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Framing has previously been studied in the field of pandemic preparedness and global health governance and influenza pandemics have usually been framed in terms of security and evidence-based medicine on a global scale. This paper is based on the pandemic preparedness plans, published after 2009, from eight European countries. We study how pandemic preparedness is framed and how pandemic influenza in general is narrated in the plans. All plans contain references to ‘uncertainty’, ‘pandemic phases’, ‘risk management’, ‘vulnerability’ and ‘surveillance’. These themes were all framed differently in the studied plans. The preparedness plans in the member states diverge in ways that will challenge the ambition of the European Union to make the pandemic preparedness plans interoperable and to co-ordinate the member states during future pandemics. [ABSTRACT FROM PUBLISHER]

Purpose: Scholarly interest in interorganizational learning (IOL) has spiked in the past decade because of its potential to absorb, transfer and create valuable knowledge for enhanced innovative performance and sustained competitive advantage. However, only a handful of review studies exists on the topic. The evolution of IOL has not been studied explicitly and there is a lack of understanding of the field trends. To fill this gap, this paper aims to comprehensively review the literature on IOL and map its evolution and trends using bibliometric techniques. In particular, the authors use visualization of science mapping freeware to systematize the findings and interpret the results. Design/methodology/approach: The authors synthesize the findings using "evaluative bibliometric techniques" to identify the quality and quantity indicators of the IOL research and use "relational bibliometric techniques" to determine the structural indicators of the IOL field such as the intellectual foundations and emerging research themes of IOL research. Findings: Through an analysis of 208 journal publications obtained from the Scopus database, the authors determine the leading authors, countries, highly cited papers and their contributions to the IOL literature. By identifying the key hotspots, intellectual foundations and emerging trends of IOL, the authors provide promising avenues in IOL research. Originality/value: To the best of the knowledge, this study is the first to systematically review the IOL literature and provide future research directions.

For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to point to a clear-cut divergence from the mainstream research path. The objective of this paper is to summarise the development trajectory of research on Citizen Science in Education so far, and then shed light on its future development, to help researchers direct their efforts towards the most promising open questions in this field. We achieved these objectives by using the lens of the Affordance-Actualisation theory and the Main Path Analysis method.

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.

Purpose: This paper aimed to examine moderate-to-vigorous physical activity (MVPA) levels in physical education. Method: A review of reviews was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The screening process, data extraction, assessment of the risk of bias, and analysis of the results were carried out independently by two reviewers. A total of eight systematic reviews from six databases, which included 224 studies, involving more than 80,000 students (elementary, middle, and high school), enrolled in more than 450 schools worldwide were unpacked. Results: Students fail to meet the 50% recommendation of MVPA lesson time, irrespective of country, school stage, gender, or MVPA measures. Physical education-based interventions increased students' MVPA during lessons (range 14.3%-24%) compared with control groups. Conclusion: Physical education is uniquely positioned to provide physical activity opportunities for students, but teachers must target the provision of adequate MVPA levels, which is not currently happening.

Background and purpose: Social engagement is an important active aging strategy to promote older adults' mental health. The purposes of this study were to compare social engagement in older populations around the world and explore associations with mental health outcomes. Materials and methods: An international cross‐sectional survey was conducted from 2017 to 2019. Data were retrieved from The International Social Survey Programme for a secondary data analysis across 30 countries. This study applied the Taxonomy of Social Activities and its six levels as operational definitions for a consistent concept of social engagement for international comparisons. Results: In total, 9403 older adults with a mean age of 72.85 ± 6.40 years responded. The highest levels of older adults' social engagement were found in Switzerland, Thailand, and New Zealand. Older adults of a higher age, with a lower educational level, who were permanently sick or disabled, who had no partner, who were widowed or whose civil partner had died, who lived alone, and who had lower self‐placement in society had significantly lower social engagement than did their counterparts. In the regression model, older adults' social engagement positively predicted general health, self‐accomplishment, and life satisfaction, but negatively predicted loneliness and depression. Conclusions: In aging societies worldwide, encouraging older adults' social engagement would be beneficial to promote mental health. Implications for nursing practice and health policies: Community professional nurses can develop strategies of social engagement based on the needs and sociodemographic factors of older adults to improve their mental health. Developing efficient strategies and local policies by learning from successful experiences in other countries is important to promote social engagement in aging societies. [ABSTRACT FROM AUTHOR]

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.

In this paper, I examine whether generalized trust and education, as well as social security policies of welfare state institutions matter for cross-national differences in subjective well-being (SWB), because knowledge on this issue is still lacking. For this purpose I integrated the insights of two sociological theories: Social Function Production theory and Actor-Centred Institutionalism. Based on these theoretical notions we derived several hypotheses, which I tested using multilevel analysis of the data from the European Social Survey (2006), in a sample of 37,237 respondents from 22 European countries. My findings indicate that various extensiveness of social security policies matter for the level of SWB, and for the impact of education on SWB. I found negative impact of low education on SWB in all countries, except in Northern and Western European countries. This might suggest that social security policies of the latter countries have diminished the negative impact of low education on SWB. Moreover, my findings indicate positive relationship between individual education and generalized trust; as well as between generalized trust and SWB in countries with all five types of social security policies.

Higher education systems globally have seen major increases in women's participation and the overall trend in OECD countries has been a transition from the traditional male majority in enrolments to a substantial female majority. Prompted by a recent reversal of this trend, this paper explores gender differences in participation in higher education in 27 OECD countries between 1971 and 2015. While increased participation by women was thought to be part of the solution to persistent gender inequalities we argue that this is not an inevitable outcome. Our argument is based on an analysis of changes in the gender composition of the student population, using available secondary data. We explore how changing gender differentials are linked to the concurrent massification of HE, changing distribution of enrolments by field of study, changes in sex segregation by field, features of national education systems and wider social structural differences related to gender. Our analysis examines the complex interaction between discipline-specific levels of sex segregation and overall levels of gender parity. We argue that that sex segregation needs to be considered alongside women's long-standing higher participation rates to understand why the latter has not triggered a transformation in the gendered division of labour.

This paper presents a bibliometric analysis of highly cited articles published in the Web of Science category "Education and Educational Research" in the Social Science Citation Index (SSCI). A total of 2091 journal articles published in this category and cited more than 100 times up to the end of the year 2016 were retrieved as highly cited articles. Distributions of highly cited articles per publication year, journals, institutions and countries were analysed, as well as the citation life cycle of the top-cited articles. The USA, its institutions and researchers are the absolute leaders in the category of Education and Educational Research according to the results of the conducted analysis.

This paper empirically examines the impact of academic research on high-tech manufacturing growth of 28 Organisation for Economic Co-operation and Development (OECD) and emerging countries over the 1991-2005 period. A standard research and development (R&D) expenditure based measure is found to be too general to capture the input in high-tech research. To overcome this problem, a novel proxy for high-tech research investment--the supercomputer capacity--is proposed. Empirical evidence strongly supports this choice of variable. It is also found that academic R&D exerts a larger growth effect on high-tech output than its industry and government counterparts, but only the impact differential between academic and government R&D is statistically significant.