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In this study, the variables having impact on the student motivation have been analyzed based on the articles, conference papers, master's theses and doctoral dissertations published in the years 2000-2017. A total of 165 research papers were selected for the research material and the data were collected through qualitative research techniques through document review and content analysis. According to the research results, the most important factors affecting student motivation are the fields of teacher, teachers' classroom management skills and their teaching methods. In this research, factors having less influence on the student motivation are parental communication, student characteristics and study fields. In addition, relational search type was used more than others, mostly students were selected as the study group and most researches were conducted in USA and Turkey.

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.

The subject of computer science (CS) and computer science education (CSE) has relatively recently arisen as a subject for inclusion within the compulsory school curriculum. Up to this present time, a major focus of technologies in the school curriculum has in many countries been on applications of existing technologies into subject practice (both software such as office applications, and hardware such as robots and sensors). Through uses of these applications, information and communications technologies (ICT) have focused on activities to support subject and topic learning (across wide age and subject ranges). Very recently, discussions for including computers in the curriculum have shifted to a much greater focus on computing and CS, more concerned with uses of and development of programming, together with fundamental principles of problem-solving and creativity. This paper takes a policy analysis approach; it considers evidence of current implementation of CSE in school curricula, the six main arguments for wider-scale introduction of the subject, the implications for researchers, schools, teachers and learners, the state of current discussions in a range of countries, and evidence of outcomes of CSE in compulsory curricula. The paper concludes by raising key questions for the future from a policy analysis perspective.

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.

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]

Clinical trials for the treatment of schizophrenia now often include cognitive assessments in addition to clinical ratings of symptoms. Recently, these trials have included cross-national assessments. It is not clear if translated psychological tests produce consistent results across different languages. This paper presents the results of a study of the comparability of the results of cognitive assessments in different English-speaking countries and a number of countries where tests were translated into other languages. Performance on tests of executive functioning, verbal and visuo-spatial learning and memory, language skills, psychomotor speed, and vigilance was compared across the first episode patients with schizophrenia (n=301) assessed in six different languages (English, French, Finnish, German, Hebrew, and Afrikaans), including two different countries where patients were assessed in English and other languages: Canada (French) and South Africa (Afrikaans). The variance in performance across the sites tested in English was as large as the variance between English and non-English speakers when all tests were considered. Performance differences across English and other languages were found only for executive functions, vigilance, and psychomotor speed, with executive functioning differences nonsignificant when education was considered. No differences were found between English and non-English speakers in Canada. These results suggest that the translation of tests of memory and verbal skills can lead to consistent results across translated versions of the tests. Differences between countries were greater than differences between languages, suggesting the need to consider representativeness of patient samples in terms of local educational attainment. In general, these data support the validity of cross-national neuropsychological assessments. [Copyright &y& Elsevier]

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.