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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.

This article maps the scientific production and the contents associated with the sustainable development goals and their integration with universities during the past 21 years. Although many of the topics related to sustainable development goals (SDGs) have been addressed in different studies for decades, it is since 2015 onwards that they gained greater prominence due to the inclusion of higher education as an important actor in the fulfillment of the 2030 agenda and the United Nations SDGs. For the purpose of this paper, a bibliometric analysis of 871 papers, 535 documents in Scopus, and 336 in Web of Science (WoS) from 1998 to 2019 was performed, and the Bibliometrix analysis tool was used. The objective of this mapping is to answer the following research question: Is the integration of the Sustainable Development Goals and Universities a field of study? An analysis of the network of collaborators and trend topics in Scopus and WoS allows us to identify the concurrence and relationships of some keywords, such as sustainable development, sustainability and planning, and some background words, such as humans and global health. In another analysis, the word "higher education" is related to change. This article suggests that the integration of the Sustainable Development Goals in Universities is becoming a field of study under exploration, with a peak of production in 2016 and that has remained stable in the last three years, but thanks to the leading role assigned to Universities, intellectual production should increase in the following years.

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.

This paper compares recent developments in income inequality in Canada, Germany, Sweden, the United Kingdom, and the United States. In addition to describing cross-national variation in changes in income inequality, the paper examines different explanatory factors for these recent developments. The findings reported indicate that there is substantial cross-national variation, not only with regard to the level of inequality, but furthermore with regard to changes in inequality. The results indicate that the equalizing effect of welfare state redistribution did not decrease in all countries. By contrast, in all countries there was a universal tendency towards increased inequality in the pre-tax and transfer distribution, although the magnitude of the change differs from country to country. Even though a polarization of the earnings distribution is reported, the results still give no support to cross-national convergence with regard to income inequality during the 1980s. [ABSTRACT FROM AUTHOR]

The paper looks at part-time higher educational services for students in the educational systems of Australia, Canada, Germany, France, Italy, Japan, The Netherlands, New Zealand, Spain, Sweden, the United Kingdom, and the United States. A comparative examination of the nature and importance of part-time higher education is then presented. (DB)

Background: Data from the Programme for the International Assessment of Adult Competencies (PIAAC) revealed that countries systematically differ in their respondents' literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults' participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further) education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries. Methods: This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results: Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > 0.95, all RMSEA < 0.08). Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions:Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.

Poverty is generally defined as income or expenditure insufficiency, but the economic condition of a household also depends on its real and financial asset holdings. This paper investigates measures of poverty that rely on indicators of household net worth. We review and assess two main approaches followed in the literature: income-net worth measures and asset-poverty. We provide fresh cross-national evidence based on data from the Luxembourg Wealth Study. (Contains 3 figures, 6 tables, and 16 footnotes.)

Background: Despite significant investments to support primary care internationally, income-based inequities in access to quality health care are present in many high-income countries. This study aims to determine whether low- and middle-income groups are more likely to report poor quality of primary care (PC) than high-income groups cross-nationally. Methods: The 2011 Commonwealth Fund Telephone Survey of Sicker Adults is a cross-sectional study across eleven countries. Respondents were recruited from randomly selected households. We used data from surveys conducted in Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, the United Kingdom, and the United States. We identified all questions relating to primary care performance, and categorized these into five dimensions: 1) access to care, 2) coordination 3) patient-centered care, and 4) technical quality of care. We used logistic regression with low and middle-income as the comparison groups and high-income as the referent. Results: Fourteen thousand two hundred sixty-two respondents provided income data. Countries varied considerably in their extent of income disparity. Overall, 24.7% were categorized as low- and 13.9% as high-income. The odds of reporting poor access to care were higher for low- and middle-income than high-income respondents in Canada, New Zealand and the US. Similar results were found for Sweden and Norway on coordination; the opposite trend favoring the low- and middle-income groups was found in New Zealand, United Kingdom, and the United States. The odds of reporting poor patient-centered care were higher for low-income than high-income respondents in the Netherlands, Norway, and the US; in Australia, this was true for low- and middle-income respondents. On technical quality of care, the odds of reporting poor care were higher for the low- and middle-income comparisons in Canada and Norway; in Germany, the odds were higher for low-income respondents only. The odds of reporting poor technical quality of care were higher for high-income than low-income respondents in the Netherlands. Conclusion: Inequities in quality PC for low and middle income groups exist on at least one dimension in all countries, including some that in theory provide universal access. More research is needed to fully understand equity in the PC sector. [ABSTRACT FROM AUTHOR]

Background: Disparities in access to primary care (PC) have been demonstrated within and between health systems. However, few studies have assessed the factors associated with multiple barriers to access occurring along the care-seeking process in different healthcare systems. Methods: In this secondary analysis of the 2016 Commonwealth Fund International Health Policy Survey of Adults, access was represented through participant responses to questions relating to access barriers either before or after reaching the PC practice in 11 countries (Australia, Canada, France, Germany, Norway, the Netherlands, New Zealand, Sweden, Switzerland, the United Kingdom, and United States). The number of respondents in each country ranged from 1000 to 7000 and the response rates ranged from 11% to 47%. We used multivariable logistic regression models within each of eleven countries to identify disparities in response to the access barriers by age, sex, immigrant status, income and the presence of chronic conditions. Results: Overall, one in five adults (21%) experienced multiple barriers before reaching PC practices. After reaching care, an average of 16% of adults had two or more barriers. There was a sixfold difference between nations in the experience of these barriers to access. Vulnerable groups experiencing multiple barriers were relatively consistent across countries. People with lower income were more likely to experience multiple barriers, particularly before reaching primary care practices. Respondents with mental health problems and those born outside the country displayed substantial vulnerability in terms of barriers after reaching care. Conclusion: A greater understanding of the multiple barriers to access to PC across the stages of the care-seeking process may help to inform planning and performance monitoring of disparities in access. Variation across countries may reveal organisational and system drivers of access, and inform efforts to improve access to PC for vulnerable groups. The cumulative nature of these barriers remains to be assessed. [ABSTRACT FROM AUTHOR]