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Taking a gap year--a break between high school and university--is becoming increasingly popular with Australian students. In terms of length and purpose, the traditional notion of a gap year being a year off between school and university has expanded considerably over time. For the purposes of the analysis reported in this paper, a person who takes a gap year is defined as "an individual who commenced university one to two years after completing Year 12. This includes those who accept and defer their university placement for one to two years" (Curtis, Mlotkowski & Lumsden 2012). Highlights of this report include: (1) In Australia the incidence of taking a gap year has increased from 10% in the period 1999-2000 to 24% in 2009-10; (2) The top four primary activities undertaken by gap students in 2009-10 were work (51%), full-time study leading to a non-university qualification (10%), other study (6%), and travel (6%); (3) Characteristics of gap-takers include: (a) being academically less inclined than non-gap-takers; (b) living in regional locations when at school; (c) having English speaking backgrounds; (d) being employed when in Year 12 at school; and (e) being less likely to receive Youth Allowance payments while at school; (4) In their first year of university, gap-takers are more likely to study in the areas of education and creative arts; and (5) Those who don't take a gap year are substantially more likely at age 24 to be employed full-time and to work in professional occupations than gap-takers. Much of this difference can be attributed to the fact that, in terms of their careers, gap-takers are a year or two behind those who don't take a gap year. The data do not allow the authors to measure the longer-term outcomes of both groups because the Longitudinal Surveys of Australian Youth (LSAY) stops at age 25. Appended are: (1) Gap year definitions; and (2) LSAY cohorts sample sizes and durations. (Contains 13 tables.) [For "Bridging the Gap: Who Takes a Gap Year and Why? Longitudinal Surveys of Australian Youth. Research Report," see ED533077.]

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.)

This combination report/guide summarizes practical "how-to" information on the development and operation of national training boards that was gathered in a series of case studies of the effectiveness of national training boards in Canada, Singapore, Sweden, and the United Kingdom and in studies of training boards in Australia, Brazil, Colombia, Germany, and South Africa. The introductory chapter describes the research on which the guide is based, discusses common themes affecting the quality of training in the countries studied, and examines the rationale for training programs. Chapter 2 summarizes the subsequent discussion of the effectiveness of national training boards in the form of a checklist and guidelines for use by countries considering establishing a national training board. Chapters 3-9 synthesize research findings into practical recommendations dealing with the following aspects of initiating and operating national training boards: enabling legislation, training board composition, training board structure, financial resources, delivery of training, institutional planning and operations, and testing and certification. Chapters 10 and 11, which are more analytical than the chapters preceding them, examine the perception and images of national training boards and lessons learned from the case studies. Contains 59 references. (MN)

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.

This paper presents the first results of a project initiated in 2004 by the OECD in collaboration with Eurostat and the UNESCO Institute for Statistics, and aimed at developing a regular and internationally comparable production system of indicators on the careers and mobility of doctorate holders. A first data collection was launched in September 2005, from which the results for seven countries are presented here. These data shed light on the main demographic, educational, labour market and mobility patterns of doctoral graduates. They also mark some progress in the understanding of both the measurement issues and patterns of international mobility, notably by the use of qualitative indicators such as the intentions or reasons for mobility. The results show in particular that the share of doctorate holders in the population or labour force is two or three times larger in Germany and Switzerland than in Australia, Canada and the United States. In these five countries, women represent only one-quarter to one-third of doctorate holders. The United States has an older population of doctorate holders than the other countries analysed in the paper and this population is still aging, as is also the case in Canada. Unemployment rates of doctorate holders remain low, but are relatively higher in natural sciences and in engineering. There are important salary differences between men and women and across sectors, especially in the United States. In the United States, as well as in Portugal and Argentina, salary is one of the main reasons why doctoral graduates are dissatisfied with their employment situation. There is a high share of foreign doctorate holders in Switzerland and also a higher share of foreign-born doctorate holders in Canada and Australia than in the United States. Many foreigners, however, come to work to the United States having been trained for research abroad and this trend has grown stronger in recent years. On the other hand, very few doctorate holders from the United States are internationally mobile. Among mobile young Canadian citizens, three-quarters choose the United States as their next destination. (Data tables are annexed. Contains 4 footnotes, 13 figures, 1 chart and 35 tables.)

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 paper looks at the state of education in knowledge management (KM). It reports findings from a study of knowledge management courses included in the curriculum of academic disciplines of business, computing, and information that was conducted at the Nanyang Technological University (Singapore). Based on a review of course descriptions selected from Web sites of universities in Australia, Canada, Singapore, the United Kingdom, and the United States, the paper describes levels of courses, curriculum areas and topics, and differences in emphasis in teaching KM courses in different departments and schools. A table presents data on the details of KM courses for each university, including the school/department, course title, level, and academic program. A second table lists topics in KM courses for several curriculum areas, including foundations, technology, process (codification), applications, and strategies. (MES)

This paper provides statistics on women and graduate management education for 2012. This paper contains two parts: (1) Women in the Business School Talent Pipeline; and (2) Women in Business. "Women in the Business School Talent Pipeline" discusses: (1) GMAT[R] Examinees; (2) B-School Demand from Younger Women; (3) MBA, Masters & Other Intended Degrees; and (4) Female Quants (Interest in Quantitative and Specialized Degrees). "Women in Business" discusses: (1) Jobs; (2) Value of Graduate Management Education; (3) Industry Preferences; (4) Study-Work-Life Balance; and (5) Geographic Focus and Regional Comments. (Contains 7 resources.)

The Program for International Student Assessment (PISA) is a system of international assessments that allows countries to compare outcomes of learning as students near the end of compulsory schooling. PISA core assessments measure the performance of 15-year-old students in mathematics, science, and reading literacy every 3 years. Coordinated by the Organization for Economic Cooperation and Development (OECD), PISA was first implemented in 2000 in 32 countries. It has since grown to 65 education systems in 2012. PISA's goal is to assess students' preparation for the challenges of life as young adults. PISA assesses the application of knowledge in mathematics, science, and reading literacy to problems within a real-life context (OECD 1999). Mathematics was the major subject area in 2012, as it was in 2003, since each subject is a major subject area once every three cycles. In 2012, mathematics, science, and reading literacy were assessed primarily through a paper-and-pencil assessment, and problem solving was administered via a computer-based assessment. In addition to these core assessments, education systems could participate in optional paper-based financial literacy and computer-based mathematics and reading assessments. The United States participated in these optional assessments. This report presents performance on PISA 2012 in mathematics, science, and reading literacy from a U.S. perspective. Results are presented for the 65 education systems, including the United States, that participated in PISA 2012 and for the three U.S. states--Connecticut, Florida, and Massachusetts--that participated as separate education systems. These three states opted to have separate samples of public-schools and students included in PISA in order to obtain state-level results. In this report, results are presented in terms of average scale scores and the percentage of 15-year-old students reaching selected proficiency levels, comparing the United States with other participating education systems. For proficiency levels, results are reported in terms of the percentage reaching level 5 or above and the percentage below level 2. Higher proficiency levels represent the knowledge, skills, and capabilities needed to perform tasks of greater complexity. At levels 5 and 6, students demonstrate higher level skills and may be referred to as "top performers" in the subject. Conversely, students performing below level 2 are below what the OECD calls "a baseline level of proficiency, at which students begin to demonstrate the literacy competencies that will enable them to participate effectively and productively in life" (OECD 2010, p. 154). This report also presents U.S. trends over time in mathematics, science, and reading literacy, and overall results for the computer-based mathematics and reading assessments. Results for the problem-solving and financial literacy assessments will be released in 2014. Appended are: (1) Methodology and Technical Notes; and (2) International and U.S. Data Collection Results. (Contains 9 tables, 3 figures, 9 footnotes, and 3 exhibits.) [This report was prepared for the National Center for Education Statistics under Contract No. ED-IES-10-C-0047 with Westat.]

Taking a break between completing high school and entering university is common overseas, and is becoming more popular in Australia. There are many reasons why young people take a gap year. It may be to travel, to take a break, to study, or to work. The authors' definition of a "gapper" is a young person who commenced university one to two years after completing Year 12. While the concept of a gap year is related to the deferral of a university offer, it is different. Some gappers have deferred, others decide to enrol during their gap year, not beforehand. Similarly, some who defer a university offer subsequently do not take up a place and are thus not defined as gappers. This report was prepared for the Department of Education, Employment and Workplace Relations in 2009 prior to the Australian Government's announcement of proposed changes to Youth Allowance as an initiative in the 2009-10 Budget and the subsequent reforms based on recommendations from the "Review of Student Income Support Reforms" (Dow 2011). The research uses data from three cohorts of the Longitudinal Surveys of Australian Youth (LSAY) to throw light on the incidence of gap-taking, the characteristics of those taking a gap year, the activities undertaken in the gap years, and subsequent study and employment outcomes. The report also looks at whether there is any evidence that young people were taking a gap year in order to qualify for Youth Allowance payments. This report reveals that: (1) The incidence of gap-taking has increased and it is estimated that around 20% of Australian students who complete high school will take a gap year; (2) Gap-takers tend to be weaker academically, with lower-than-average tertiary entrance rank (TER) scores, lower than average Year 9 mathematics achievement, and less favourable attitudes to school. In addition to academic factors, young people from English speaking backgrounds and from regional locations are more likely to take a gap year. Students who do not receive Youth Allowance payments while at school (and thus who were from higher socioeconomic status families) are also more likely to take a gap year; (3) The most common activities of Australian gap students are work (40%) and study or training (33%), with only 3% reporting travel as their main activity; (4) It appears that relatively few took a gap year principally to qualify for Youth Allowance: four out of 69 who deferred a university place gave "needing to qualify for Youth Allowance" as a reason for their deferral; and (5) The university completion rates of "gappers" are a little lower than "non-gappers". Appended are: (1) Variables and methods; and (2) Supplementary tables. (Contains 25 tables and 15 footnotes.) [For "Who Takes a Gap Year and Why? Longitudinal Surveys of Australian Youth. Briefing Paper 28," see ED533076.]

This 22-country survey was conducted between 1994 and 1998. Representative samples of adults aged 16-65 were interviewed and tested at home using the same literacy tests. The main purpose of the survey was to find out how well adults use information to function in society. Another aim was to investigate the factors that influence literacy proficiency and to compare these between countries. Ten international indicators are presented that allow readers to compare the literary proficiency of Americans with that of other populations as measured on the prose literary scale; similar results are provided in quantitative scales. The findings confirm how low literacy is an important issue in all regions in all countries surveyed. On the whole, the findings show that Americans are at an average level of prose literacy performance, behind the Nordic countries and the Netherlands but on a par with adults in Australia, Canada, and Germany. Literacy proficiency is more unequally distributed in the United States and Canada than in Europe, with the most literate 25% of North Americans scoring far higher than average. "Life-long" learning programs, as well as early childhood education, more access to adult education and to information and communication technologies, and the promotion of literacy-rich environments at work, home, and in the community are proposed as solutions to improve adult literacy. The paper is divided into 3 chapters, 4 annexes, and 10 data-rich figures. (Adjunct ERIC Clearinghouse for ESL Literacy Education) (KFT)

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.

Whether in flight from conflict, with the hope of building a better life, or to seize a social or economic opportunity, people have been crossing borders for as long as there have been borders to cross. Modern means of transportation and communication, the globalisation of the labour market, and the ageing of populations in OECD (Organisation for Economic Cooperation and Development) countries will drive migration well into the next decades. The key to maintaining social cohesion during these population movements is to integrate immigrants and their families well into their adopted countries; and education can be a powerful lever to achieve this. Based on information gathered from questionnaires distributed with the PISA (Programme for International Student Assessment) 2009 assessment, the percentage of 15-year-old students with an immigrant background grew by two percentage points, on average, between 2000 and 2009 among OECD countries with comparable data. This paper reports that: (1) On average among OECD countries, the percentage of students with an immigrant background grew by two percentage points between 2000 and 2009; (2) Immigrant students represent more than 5% of the student population in 13 OECD and partner countries and economies that participated in PISA 2009; and (3) In most countries, immigrant students lag behind native students in performance; in many countries, the difference is considerable. However, Australia, Belgium, Canada, Germany, New Zealand and Switzerland have been able to narrow, and in some cases close, this performance gap.

This document reviews how performance indicators are currently being used in several Commonwealth countries the United Kingdom, Australia, and Canada, and identifies some of the issues associated with performance indicator development and application. It also examines whether there are any agreed upon "key", or common, indicators that can be applied universally. After briefly discussing the background of the study and defining the terminology of, the audiences for, and applications of performance indicators, the paper reviews sources of higher education data published by government, government agencies, or national university organizations, and discusses developments in the application of performance indicators. Case studies from the U.K., Australia, and Canada are used to examine five types of indicators: student indicators, such as population, progression/completion rates, destination and satiation; staff indicators; resource and financial indicators; research indicators; and estate management/physical resources indicators. The characteristics of "good" indicators and various concerns surrounding the use of indicators are also addressed. Findings suggest that performance indicators need to be related to institution objectives, should be used with other measures, and cannot presently be used to compare institutions in different countries. Appendices include lists of sources, publications, and contacts; a comprehensive list of possible indicators, and core indicators recommended by the Council of Ontario Universities. (BF)

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)