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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.

With the widespread onset of the COVID-19 pandemic in 2020, Australian universities anticipated a significant loss of students and revenue and hence forecast the need for significant job reductions. Using Higher Education Statistics (HES) data on student numbers and full-time equivalent (FTE) staff by field of study, we explored changes which occurred between 2019 and 2020, this data only becoming publicly available in 2022. Against expectations, and with the exception of the field of study of Management and Commerce, nationally student numbers did not decline, but increased marginally. Our interest lay in the impact of this on casual academic staff employment in Australia's public universities, noting institutional strategies of having a flexible pool of casual staff to manage fluctuations in student demand. While the HES data does not allow firm conclusions, trends may become clearer with the release of the 2021 data. Nonetheless, it appears that many universities reduced casual academic staff numbers and marginally increased full and part time appointments. Overall, there were fewer academic staff to teach a static or increased number of students. What this exercise suggests is that irrespective of student enrolments, some universities may have used the pandemic as an opportunity for restructures and academic renewal. It also highlights the difficulties that universities may experience in managing their academic workforce.

The OECD Future of Education and Skills 2030 (E2030) project's overall goal is that of looking to the future in terms of how school curricula should evolve given the technological advances and other changes that societies are now facing. Towards that end, the E2030 project centres on the idea that education needs to equip students with the knowledge, skills, attitudes and values they need to become active, responsible and engaged citizens. Mathematics is considered a highly relevant subject for achieving the above stated goals, as such it requires further and more detailed analysis. As a result, it has been chosen as one of the E2030 project's subject-specific analyses. The project has been named the Mathematics Curriculum Document Analysis (MCDA) study as per the request of participating countries. This working paper presents the findings of the MCDA study, which involves participants from 19 countries and jurisdictions.

The National Student Outcomes Survey (SOS) collects information about students who completed their vocational education and training (VET) in the previous calendar year. The gathered information on the surveyed VET students includes their reasons for training, employment outcomes, satisfaction with training, and further study outcomes. The survey covers students who have completed a qualification (graduates) and those who have completed only part of a course and then left the VET system (subject completers). The National Centre for Vocational Education Research (NCVER) has conducted the survey with government-funded VET students annually since 1999. In 2016, the scope of the survey was expanded to report on the outcomes of graduates whose training was Commonwealth--or state-funded as well as fee-for-service graduates. These graduates were referred to as total VET graduates. An explanation of the difference between total VET and government-funded student outcomes can be found in appendix A. The expanded scope was applied to the 2017 survey for graduates (following a successful trial in 2016) and for the first time for subject completers and the series renamed VET student outcomes. At the time of sample selection, insufficient information is available from the National VET Provider Collection to identify 'actual' subject completers. Instead, a sample of potential subject completers is chosen, which includes students who are continuing in the VET system. The status of respondents is determined through the survey responses. As such, respondents to the SOS include a number of students who were sampled as subject completers based on administrative data reported to the National VET Provider Collection, but self-identify in the questionnaire as graduates. For many years these 'self-reported graduates' (SRGs) were categorised as graduates in survey outputs, because the self-report was deemed to be more reliable than the collection data. However, it became apparent that many SRGs were not, in fact, graduates. In response to this issue, in 2012, NCVER created a logistic model that predicted the eligibility of a SRG being an 'actual' graduate based on their personal and training characteristics (Braysher 2012). This model has since been run annually for each SOS to assign group membership to SRGs. Those SRGs that were not predicted by the model to be a graduate were re-assigned to their original subject completer status. One of the conditions of the initial analysis was that the model should be reviewed at least every four years to assess its ongoing validity and to make possible modifications should demographics and administrative data change and alter the predictive power of the model. The model was reviewed by NCVER in 2015 (unpublished). The review found some changes in data quality, but found no evidence that these changes were affecting the estimates. At the time no changes were recommended to the logistic model or graduate reclassification procedure, but it was recommended that the model be reviewed again at a later stage. In relation to data quality, the proportion of subject completers claiming to be self-reported graduates has declined significantly since 2007, particularly from 2015 to 2017, highlighting the improvement in the quality of the National VET Provider Collection data since the need to run the model arose (appendix B). Hence, it was appropriate to review the model again. This report presents the findings of an additional comprehensive review of the model and methodology.

Early years are a critical period for skill development. In this sense, the Early Childhood Education and Care (ECEC) programmes have an important role in promoting children's learning during this period. This study aimed to explore the effectiveness of ECEC programmes by analysing the relationship between students' ECEC attendance and their later academic proficiency using PISA 2015 data. PISA results show that across the OECD countries, students who had attended ECEC tend to have higher scores in academic proficiencies at the age of 15. However, these differences in academic proficiencies between those who attended ECEC versus those who did not attend are almost nil when students' socio-economic status (SES) is considered. This relationship reflects differential access to learning opportunities for children from deprived contexts. Furthermore, results show that entering ECEC programmes earlier than the typical time is associated with lower proficiencies at the age of 15. Therefore, earlier entry to ECEC is not necessarily beneficial. Learning benefits of ECEC provision vary considerably across PISA countries illustrating the importance of a country-specific policy context and the quality of their ECEC provision. The analyses of several quality indicators point out that the improved quality of ECEC programmes is associated with higher academic skills at later stages. These results highlight that mere attendance to ECEC programmes is not enough to ensure better academic performance. The quality of the educational provision, especially concerning those students from disadvantaged backgrounds, should be ensured.