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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.

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.

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.

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.

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 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.

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.

In recent decades, the use of Massive Open Online Courses (MOOCs) has changed according to the different goals and studies that have been applied. Therefore, it is very important to explore and examine these changes and identify the development of use and conception of MOOCs. This research is considered empirical in nature and focuses on studies published between 2012 and 2017. The current study is conducted on three scientific databases to collect those studies that matched the research method and achieved its goal. Nine hundred seventy-nine studies were considered, and 37 studies have been selected for this study and will be analyzed based on study design and other variables. The collected studies utilized the qualitative method, quantitative method, and mixed-method approaches. These studies were analyzed through the use of MOOCs according to students' views, instructors' views, and students' and instructors' views. The results showed a different understanding of MOOCs between the students' views, instructors' views, and students' and instructors' views. Recommendations and future research opportunities are also discussed.

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.

A unique challenge for organizations is in leading diverse, dispersed teams whose members are motivated to work independently, but are willing to collaborate. The purpose of this study was to gain an understanding of how nuanced variations in motivational patterns influences the relationship between work satisfaction and virtual team effectiveness. A sequential, mixed methods design was used to analyze and explain the moderating effects of motivational orientation on this relationship. In the first, quantitative phase, participating virtual team members completed an online survey with items comprising the five motivation source scales from the Motivation Sources Inventory, work satisfaction, and eleven variables measuring utilization of virtual team effectiveness attributes from the Virtual Teams Survey. Seven hypotheses were tested, with support found for three of the hypotheses. Work satisfaction and utilization of the virtual team effectiveness attributes were found to be positively correlated. Support was also found for hypotheses that the relationship between work satisfaction and utilization of the virtual team effectiveness attributes will be stronger for virtual team members (VTMs) with low self-concept external and / or moderate or high goal internalization patterns. In the second, qualitative phase, follow-up interviews were conducted to support and provide rationale for the quantitative results. Qualitative analysis of interviews revealed three major themes focused on concerns regarding team leadership, organizational support, and technology. Viewed in context with the quantitative results, the themes suggest that work satisfaction may be improved for most VTMs, regardless of motivation pattern, by strengthening leadership, aligning rewards with goals, and enhancing the technology used for team communication.

The article analyzes the results of the international survey "Synthesis of Media Literacy Education and Media Criticism in the Modern World," conducted by the authors in May-July 2014. 64 media educators, media critics, and researchers in the field of media education and media culture participated in the survey, representing 18 countries: the USA, the UK, Canada, Australia, New Zealand, Germany, Ireland, Spain, Portugal, Sweden, Finland, Greece, Cyprus, Hungary, Ukraine, Serbia, Turkey, and Russia. Analysis of the data shows that the international expert community on the whole shares the view that the synthesis of media education and media criticism is not only possible, but also necessary, especially in terms of effectively developing the audience's critical thinking skills. However, only 9.4% of the experts believe that media critics' texts are used in media literacy education classes in their countries to a large extent. Approximately one-third (34.4% of the polled experts) believe that this is happening at a moderate level, and about the same number (32.8%) believe that this is happening to a small extent. Consequently, media education and media criticism have a lot of work to do to make their synthesis really effective in the modern world.

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.

The old myth about the ability and variability of potential in children is a comforting myth, for those who are uneasy with the degree of inequality they see and would rather seek to justify it than confront it. The myth of inherent potential helps some explain to themselves why they are privileged. Extend the myth to believe in inherited ability and some can come to believe that their children will inherit part of a greater potential. These beliefs create and sustain inequality in society and allow for the creation of levels of ignorance in populations. This article uses insights from social geography and the sociology of education to examine how the myths are sustained past and present. It notes that countries with the highest degree of income inequality and the most unequal education systems have the worst outcomes for young adults, and these are the countries in which eugenic notions of inherited ability are resurfacing.

Access to current research materials, pedagogical best practices, and relevant knowledge has become problematic as journal subscription costs have increased. Increasing delays in the traditional publication timeline, coupled with high subscription costs, have resulted in a diminished ability for IS faculty and their students to access the most relevant research in a timely manner, an issue felt most acutely in developing nations. As IS educators seeks to increase the dissemination of their work and ensure that students have the most updated knowledge, one option is publishing in open-access (OA) journals. However, a lack of knowledge, inconsistent quality perceptions, the presence of predatory journals, and publication fees have negatively affected IS researchers' support for OA publishing. This study surveyed 68 IS scholars and found that IS scholars do not publish in OA journals due to concerns about fees, quality, prestige, and impact factors. This study found more similarities than differences between junior- and senior-level IS scholars, with junior faculty members placing more emphasis on the speed of publication than their senior colleagues do. By understanding the underlying reasons that IS faculty are favoring OA options, the study hopes to shed light on the reliance on traditional journal publication models that restrict the distribution of intellectual property. If the OA approach were embraced by more journals, IS faculty members and their students benefit through expeditious access to relevant content to support faculty professional development, instruction, and research.

This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores that are significantly below the average for their country. Educational systems are classified in four models following the classification proposed by N. Mons. Results show that the more integrated the educational system, the greater the number of disadvantaged high achievers, and the lower the number of disadvantaged low achievers.

Background In responding to Covid-19, governments have tried to balance protecting health while minimizing gross domestic product (GDP) losses. We compare health-related net benefit (HRNB) and GDP losses associated with government responses of the UK, Ireland, Germany, Spain and Sweden from UK healthcare payer perspective. Methods We compared observed cases, hospitalizations and deaths under 'mitigation' to modelled events under 'no mitigation' to 20 July 2020. We thus calculated healthcare costs, quality adjusted life years (QALYs), and HRNB at £20,000/QALY saved by each country. On per population (i.e. per capita) basis, we compared HRNB with forecast reductions in 2020 GDP growth (overall or compared with Sweden as minimal mitigation country) and qualitatively and quantitatively described government responses. Results The UK saved 3.17 (0.32–3.65) million QALYs, £33 (8–38) billion healthcare costs and £1416 (220–1637) HRNB per capita at £20,000/QALY. Per capita, this is comparable to £1455 GDP loss using Sweden as comparator and offsets 46.1 (7.1–53.2)% of total £3075 GDP loss. Germany, Spain, and Sweden had greater HRNB per capita. These also offset a greater percentage of total GDP losses per capita. Ireland fared worst on both measures. Countries with more mask wearing, testing, and population susceptibility had better outcomes. Highest stringency responses did not appear to have best outcomes. Conclusions Our exploratory analysis indicates the benefit of government Covid-19 responses may outweigh their economic costs. The extent that HRNB offset economic losses appears to relate to population characteristics, testing levels, and mask wearing, rather than response stringency. [ABSTRACT FROM AUTHOR]