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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.

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.

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.