widespread usages, such as virtual world platforms like World of Warcraft and Second Life. This paper aims to review studies on the metaverse using bibliometric analysis. The findings include a summary of the most important scientific articles and journals in the subject area and the most prolific and prominent authors, organisations, and nations. Furthermore, keyword co-occurrence analysis revealed the core research clusters and their sub-themes, allowing for more pertinent debates and viewpoints on crucial areas for future research. Finally, the implications for theory and practice have been addressed, offering a comprehensive overview of expected metaverse impacts on industry and society.

Massive open online courses (MOOCs) have also received interest from researchers worldwide; however, there was no comprehensive review of the MOOC research. This paper aims to identify the MOOCs research scientific landscape as the trend from publications worldwide. In assessing research trends, the bibliometric network analysis using distance-based network mapping in VOSviewer was applied in this review. The 3,211 eligible articles published between 2011 and 2020 confirmed three main research clusters: learning system, human characteristics and higher education clusters. The results also showed that terms, such as 'learning systems', 'gender differences' and 'flipped classroom' emerged as ongoing research trends. In addition, these findings indicated that the overall productivity rates in the Middle East and Gulf regions were low. Besides, the authorship mapping indicated an absence of the small-world properties. A discussion of the findings and directions for further research are also provided. Based on the network analysis method, this paper presents the researchers' alternative method to review literature using an approach that possibly includes mostly published articles related to MOOCs.

The aim of this study is to identify the most prolific countries in the field of special education and to discuss the widespread impact of their papers by taking into account the country's h-index. Through a bibliometric analysis, the data were collected in the Web of Science Core Collection category "Education, Special" in the Social Science Citation Index during 2011-2020. The 25 most prolific countries in the field of special education were determined in terms of paper productivity, and it was seen that the leading country was undisputedly the USA (54.42%). Meanwhile, a strong positive correlation was found between the h-index and the number of papers published by the countries (r=0.864). On the other hand, when the ranking in terms of the number of papers was reconfigured by the h-index, it was relatively changed. The possible reasons for this change for the countries with the most changing rankings were discussed by considering some definitive criteria such as the journal quartiles, the percentage of international and domestic, and the percentage of open access papers. This study reports a positive correlation between the quality and quantity in the field of special education for the publications of countries. It has been shown that where the positive correlation deviates, then especially, the journal quartiles, the percentage of international collaboration and the percentage of open access papers have a significant effect. The bibliometric findings may be useful to enrich the discussion about the widespread impact of papers and debate whether the use of h-index is acceptable for cross-national comparisons.

This study's main objective is to present bibliometric data on articles related to digital educational environments (DEEs) published in the journals indexed in Scopus database between 2003 and February 2023. The data collected from 61 articles published within the study's scope were subjected to bibliometric analysis based on six categories: number of articles and citations, most cited articles, most used keywords, most influential countries, most-important institutions, and the most important journals. This study was designed as a descriptive study and offers bibliometric network maps of the most popular papers, keywords and countries, institutions, and journals. VOS viewer was used to create network diagrams and bibliometric analyses. The bibliometric analysis showed that the most frequently used keywords were digital learning environment(s), digital educational environment. The most prolific authors related to DEE are Antón-Sancho, Vergara, Barana, and Marchisio. The results showed that DEE studies were started in 2003 and the most articles were published in 2021. This study presents a global perspective on DEEs and proposes vision for future research.

The purpose of this study is to examine the publications conducted in education related to virtual worlds with the bibliometric analysis method. This study employed the appropriate keywords determined via digging the Web of Science database. A total of 2,978 publications meeting the criteria of the current study were examined. VOSviewer software was used for the analysis. We utilized co-authorship analysis to see the descriptive characteristics of the examined publications. The most conducted type was proceedings and the number of publications fluctuated over time with a peak in 2012. England, USA, and Spain had the most publications among the countries, and Open University, Coventry University, and the Polytechnic University of Bucharest had the most publications among the organizations. The majority of the studies were published in the journal of Computers & Education, British Journal of Educational Technology, and Interactive Learning Environments. For revealing the most common keywords, we used the co-occurrence analysis. "e-learning", "second life" and "higher education" were the most occurred keywords in the publications. The citations analysis was used to see which authors and publications were mostly cited in the examined papers. The most cited authors were Dede, C., Lan, Y. and Ketelhut, D. J. According to the analysis of the cited references, Dalgarno and Lee, (2010), Merchant, Goetz, Cifuentes, Keeney-Kennicutt, and Davis, (2014) and Dunleavy et al. (2008) were the most cited studies. Technological developments have affected the interest in the use of VWs in education. As a new type or extension of virtual worlds, metaverse promises new opportunities in education. The findings of this study would present a road map for those future research to see the general picture of the relevant area.

The paper investigates the increasing number of international co-authored publications, comparing countries that accessed the European Union (EU) in 2004 (EU04) against other Central-Eastern European Countries (othEast-ERA), adopting a scientometric approach. This comparison looks at whether to be part of the EU is different from being part of the European Research Area (ERA) -- given that both entities aim at fostering more international collaborations. The hypothesis is that EU might convey more opportunities for the sake of international publications, although ERA assures access to European funding schemes anyway. Analysing the census of internationally co-authored publications from 1995 to 2015, difference-indifferences regressions show that Countries that joined EU in 2004 performed better than other Central-Eastern ones. Implications for the public policies in science are discussed.