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This document provides technical detail and supporting data for the research findings discussed in 'The student journey in VET: the many faces of completion and non-completion'. The analysis in this technical paper explores: (1) an approach to identifying VET subject enrolment activity that serves a compliance or regulatory purpose; (2) variability in completion rates across VET qualifications, and associated differences in patterns of subject enrolments and outcomes; (3) different indicators of student outcomes in VET, including program completion, subject completion, and movement to subsequent VET; (4) student training pathways exploring the extent to which students undertook programs, stand-alone subjects, or a combination of the two, and how this training choice evolved over time; and (5) student training pathways exploring the extent to which students went on to enrol in a program at a higher, lower, or the same level of educations, and how these pathways compared for students who did and did not complete their initial program.

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.

This occasional paper is the first in a series on the National Quality Framework (NQF). This paper offers detailed insights into education and care service quality ratings for Quality Area 1 -- Educational Program and Practice, which focuses on ensuring that educational program and practice is stimulating and engaging, enhances children's learning and development, and meets children's individual learning and development needs. Australian Children's Education and Care Quality Authority (ACECQA) has chosen to focus this first occasional paper on Quality Area 1 because of its vital contribution to child outcomes and because the evidence indicates that services are less likely to meet the National Quality Standard (NQS) in this Area. Additionally, the paper is timely given ACECQA's work in period 2014/15 with Regulatory Authorities and Professional Support Coordinators to deliver national workshops to educators to help them better understand and meet the requirements of Quality Area 1. The paper provides a brief overview of the NQS, its rating system, quality areas and overall ratings to date. It then examines Quality Area 1 looking at differences across jurisdictions, management types, service sub-types, and socioeconomic and remoteness classifications. The paper culminates by examining patterns in the distribution of Quality Area 1 ratings and discusses possible explanations for these variations, as well as implications of the report findings and future directions. The paper is intended to be of interest to people who deliver education and care services, people who provide training and professional development services to the sector, and to officers in the Regulatory Authorities that conduct quality rating. Unless otherwise stated, the paper draws on data from the National Quality Agenda Information Technology System (NQA ITS) as at 31 December 2015.

The topic of more frequent and timely vocational education and training (VET) data has been an issue of interest for a number of years. Since 2015, the National Centre for Vocational Education Research (NCVER) has collected and reported data on government-funded students and courses on a quarterly basis. These quarterly data submissions are cumulative and allow additional data to be reported and corrections made to previously submitted data. The first year of quarterly reporting has provided a useful insight into how training activity is reported by the different jurisdictions over a calendar year. This paper presents the results of some initial analysis of that data using the reporting scope that was in place for 2015 reporting, broadly defined as all activity delivered by government providers and government-funded activity delivered by community education and other registered providers.

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.

In 2015, for the first time in its history, PISA (the Programme for International Student Assessment) asked teachers to describe the various aspects of their working environment and teaching practices. This paper examines how teacher, student, and school characteristics are related to science teachers' satisfaction in 19 PISA-participating countries and economies. The findings show that the most satisfied science teachers tend to be those who are initially motivated to become teachers. The results also highlight the positive relationship between science teachers' satisfaction and teacher collaboration, good disciplinary climate in science classes, availability of school resources, and the opportunity to participate in professional-development activities.

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.

Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER publishes data on the numbers of contracts of training that commence, complete, cancel/withdraw, re-commence, expire or are suspended and the time at which these events occur (referred to as the "date of effect"). From these events, the number of contracts in training at a given time can be calculated. Due to time delays in reporting data on the status of contracts to NCVER, the most recent data are estimated. In short, the estimation methodology is based on the calculation of "average lag ratios." A lag ratio is the ratio of the actual number of events (commencements, completions, etc) which occurred in a particular quarter to the number of those events which were reported in a given quarter. The average lag ratio is calculated by taking the average of the lag ratios found in a "time window," which is a moving period of eight quarters from the past. Further details on this methodology are provided in the technical paper produced by NCVER, "Estimation of apprentice and trainee statistics," which may be found on the NCVER Portal as a related item to this quarterly publication. The purpose of this technical paper is to document the adjustments that are made to the estimates at each collection, and produce a cumulative document of these adjustments, commencing at Collection 88, June 2016 estimates. [For "Australian Vocational Education and Training Statistics: Apprentices and Trainees 2016--December Quarter," see ED574672. To access "Apprentices and Trainees: Terms and Definitions. Support Document," see ED574673.]

Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER publishes data on the numbers of contracts of training that commence, complete, cancel/withdraw, re-commence, expire or are suspended and the time at which these events occur (referred to as the "date of effect"). From these events, the number of contracts in training at a given time can be calculated. Due to time delays in reporting data on the status of contracts to NCVER, the most recent data are estimated. In short, the estimation methodology is based on the calculation of "average lag ratios". A lag ratio is the ratio of the actual number of events (commencements, completions, etc) which occurred in a particular quarter to the number of those events which were reported in a given quarter. The average lag ratio is calculated by taking the average of the lag ratios found in a "time window", which is a moving period of eight quarters from the past. Further details on this methodology are provided in the technical paper produced by NCVER, Estimation of apprentice and trainee statistics, which may be found on the NCVER Portal as a related item to this quarterly publication. The purpose of this technical paper is to document the adjustments that are made to the estimates at each collection, and produce a cumulative document of these adjustments, commencing at Collection 87, March 2016 estimates. [For "Australian Vocational Education and Training Statistics: Apprentices and Trainees 2016--September Quarter," see ED573503. To access "Apprentices and Trainees: Terms and Definitions. Support Document," see ED573505.]

The challenge of funding a high quality higher education system, ensuring it has the capacity to help meet the increasing demand for high level skills in our economy and the aspirations of our students, has been an ongoing concern for successive Australian governments over many years. This paper reviews the findings and recommendations of significant reviews of Australia's higher education funding system from the 1988 Dawkins white paper through to the 2014 "Review of the Demand Driven Funding System." It summarises the challenges identified and responses proposed across that period as well as some recent international literature about higher education reform. What is clear from the survey of major reviews from 1988 to the present is the similarity of issues that were of concern to governments of the day. Successive governments have sought to build and fund a higher education system to meet the need for high level skills and innovative research for the Australian economy. The challenge for all governments has been how to enable greater numbers of students to access the benefits higher education offers--in terms of employment, earnings, social and cultural opportunities--while ensuring the system remains fair, high quality and affordable for both individuals and taxpayers. The number of domestic higher education students has more than doubled since 1989, reaching just over a million in 2014. International students comprised another 350,000 students in 2014. As student numbers have grown, they have come from more diverse social, economic and academic backgrounds. The number of providers and their diversity has also grown, with around 20 new public universities since the late 1980s and the emergence of significant numbers of non-university providers. The proportion of the Australian working age population with a bachelor degree or higher qualification has tripled since 1989 to just over 25 per cent. Direct Australian Government funding for teaching, learning and research has grown both in absolute and real terms, rising from $3.2 billion in 1989 to $15.4 billion in 2014, more than doubling when adjusted for inflation. Australia is not unique in facing this growth and higher education systems around the world are increasingly moving from elite to mass systems, and beyond to universal systems.

Apprentice and trainee data are reported by the State and Territory Training Authorities to National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER publishes data on the numbers of contracts of training that commence, complete, cancel/withdraw, re-commence, expire or are suspended and the time at which these events occur (referred to as the "date of effect"). From these events, the number of contracts in training at a given time can be calculated. Due to time delays in reporting data on the status of contracts to NCVER, the most recent data are estimated. In short, the estimation methodology is based on the calculation of "average lag ratios". A lag ratio is the ratio of the actual number of events (commencements, completions, etc) which occurred in a particular quarter to the number of those events which were reported in a given quarter. The average lag ratio is calculated by taking the average of the lag ratios found in a "time window", which is a moving period of eight quarters from the past. Further details on this methodology are provided in the technical paper produced by NCVER, "Estimation of apprentice and trainee statistics," which may be found on the NCVER Portal as a related item to this quarterly publication. The purpose of this technical paper is to document the adjustments that are made to the estimates at each collection, and produce a cumulative document of these adjustments, commencing at Collection 80, June 2014 estimates. [For "Estimation of apprentice and trainee statistics," see ED510916.]

In recent years, there has been substantial interest in micro-credentials in post-secondary education. In November 2019, Australian skills ministers agreed to fast-track work exploring micro-credentials in the national vocational education and training (VET) system, with the aim of ensuring that the system responds more effectively to the needs of students and employers. Nevertheless, a surprising amount of other, shorter, non-qualification training occurs in the VET sector, officially known as enrolments in subjects not part of a nationally recognised program (course). This report refers to them as 'subject bundles'. This is construed in this paper as a student enrolling in a 'bundle' of subjects at a single registered training organisation (RTO), termed here 'RTO-student pairs'. This report contributes to the information already available on the largest segment of the VET sector, by analysing these subject bundles and their salient features. The author found that engagement in subject bundles was found to be typically short, with bundles of three subjects or fewer accounting for 89.5% of RTO-student pairs. Furthermore, engagement was focused on a small number of bundles (with 601 of around 50 000 bundles accounting for 90% of the RTO-student pairs) and with a relatively small number of RTOs (with 456 RTOs registering 90% of student activity). [For the technical support document, see ED612979.]

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.]

At the request of the Council of Australian Governments (COAG) Industry Skills Council (ISC), and the Skills Senior Officials Network (SSON), a National Training Product Reform Group, comprising representatives from all of the jurisdictions, considered the longer-term reform of training products. This exercise, conducted during 2016, aimed to ensure that training products remain relevant and support skills development, in the face of technology, jobs, and industry change. The role of the National Centre for Vocational Education Research (NCVER) was to convene a group of thought leaders to consider the challenges and opportunities for the reform of training products. NCVER commissioned three essays to inform discussion at a symposium, held on 9 August 2016. The essays are contained in the appendix and appear as follows: (1) Workforce Needs (Sara Caplan); (2) Student Needs (Kwong Lee Dow); and (3) The Public Benefit (David Beckett). The 60 or so symposium participants considered training product reform from the perspective of industry, educators, students, and regulators. Their views are captured in this summary, which was prepared to assist the reform group. The areas of agreement are presented in the key messages that follow. The points of difference about how to balance the various interests represented in the system were also raised. This task will require deft negotiation to avoid the introduction of further complexity into training products, given that all participants agreed that training product simplification must be an essential goal of reform. Key messages resulting from this symposium are detailed. In addition to the three discussion papers that are presented, a delegate list and the questions guiding group discussion can be found in the appendix.