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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.

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.

While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narratives. It is argued that now is the best of times to define human vs AI contribution to education because AI can accomplish more and more educational activities that used to be the prerogative of human educators. Therefore, it is imperative to rethink the respective roles of technology and human educators in education with a future-oriented mindset.

Goal: The problem of the authenticity of teacher questions has not received sufficient attention from educational researchers interested in the intersection between dialogue and argumentation. In this paper, we adopt a definition of authentic questions as dialogical units that prompt teacher-student interactions that are both productive (i.e., several students participating) and constructive (i.e., students produce arguments of high complexity). Our goal is to analyze whether and how specific types of dialogue prompts can encourage students' engagement in more sophisticated argumentative interactions, as manifested through the construction of high-complexity arguments. Method: We describe the implementation of our analytical approach to a large corpus of classroom interactions from five European countries. The corpus was segmented into dialogical sequences, which were then coded according to the argumentation dialogue goal expressed in the sequence. We also coded students' arguments according to Toulmin's elements and distinguished between low- and high-complexity arguments from a structural point of view. Findings: Our findings show the predominance of the so-called Discovery questions as prompts that are both productive and constructive and Inquiry questions as prompts of argumentative constructive interactions. We discuss the importance of these findings for teacher professional development purposes.

The present study explores the self-regulated learning (SRL) research published in English or Turkish language journals included in the Web of Science database from the beginning to 2021 via bibliometric analysis. The 2197 articles that met the eligibility criteria were included in the study. The results reveal that the research on SRL has been carried out mostly by scholars from the USA and has gained increased attention since the 2000s. The three most influential scholars of self-regulated research are Chia-Wen Tsai, Philip H. Winne, and Roger Azevedo; however, the two top documents by local citations belong to Barry J. Zimmerman (2008) and Paul R. Pintrich (2004) in the study. The analyzed studies cited the Journal of Educational Psychology and Contemporary Educational Psychology most. The results reveal that motivation, metacognition, self-efficacy, and learning strategies are the keywords that most frequently occur and co-occur in the analyzed studies along with SRL. The trend topics of SRL research have been learning analytics, flipped classrooms, and MOOCs since 2018.

Although the number of publications on formative assessment in science education has long been high, there is no bibliometric analysis or scientific mapping in the literature to understand research trends in formative assessment research. This research aimed to examine the bibliometric results of articles on formative assessment in science education. Based on the criteria for inclusion and exclusion, 94 articles were selected for analysis. The results show that between 2015-2016 and 2020-2022, the number of publications on formative assessment increased substantially. Among the top ten institutions that contributed to the research are three institutions from the United States. The results also show that the United States had the most publications. Analysis of the co-citations showed that the "Journal of Research in Science Teaching," "Science Education," and the "International Journal of Science Education" were cited more than 100 times. The three most cited studies were published in "Assessment in Education: Principles, Policy, and Practice." The results show that the researcher used formative assessment, students, science education, teaching, education, engineering education, curricula, STEM, and e-learning in research on formative assessment. In light of the obtained results, practical suggestions for further studies are made in the conclusion.

Computational thinking (CT) is seen as a key competence of the 21st century and different countries have started to integrate it into their compulsory school curricula. However, few indications exist on how to assess CT in compulsory school. This review analyses what tools are used to assess CT in European schools and which dimensions are assessed. We analysed 26 studies carried out in K-12 between 2016 and 2020 in Europe. The results indicate that 18 different tools have been used and they can be categorized into five groups: questionnaires, tests/tasks, observations, interviews and analysis of products. From the tools we analysed, more than 50 dimensions were assessed and the vast majority of those were closer to programming skills rather than CT per se. Based on these results it seems that a common operational definition of CT, a competence model that indicates which competences students should reach at which age, and a tool that allows all different facets of CT to be assessed are currently missing.

Realistic Mathematics Education (RME) is one of the topics that was introduced about fifty years ago and has been studied continuously since then. The purpose of this study is to bibliometrically analyze the articles on the subject ofRME. Using the keyword "realistic mathematics education," 1056 articles were found related to the subject area of RME, which were scanned in the Scopus database in the "Social Science" publication type between 2000-2021. Retrieved articles were analyzed through the web interface page directed by bibliometrix, the R-Studio program package. With the analysis made, the following sub-titles were found: the number of articles produced by years, the authors and journals that published the most articles on the subject area, the most cited articles on a global basis, the annual average number of citations, the productivity of the authors over time, the citation burst values of the authors, the countries of the responsible authors and collaboration tendencies of these countries in terms of articles, word cloud, word tree map, collaboration network of authors, and joint citation network of journals. The results revealed that researchers' interest in the subject increased after 2012, and articles on RME were mostly published by three major journals, including Journal on Mathematics Education, Journal of Mathematical Behavior and Educational Studies in Mathematics. In addition, it has been determined that the authors with the most articles on RME were Zulkardi Z., Suparman S. and R. I. I. Putri, and the countries that published the most articles were USA, Indonesia and Netherlands. As a result of the relevant results, inferences were made for RME.

International student mobility has been rising as a global phenomenon in the last few decades, while its impact could be various in different contexts. For the European Union (EU), studying in another EU member country could be regarded as an important factor for the solidarity and integrity of the Union. The current study elaborates on the role of studying abroad regarding the attitudes of people toward immigration in the EU. It shows that people who are studying in an EU member country, belonging to higher social classes and from EU15 countries, are more likely to have positive attitudes toward immigration. But after controlling several socio-demographic variables studying abroad still contributes positively to the attitudes of EU citizens toward immigration. Accordingly, current study provides promising pieces of evidence on the social contribution of studying abroad for both future research and policymakers.

This research aims to conduct a bibliometric study to describe how game-based educational research is structured and how it has evolved over time. For this purpose, bibliometric analysis has been used to analyze 4980 publications indexed by the Elsevier SCOPUS database between 1967 and May 2021. The related publications were evaluated by analyzing co-authorship, co-occurrence, and citation by considering author, keyword, country, journal, university, and publication variables. As a result of the bibliometric analysis, it was concluded that the United States was leading the field and significantly publishing more studies. Top performing organizations were in Taiwan and the United States. According to the keyword co-occurrence analysis, "game-based learning" was the most used keyword followed by "serious games" and "gamification". Co-authorship status results show that collaboration between researchers in the field was not high and the number of researchers in co-author groups was small. It was found that the most influential research was related to literature review on games and the effectiveness of games on motivation or learning and Computers & Education was the most published and cited journal in game-based educational research.

Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease student anxiety, instill a feeling of ownership in students as they go, and confirm the module's subject notion. Online formative assessment (OFA) emerged as a result of the convergence of formative and computer-assisted assessment research. Bibliometric analyses provide readers with a comprehensive understanding of a study topic across a particular time period. We used a PRISMA-compliant bibliometric method. The Scopus database was searched for BibTex-formatted publication data. In total, 898 studies were analyzed. According to the results, "Assessment & Evaluation in Higher Education" and "Computers & Education" are the most influential sources. RWTH Aachen University and Universitat Oberta De Catalunya are the most effective institutions. The red cluster includes terms associated with higher education and evaluation. The word "e-assessment, e-learning, assessment, moodle" appears in the green cluster. This group is quite influential yet has a low centrality. The highest percentage is 79.2 for "online assessment". The subject is comprised of three components: "distance learning", "accessibility", and "assessment design". The most important topics were "e-assessment", "higher education", and "online learning". According to the country participation network, the USA and UK were the two main centers.

This study aims to conduct a bibliometric analysis of the literature on sports nutrition as recovery published between 1964 and 2022. This study illustrates the structure and trends in sports nutrition publications by using scientific mapping and analyzing publication performance. This study identified the contributions of authors, journals, countries, and widely cited articles. While there was no massive expansion in the first year of publication, the results show that high growth emerged in the 2010s. Several countries have made significant contributions to recovery research in sports nutrition. European countries account for the majority of publications on this subject. Latin American and Asian countries are also keeping an eye on the study's growth. Another finding is that various multidisciplinary publishers publish articles about sports nutrition. The International Journal of Sports Nutrition and Exercise Metabolism, on the other hand, is the journal that publishes the most articles. Burke L.M. has established himself as a prolific writer in this field, producing many documents and total citations. Several keywords have large nodes associated with their frequency of occurrence. The keyword relationship provides information about the relationship between keywords frequently appearing in one study. Visualizations of research trends are presented to provide an up-to-date reference guide for academics, revealing critical research gaps and potential research avenues for future studies to advance the discipline's consolidation.

The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education" or "physical activity" or "sport$") and ("augmented reality"). As a result of the search, 44 articles were reached, and 11 articles were excluded from the research because they were not related to augmented reality applications or sports science. The publication classification form consists of the titles "Years, Authors Number, Country, Journals, Age, Sample Size, Variables, Sample Method, Research Method, Data Collection Method and Data Analysis Method." There are a limited number of studies where sports and augmented reality technology are used and interacted together. With the spread of the use of augmented reality and similar technologies in the field of sports sciences, it is thought that such fields as health and education will be positively affected.

Successful results of all types of professional activities largely depend on the quality of training. At present, however, the acquired knowledge does not guarantee a university graduate stability of success throughout his/her career. Thus, the concept of lifelong education was gradually formed. From the previously established stereotype "education for life", society is moving to the "education throughout life". The traditional division of a person's active life into the period of professional activity and study is blurring. There is a need for a transition to continuing professional education throughout life. One of the most important tasks for the management is to ensure the continuous development and survival of the organizations. Such a task is also vital for the institutions of additional professional education. With the transition to the newly established market relations, in the Russian Federation, the conditions for the operation of the system of additional professional education have changed significantly. First of all, a market for services in the field of additional professional education has emerged, where a large number of organizations of various forms of ownership operate, creating strong competition. In these conditions, the maximum consideration of different factors influencing on the additional professional education institutions, as well as the choice of a management strategy, is an important condition for their successful development and competitiveness. The demand of society for an effective system of additional vocational education determines its place and role in the state policy in relation to the development of human resources. At the same time, it is necessary to take into account the challenges of the labor market, the increasing needs of production, the real sector of the economy, the non-production sphere in qualified workers, specialists, managers, as well as training and re-training of unemployed citizens.

Interest in higher education institutions (HEIs) as instruments for development has increased in recent years. The main objective of this paper is to address the contribution of HEIs to development through their missions, models, and challenges. With this purpose, we perform a historical analysis and characterise higher-education systems through the perspective of university models and missions, noticing relevant aspects regarding the evolution of this institution over time, as well as the transformations undergone. We also consider the main challenges that current higher education systems face in the 21st century. As methodological approaches, we carry out a literature review complemented by a comparative analysis based on data from the higher education systems of ten European countries. The findings show that HEIs can contribute to development through their missions, which are related to the models of higher education. Their first mission (teaching) contributes to improving human capital and attracting highly qualified people to their regions; the second mission (research) improves scientific knowledge which can foster innovative activities; and the third mission (community service) acts as a link between research and business, including patents, business incubators, and collaboration agreements. We also conclude that the challenges of higher education in the 21st century can be categorised essentially in three main areas: (1) globalisation and massification of higher education, as well as the internationalisation of HEIs' missions and diversification of the educational supply to attract new students; (2) new technologies related to the digitalisation of teaching and distance learning; and (3) higher education entrepreneurship, showing the importance of university-company relationships. This paper provides a global setting for a reflection on the role of HEIs in the 21st century, given their connection with society and the need for a more effective contribution to socio-economic development.

In the present study, the studies conducted on educational games between 1965 and 2019 were analyzed to determine the trends in research based on the year of publication, topic, publication type, country, target audience and the concepts included in the study title. In the study, 7141 studies that were accessed with "educational games" keyword on the ERIC (Education Resources Information Center) database were analyzed. The abstract data were classified by a software developed by the authors for analysis and the analysis was conducted in two stages. First, the studies on educational games were examined as a group, and then the most studied topics were analyzed separately. The study findings demonstrated that the number of studies on educational games was the highest in 2016 and the prominent topics included instructional methods, learning activities, simulations, and classroom activities. It was determined that digital games were investigated as a type of educational games extensively in studies conducted since 2000, the major type of publication was journal articles, and Australia was the leading country in publications. It was determined that practitioners were the major audience until 2000, and the studies on teachers were prominent since. It was determined that the most frequent concepts in study titles included learning, instruction, simulation, school, game-based, design, computer, science, and mathematics and games, respectively.

Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who can perform more functional skills. What is expected from today's literacy, which is also referred to as functional literacy, is not just saying the name, but also understanding what you read and harmonizing these information with the environment. It is critical to create texts that are easier to interpret, especially for poor readers and individuals learning foreign languages, in today's world where reading comprehension and correct use of information have become extremely important. In this context, the text simplification method, which is one of the text modification methods, comes to the fore. In accordance with these information, this current study aims to presents the bibliometric analysis of articles on text simplification, which are published in journals indexed in Scopus database in the field of social sciences. The data set of the study consists of 194 articles on text simplification published in journals scanned in the field of social sciences and scopus database. These 194 articles were examined in terms of different variables. The research is generally a descriptive study and document analysis method was used as a method. In the data analysis stage of the research, VOSviewer visualization software version 1.6.16 was used. According to the results obtained from the study, the most articles on text simplification were written in 2020 (f: 21), most cited article is "Interpretation as Abduction" (f: 363) written by J.R Hobbs, M.E Stickel, D.E. Appelt and P. Martin. Findings obtained from the research were shared in the form of tables, graphs and figures. The most common keywords that preffered by authors is "Simplification" (f: 18). The most cited institution is "Artifical Intelligence Center" (f: 363). The most cited journal is "Artifical Intelligence" (f: 363). The most published country is United States of America (f: 30). The most cited country is United States of America (f: 863). All findings obtained from the research were shared as tables and figures in the findings section.

Context: The research field at the boundary between learning and working is multidimensional, fuzzy, dynamic, and characterized by high growth. A study that comprehensively maps and aggregates this research field is missing. Approach: Using tools of bibliometric analysis (bibliographic coupling, co-citation analysis and co-occurrence analysis), we map the research at the boundary between learning and working in a scoping review study. Our study considers peer-reviewed articles published between 2011 and 2020 and recorded in Scopus. In total, 5,474 articles are included in our analysis. Findings: Focusing on the intellectual structure of the research field, we identified the most publishing and most cited countries, journals, and authors, as well as latent collaborative networks among countries, journals, and authors. Furthermore, we used references and keywords to identify the conceptual structure of the research field and distinguished four types of conceptual clusters: motor clusters, highly developed and isolated clusters, emerging or declining clusters, and basic and transversal clusters. Conclusions: Research at the boundary between learning and working is highly parcelled out internationally. This scientific parcelling represents a disadvantage for exchanging ideas and accumulating knowledge. In addition to forming a parcelled field, a dividing line runs between centre, periphery and excluded countries and scientists. Especially scientists from developing countries and nations, economies in transition and those from post-conflict situations are excluded from the international discourse. This situation is more than just a disadvantage for the exchange of ideas and the accumulation of knowledge. Instead, there is a systematic bias in the research landscape here.

Occupational stress has been constantly rising among academics in universities globally, which affects their health and well-being. Although some studies reviewed occupational stress in academics, there has been less systematic evidence reviewed occupational stress of academic staff through the lens of the Transactional Model of Stress and Coping (TTSC). This integrative review aims to search, extract, appraise and synthesise recent evidence relating to occupational stress, coping strategies, health, and well-being of university academic staff. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) methodology provides a structure for searching and reporting the search outcomes. Primary studies relating to occupational stress, coping strategies, health, and well-being of academics in university published from 2010 onwards were selected from five databases, CINAHL, ERIC, PsycINFO, SCOPUS, and Web of Science in June 2020. Keywords included "stress", "coping strategy", "health", "well-being", "academics" and "university" in various combinations. The boolean operators "AND" and "OR" were also used. 17 out of 682 articles were included in this review. Most studies reported academics experienced moderate to high level of stress, and the heavy workload was one of the main stressors. Both positive and negative coping methods were used by academics to cope with stress. Occupational stress can contribute to poor mental health and decreased well-being of academics. This review can help to understand the work phenomenon of university academics and improve their health and well-being, which in turn can contribute to satisfaction and productivity within the educational institutes.

Several studies have been published on disengaged test respondents, and others have analyzed disengaged survey respondents separately. For many large-scale assessments, students answer questionnaire and test items in succession. This study examines the percentage of students who continuously engage in disengaged responding behaviors across sections in a low-stakes assessment. The effects on calculated scores of filtering students, based on their responding behaviors, are also analyzed. Data of this study came from the 2015 administration of PISA. For data analysis, frequencies and percentages of engaged students in the sessions were initially calculated using students' response times. To investigate the impact of filtering disengaged respondents on parameter estimation, three groups were created, namely engaged in both measures, engaged only in the test, and engaged only in the questionnaire. Next, several validity checks were performed on each group to verify the accuracy of the classifications and the impact of filtering student groups based on their responding behavior. The results indicate that students who are disengaged in tests tend to continue this behavior when responding to the questionnaire items in PISA. Moreover, the rate of continuity of disengaged responding is non-negligible as can be seen from the effect sizes. On the other hand, removing disengaged students in both measures led to higher or nearly the same performance ratings compared to the other groups. Researchers analyzing the dataset including achievement tests and survey items are recommended to review disengaged responses and filter out students who are continuously showing disengaged responding before performing further statistical analysis.

Context: Existing studies have explored the association between workplace training and wages suggesting that training participation may have a positive association with wages. However, we still know very little about whether this association varies between men and women. Through its potential positive association with wages, training may balance wage differences between men and women. In addition, the gender wage gap varies across the wage distribution. Differences in the association between training participation and wages for men and women across the earnings spectrum may offer an explanation as to why the discrepancy in female/male earnings is larger at some point of the wage distribution compared to others. Approach: Using data from the Programme for International Assessment of Adult Competencies (PIAAC) and unconditional quantile regression, this paper examines whether the association between workplace training and wages differs between men and women at different points of the wage distribution across 14 European countries. To partly control for endogeneity in training participation, detailed measures of cognitive skills have been included in the models. Findings: Findings show gender differences in the association between training and wages across the wage distribution. In most countries, results indicate larger training coefficients for women than men at the lower end of the wage spectrum whereas they are larger for men at the top. This pattern holds across most countries with the only exception of Liberal ones, where women benefit less than men across the entire wage spectrum. Conclusions: The findings of this work reveal that distributional variations in returns to workplace training follow a similar pattern across industrialized countries, despite their different institutional settings. Moreover, differences in training coefficients of men and women at different parts of the wage distribution suggest that training could reduce gender wage differences among low earners and potentially widen the gap in wages among individuals at the top of the wage distribution.

This scientometric study examines the overall research trends, publication and citation structures, authorship and collaboration patterns, bibliographic coupling, and productivity patterns in the field of social support in education. Bibliometric data consisting of 545 documents was retrieved from the Scopus database during a period of 43 years (1977-2020) on 1 January 2021. Data analysis was performed using various scientometric software including MS Excel, VOS Viewer, Biblioshiny, CiteSpace and ScientoPy. The results of the study revealed that the first publication on this topic appeared in 1977, however, the major increase was observed during 2017-2020, whereas the maximum number of publications (N = 57) in a single year was published in the year 2020. Similarly, the highest number of citations (n = 1002) were observed in the year 1995 with an average of 334 citations per document. The most productive countries were the United States (N = 194), the United Kingdom (N = 56), and Australia (N = 50 publications). Results further indicated that more than 50.7% of the research in the social support area was done in medicine. Overall, the findings of the study reveal that most of the research in the aforementioned field originated from the developed countries which can be related to the developments in the medical field. The study indicates the importance of social support in the educational context due to an increased trend of inclusion and diversity in the education field. This research is the first bibliometric study in the field of social support in education.

This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus databases to conduct the bibliometric analysis. Furthermore, content analysis was conducted on 39 articles that met the inclusion criteria. This study demonstrates that VR research for CS education was faring well around 2011 but witnessed low production output between the years 2013 and 2016. However, scholars have increased their contribution in this field recently, starting from the year 2017. This study also revealed prolific scholars contributing to the field. It provides insightful information regarding research hotspots in VR that have emerged recently, which can be further explored to enhance CS education. In addition, the quantitative method remains the most preferred research method, while the questionnaire was the most used data collection technique. Moreover, descriptive analysis was primarily used in studies on VR in CS education. The study concludes that even though scholars are leveraging VR to advance CS education, more effort needs to be made by stakeholders across countries and institutions. In addition, a more rigorous methodological approach needs to be employed in future studies to provide more evidence-based research output. Our future study would investigate the pedagogy, content, and context of studies on VR in CS education.

This rapid systematic review aims to examine emerging evidence on the effects of COVID-19 on educational institutions and assess the prevalence of e-learning changes in the sector. This paper reviews literature on learning, teaching, and assessment approaches adopted since the COVID-19 outbreak, and assesses the impact on the sector, staff, and students, summarizing findings from peer-reviewed articles. It categorizes these into five key themes: (1) digital learning; (2) e-learning challenges; (3) digital transition to emergency virtual assessment (EVA); (4) psychological impact of COVID-19; and (5) creating collaborative cultures. This represents the first systematic review of COVID-19's impact on education, clarifying current themes being investigated. The author suggests that the term 'emergency virtual assessment' (EVA) is now added for future research discussion. Finally, the paper identifies research gaps, including researching the impact on lesser developed countries, the psychological impact of transition, and the important role of leadership and leadership styles during the transition and handling of the pandemic.

Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed.

Seamless learning has a significance that has been increasing in recent years, and an increasing number of studies on the subject in the literature draws attention. This study aimed to examine the research on seamless learning between 1996 and 2020 with the bibliometric analysis method. The Scopus database was used in the collection of the data. After various screening processes, a total of 389 publications were included in the analysis. Descriptive analysis and bibliometric analysis were used in the analysis of the data. The distribution of publications by years, types of publications, sources, and languages were analyzed in the research. Additionally, visual maps were created with analyses of co-author, cocitation, and co-word. At the end of the study, it was seen that there has been an increase in the number of publications from the past to the present, articles and papers were predominant, and that most of the studies were carried out in English. As a result of bibliometric analysis, it was concluded that the most efficient countries in seamless learning were the United Kingdom, the United States, and Singapore. Also, it has been determined that the National Institute of Education, Center for International Education and Exchange, and Kyushu University institutions are dominant. The most frequently mentioned authors cited in studies in many different fields are M. Sharples, L.-H. Wong, and H. Ogata. According to the co-word analysis, the keywords seamless learning, mobile learning, ubiquitous learning, and mobile-assisted language learning stand out in the field of seamless learning.

This study explores the role of the welfare state in reducing young people not being in education, employment, or training (NEET)s across 15 European countries. Using data from the Survey of Adult Skills in the Program for the International Assessment of Adult Competencies (PIAAC) in combination with the Social Expenditure Database, we conducted cross-national analysis to reveal whether the increase in public social spending moderates the risk of being NEET at a young adult age, especially for socially disadvantaged young people. Our results highlighted that the rise of one percentage point of public social spending per gross domestic product, including social expenditure on education, active labor market, and unemployment, is significantly associated with decreasing the odds of being NEET. Furthermore, these social expenditures appeared to lower the NEET risk given socially disadvantaged backgrounds suggesting that young people with low educational levels, whose parents have low educational attainment levels, non-immigrant families, and females are likely to benefit given the robust social protection system. These findings suggest that public social spending may be an effective investment in promoting the social involvement of young people from socially disadvantaged background.

The use of the Internet among children and adolescents is now a norm in many parts of the world. As the Internet offers a wide range of benefits to these ones, so does it expose them to possible various risks and harm. Researchers in different countries across the world have engaged in the production of relevant research-based knowledge in order to make the virtual world a safe place for the younger ones. However, while studies have been carried out on the subject of Internet risk among children and adolescents, there is a dearth of information on the assessment of research activities across different parts of the world. The present study employed Bibliometric techniques to determine research productivity patterns across the different regions and countries of the world. All relevant publications indexed in Google Scholar were collected between November and December, 2018. The findings of the study reveal that while countries in the American and European regions of the world have been very productive in researching on the subject, the same is not the case with their African counterparts.

A rich home literacy environment (HLE) fosters students' academic achievement. However, the link between HLE and children's reading comprehension is unclear. This study examined the effects of HLE factors on children's reading comprehension through a meta-analysis of 59 studies conducted between 1998 and 2018. Results of the meta-analysis indicated three main findings. First, the overall positive correlation between HLE and children's reading comprehension was moderate ([zeta] = 0.32). Second, sampling area, type of home literacy resource and parental involvement styles did not show a significant interaction effect between each HLE factor and children's reading comprehension. Third, parents' involvement and literacy expectations of children had a significantly higher correlation with children's reading comprehension than home literacy resources did. Findings of this study suggest that parental literacy activities involvement and parental literacy expectations contribute more to children's literacy knowledge enhancement. [Note: The month shown on the PDF (January) is incorrect. The correct month is April.]

Serious gaps are found when evaluating the recognition and inclusion of gender aspects in transport strategies, research and innovation. Similar issues can be spotted in the transport labor market, where only 22% of workers are women at the European level. The roots of these limitations are in the low participation of women in Science, Technology, Engineering and Maths (STEM) studies and, therefore, in the traditionally male-dominated transport field occupations. Stemming from the European project TInnGO, the current paper proposes a descriptive analysis to evaluate the gender gaps in educational provision and research in ten European countries. Specific indicators, such as percentages in the gender composition or the presence of university courses dealing with mobility and transport, have been defined and their availability in different countries is verified. In addition, a desktop review of practices for encouraging and supporting women in STEM studies is operated, underling characteristics such as the kind of initiative, the methods and tools used, the target group or the type of promoter. The results of this activity show that a wide network of associations and mentoring operates in various European nations, mostly targeting secondary school students, trying to make females aware of their potentialities in a deeply gender-biased field like the STEM one.

In this study, we investigated factors predictive of disconnection, or not being in education, employment, or training (NEET), among young adults with at least a 2-year college degree. We also explored the extent to which disconnection influences civic participation and well-being among NEETs with and without college degrees. The authors used 2012 and 2015 Organisation for Economic Co-operation and Development (OECD) data from the Survey of Adult Skills in the Program for the International Assessment of Adult Competencies (PIAAC) for 29 countries, including the United States, along with US 2012 data from the Education Longitudinal Study of 2002 (ELS:2002), collected by the National Center for Education Statistics (NCES). Results highlight that college-educated individuals whose parents have low levels of educational attainment actually have a higher likelihood of becoming NEET relative to college-educated individuals whose parents are more highly educated. Study findings also emphasize the influence of economic and geographic differences (country-level for OECD and county-level for United States) on NEET rates, in addition to the extent to which mothers have a higher likelihood and fathers have a lower likelihood of being NEET relative to their childless peers and the influence of country-level family leave policies on the odds of being NEET across the OECD. College field of study also emerges as an important influence on disconnection across the 29 OECD countries in the study, but not in the United States separately. Finally, comparing results for college-educated NEETs and NEETs without degrees, we found that higher education appears to reduce the likelihood of community disengagement and reports of poor health among NEETs across the OECD countries. However, this is not the case within the United States where NEETs are less likely to be engaged in their communities and more likely to describe themselves as in poor health regardless of their educational attainment.

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated substages, this current paper computes the educational economy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries bearing in mind the characteristics related to SDGs. The contribution of our study is the use of a novel approach to computing the educational economy efficiency using relational network DEA with GAMS. Even though some interesting differences reveal in the efficiency of the countries, the findings show that countries with high-efficiency scores are clustered around countries like Latvia, Slovenia, and Korea.

Although well researched in educational studies, inquiry-based learning, a student-centred way of teaching, is far away from being implemented in day-to-day science and mathematics teaching on a large scale. It is a challenge for teachers to adopt this new way of teaching in an often not supportive school context. Therefore it is important to provide high-quality professional development (PD) at a large scale. However, there is little empirical evidence about the effects of scaled-up professional development initiatives. Therefore, this paper presents an international research study for which long-term PD courses have been designed. These courses have been implemented across Europe in twelve different countries at scale by using the so-called "Cascade Model." Here, course leaders are educated, who in turn educate other teachers. The research study aimed at evaluating the overall impact the scaled-up PD had on teachers and at also identifying variables influencing this impact.