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Module A of the OECD Higher Education Policy Survey (HEPS) 2022 elicited information on policies to promote digitalisation of higher education in OECD member and accession countries. In total, 30 jurisdictions responded, providing comparative information on various areas of digitalisation policy, from regulation and governance to financial and human resources. The survey results provide insight into the role of public authorities in guiding, coordinating and resourcing the digital transformation of higher education institutions. The analysis and comparative tables in this working paper provide insights that can support the development of strategic digitalisation policies.

Differences in teacher quality are commonly cited as a key determinant of the huge international student performance gaps. However, convincing evidence on this relationship is still lacking, in part because it is unclear how to measure teacher quality consistently across countries. We use unique international assessment data to investigate the role of teacher cognitive skills as one main dimension of teacher quality in explaining student outcomes. Our main identification strategy exploits exogenous variation in teacher cognitive skills attributable to international differences in relative wages of nonteacher public sector employees. Using student-level test score data, we find that teacher cognitive skills are an important determinant of international differences in student performance. Results are supported by fixed-effects estimation that uses within-country between-subject variation in teacher skills.

This report reviews the use of loans for learning in 33 European countries and analyses the schemes in eight selected Member States: France, Hungary, the Netherlands, Austria, Poland, Finland, Sweden and the UK. The analysis shows that loan schemes vary considerably across Europe in terms of types and levels of learning covered, conditions of access, repayment and governance. Some loans aim to increase participation in learning in general, while others are designed to promote equity. The report attempts to assess the selected loans and discusses their strengths and weaknesses and determinants of performance, while considering if a given scheme operates on a large scale or targets niche groups. The evaluation results provide a basis for identifying good practice principles for designing and implementing loans. Policy recommendations are formulated based on these findings. Annexed are: (1) Methodology; (2) Key terms and definitions; (3) Information on countries/schemes selected for in-depth analysis; (4) Proposed typologies of VET loan schemes; (5) Tables and figures; (6) Tosmana truth tables; (7) Questionnaires; (8) Basic characteristics of non-European loan schemes. (Contains 37 tables, 5 figures, 20 boxes and 33 footnotes.)

In this study, we investigated how empirical indicators of test-taking engagement can be defined, empirically validated, and used to describe group differences in the context of the Programme of International Assessment of Adult Competences (PIAAC). The approach was to distinguish between disengaged and engaged response behavior by means of response time thresholds. Constant thresholds of 3000 ms and 5000 ms were considered, as well as item-specific thresholds based on the visual inspection of (bimodal) response time distributions (VI method) and the proportion correct conditional on response time (P+>0% method). Overall, the validity checks comparing the proportion correct of engaged and disengaged response behavior by domain and by item showed that the P+>0% method performed slightly better than the VI method and the methods assuming constant thresholds. The results for Literacy and Numeracy by module revealed that there was an increase from Module 1 to Module 2 in the proportion of disengaged responses, suggesting a drop in test-taking engagement. The investigation of country differences in test-taking engagement by domain using the P+>0% method showed that the proportion of responses classified as disengaged was quite low. For Literacy, the proportion was well below 5% for the majority of countries; in Numeracy, the proportion was even smaller than 1% for almost all countries; while for Problem solving, the proportion of disengaged responses was more than 5% but usually well below 10%. There were significant differences in test-taking engagement between countries; the obtained effect sizes were small to medium. Population differences in test-taking engagement were highly correlated between the three domains, suggesting that test-taking engagement can be conceived as a consistent characteristic. Furthermore, there was a clear negative association between test-taking disengagement and proficiency in Literacy, Numeracy and Problem solving, respectively. Finally, subgroup differences for gender, age, educational attainment, and language proved to be insignificant or very small. Results suggest that males tend to be more disengaged, that disengagement increases with age in Problem solving, with lower educational attainment and when the test language is not the same as a testee's native language. Appended are: (1) Country differences in test-taking engagement; and (2) Subgroup differences in test-taking engagement.

The combination of work and study has been hailed as crucial to ensure that youth develop the skills required on the labour market so that transitions from school to work are shorter and smoother. This paper fills an important gap in availability of internationally-comparable data. Using the 2012 Survey of Adult Skills (PIAAC), it draws a comprehensive picture of work and study in 23 countries/regions. Crucially, it decomposes the total share of working students by the context in which they work (VET [vocational education and training], apprenticeships or private arrangements) and assesses the link between field of study and students' work. The paper also assesses how the skills of students are used in the workplace compared to other workers and identifies the socio-demographic factors and the labour market institutions that increase the likelihood of work and study. Finally, while it is not possible to examine the relationship between work and study and future labour market outcomes at the individual level, some aggregate correlations are unveiled.

An epidemic of obesity has been developing in virtually all OECD countries over the last 30 years. Existing evidence provides strong suggestions that such epidemic has affected certain social groups more than others. In particular, education appears to be associated with a lower likelihood of obesity, especially among women. A range of analyses of health survey data from Australia, Canada, England and Korea were undertaken with the aim of exploring the relationship between education and obesity. The findings of these analyses show a broadly linear relationship between the number of years spent in full-time education and the probability of obesity, with most educated individuals displaying lower rates of the condition (the only exception being men in Korea). This suggests that marginal returns to education, in terms of reduction in obesity rates, are approximately constant throughout the education spectrum. The findings obtained confirm that the education gradient in obesity is stronger in women than in men. Differences between genders are minor in Australia and Canada, more pronounced in England and major in Korea. The causal nature of the link between education and obesity has not yet been proven with certainty; however, using data from France we were able to ascertain that the direction of causality appears to run mostly from education to obesity, as the strength of the association is only minimally affected when accounting for reduced educational opportunities for those who are obese in young age. Most of the effect of education on obesity is direct. Small components of the overall effect of education on obesity are mediated by an improved socio-economic status linked to higher levels of education, and by a higher level of education of other family members, associated with an individual's own level of education. The positive effect of education on obesity is likely to be determined by at least three factors: (a) greater access to health-related information and proved ability to handle such information; (b) clearer perception of the risks associated with lifestyle choices; and, (c) improved self-control and consistency of preferences over time. However, it is not just the absolute level of education achieved by an individual that matters, but also how such level of education compares with that of the individual's peers. The higher the individual's education relative to his or her peers, the lower is the probability of the individual being obese. (Contains 3 tables and 10 figures.)

This report presents data on peer-reviewed S&E journals and conference proceedings reflecting the rapidly expanding volume of research activity, the involvement and scientific capabilities different countries, and the expanding research ecosystem demonstrated through international collaborations. Publication output grew about 4% annually over the past 10 years. China and India grew more than the world average, while the United States and European Union grew less than the world average. Research papers from the United States and EU countries had higher impact scores. International collaborations have increased over the past 10 years. [SRI International, Center for Innovation Strategy and Policy assisted with report preparation.]

This paper reports that between 2008 and 2009, unemployment rates across OECD countries increased among people at all educational levels, but rose to especially troubling heights among people without an upper secondary education. In 2009, the average employment rate across OECD countries was much higher for individuals with a tertiary (i.e. higher) education--indicating a better match between the skills these people have and the skills the labour market required. Between 2008 and 2009, the earnings advantage for people with a tertiary education remained strong in OECD countries. In some countries, earnings inequality between people with a tertiary education and those without an upper secondary education widened even further.

This bulletin examines the labor market experience of youth in the United States and eight other industrial countries from the early 1960s to the late 1970s. The analysis focuses upon unemployment, the most visible and measurable form of labor underutilization. The report highlights the size of the youth unemployment problem and discusses some of the underlying reasons for the large international differences in youth unemployment. To facilitate international comparisons, the data have been adjusted to United States concepts. Subjects covered include trends in labor supply, demand factors, the student labor force, apprenticeship and format training, guidance and counseling, youth minimum wage, and minority group unemployment. Countries studied in the report, in addition to the United States, are Canada, Australia, Japan, France, Germany, Great Britain, Italy, and Sweden. Presented in a brief conclusion are comparative differences among the countries and reasons accounting for them. (KC)

Youth unemployment is hardly new, but in the 1980s it poses unprecedented problems because economic growth no longer seems to provide the necessary jobs. Youth labor markets are being stripped of entry-level jobs by new technologies, changes in the global division of labor, and the upgrading of occupational structures. This paper describes government policies and practices on youth in selected countries that have a bearing on the transition from youth to adulthood. Data were gathered in extensive interviews with embassy officials and through analysis of documents provided by them, national education authorities, and the Organization for Economic Cooperation and Development (OECD). The countries surveyed were: Australia; Britain; Canada; Finland; France; Federal Republic of Germany; Hungary; Ireland; Japan; Norway; and Sweden. Findings are presented in the following areas: (1) Demography of Youth; (2) National Policies; (3) Administrative Structures; (4) Education and Training; (5) Socioeconomic and Gender Inequalities; (6) Guidance, Counseling, and Placement; (7) Financial Support; (8) National Service; and (9) Youth Organizations. Data are presented on five tables and three appendices. (BJV)