MOVIBES

by Herman van de Werfhorst, Andrea Forster, Thijs Bol*

A few years ago, Eric Hanushek gave a keynote lecture at a conference at the Amsterdam Centre for Inequality Studies. The talk was entitled "Is more vocational education the answer?" and spoke to debates in the United States about whether or not to strengthen the vocational education and training sector. The U.S. education system is much more “general”  in nature than the German and Dutch education systems, which are more vocationally oriented. Is it sensible for the United States to adopt a German-style education system with a strong dual (work- and school-based) sector?

Vocational education and training can mean very different things to different people. In some countries, it refers to education and training provided by and in schools, with no or limited exposure to real work situations. In other countries, it designates systems where much of the training is provided in a work place by the employer. The latter is often called “dual system” or apprenticeship.

Hanushek's lecture warned against an overly optimistic interpretation of the vocational training sector. While strong vocational education and training systems may do well in integrating school leavers into the workforce (as has been documented before), vocational education is harmful in the later phases of work careers. More vocational education is definitely not the answer, according to Hanushek, Schwerdt, Woessmann and Zhang: Vocationally qualified workers are the first to be laid off after the age of 50 because their specific skills are likely to be outdated.

Looking at the impact of vocational education across a lifetime is fascinating, illuminating and highly relevant for policy debates on how to organise an education system. A true trade-off emerges between the short-term (early career) gains and the long-term (late career) losses, and tradeoffs like these
should be evident to policy makers when they think about changing the education system.

Micro-level and macro-level questions
We felt that it was premature to write off the vocational education and training system just yet. From Hanushek et al.'s paper, it wasn't clear whether the problem is a micro-level issue of workers educated in vocational schools relative to those educated in more general programmes, or a macro-level issue concerning the education system. It may be true that people with vocational qualifications are less likely to be employed later in their career, but maybe that pattern is unrelated to the way that vocational education is organised in a country. In fact, while the question "is more vocational education the answer?" is a system-level question, it was answered in a micro-level fashion by Hanushek and associates.

So we tested whether the lifetime employment profiles of adults with vocational versus general forms of education vary by the size of the dual system, using data on 22 countries from the Survey of Adult Skills (PIAAC). The warning of Hanushek to the proponents of a German-style vocational training system should imply that the late-career disadvantage of vocational degrees would be more pronounced in countries with a large dual system. However, we did not find evidence of that.

Two graphs from our paper tell most of the story. The figure below shows the age-employment profiles for people with vocational and general types of education. In line with Hanushek et al.'s micro-level hypothesis, we see higher probabilities of being employed for vocationally qualified workers at the start of their career, but lower probabilities late in their career, among both men and women. This is controlled for level of education, numeracy proficiency and parents’ education.  

                


Dual systems and workers
But is this pattern particularly strong in vocationally oriented systems? The figure below shows the effect of vocational education across a lifetime (relative to general education, again controlled for education level, numeracy proficiency and parents’ education), in two types of systems: systems with a strong dual sector and with a weak or no dual sector. It is clear that the early-career benefit of being educated in a vocational programme is strongest in countries with a large dual sector (Germany, Austria), while the advantage turns into a (slight) disadvantage later in the career (but mostly in countries with a weak vocational training sector). However, we do not see that the blue and red lines cross somewhere mid-career, which would be expected based on the thinking that German-style systems, in particular, result in later-career disadvantage for vocationally trained workers. In fact, strong dual systems are characterised by less disadvantage late in the careers of vocationally qualified workers; and the negative effect at the end of the career is not statistically significant (while it is negative and significant in societies that do not have dual systems, like the United States and Canada).


Based on these findings, we conclude that the pattern of late-career disadvantage is not typical for strong vocational systems; quite the contrary. In all countries, people with vocational degrees are more likely to lose their job late in their career, possibly because of a lack of adequate skills. But if anything, strong dual systems offer a safeguard for those with vocational qualifications. Such systems do not adversely affect employment either at the start or at the end of a career.

Links:
Forster, Andrea G., Thijs Bol, and Herman G. Van de Werfhorst. 2016. “Vocational Education and Employment over the Life Cycle.” Sociological Science 3:473–94.
Hanushek, Eric A., Guido Schwerdt, Ludger Woessmann, and Lei Zhang. 2016. “General Education, Vocational Education, and Labor-Market Outcomes over the Life-Cycle.” Journal of Human Resources, 10.3368/jhr.52.1.0415-7074R
Survey of Adult Skills (PIAAC)  

*Herman van de Werfhorst, Andrea Forster and Thijs Bol are affiliated to the University of Amsterdam and the Amsterdam Centre for Inequality Studies. Contact: H.G.vandeWerfhorst@uva.nl

Source figures: PIAAC 2012, release March 2015, calculations Forster, Andrea G., Thijs Bol, and Herman G. Van de Werfhorst.

Vocational education and training, depending on its design, can lead to very different outcomes. As argued above, systems with strong apprenticeship or dual systems are associated with better employment prospects than those relying heavily on school-based vocational education and training. The OECD forthcoming study, Striking the Right Balance: Costs and Benefits of Apprenticeships, provides further insights into this topic. Drawing on data from the Survey of Adult Skills, it compares outcomes from apprenticeships with outcomes from alternative education and training options. It also discusses different components of the apprenticeship system and conditions under which apprenticeships yield considerable benefits to employers and students.

by Tracey Burns
Project Leader, Directorate for Education and Skills, OECD


"Smart drugs" allegedly improve memory and concentration. In addition to Ritalin other drugs are also taken to aid learning, such as modafinil, normally used to treat sleep disorders. University students can rely on them to pull all-nighters during exam weeks. The belief (true or not) that these drugs might boost academic performance has grown along with their availability – both through a marked increase in the number of prescriptions and  through more prevalent online markets where prescriptions are not as carefully scrutinised.

This raises a series of ethical and practical questions for education. Do smart drugs provide some students with an unfair advantage? Should tertiary institutions take a stand on the illegal use of cognitive performance-enhancing drugs? And what about younger users? Reports of teenagers and even pre-teens abusing smart drugs have raised concern about the lack of research on the impacts of these drugs on developing brains.

These questions highlight some of the more challenging aspects of the technological advances sweeping our classrooms and societies. Trends Shaping Education 2016 looks at how technology is transforming our lives – and asks whether education will be able to keep up.

When we think of technology and education, we usually think of information and communication technologies (ICTs). And indeed, ICTs have changed the way we live. Increasingly mobile technologies allow us to buy our groceries, pay our bills, watch films and attend meetings without ever leaving our homes. In fact, we increasingly do many of these things at once: Internet users perform seven activities at any one time on average, up from five just a few years previous and giving rise to worries of decreasing attention spans among today's youth.

However, technological advances are not exclusive to the Internet. Although it might seem like science fiction, biotechnology is used in medicine to combat disease, in agriculture to produce higher yields and more resistant crops and in the environment to develop cleaner energy. One example of how biotechnology is more integrated in our lives comes from genome sequencing, or the process of revealing the genetic make-up of cells. Once extremely expensive, technological advances have reduced the price exponentially in just a few years. Individuals can now afford to map their genes and identify whether they carry potentially life threatening mutations. Earlier this year scientists from the United Kingdom were given permission to edit the genes of human embryos for research purposes. Will designer babies (and designer students) be part of the future?

The impact of technological trends on education is clear. A great deal of work has already been done to identify how and where education can better use technology in the classroom. And there is interesting new research on emerging opportunities for education and work that could develop from human enhancement and biotechnologies.

In contrast to many trends that are relatively gradual and often linear, the pace of technological development is exponential and its impact much less predictable. One of the most difficult issues will be staying abreast of the evolution of technology and human behaviour: the use of smart drugs is one example. Another is the delicate terrain of human emotion and large online audiences, which has given rise to new risks such as cyber bullying and revenge porn.

In education, schools and teachers are increasingly asked to guide students through the advantages and disadvantages of the virtual world without always having the necessary skills themselves. Difficult questions will evolve as quickly as the technology. For example, how does "textbook learning" interact with the easy answers available at the simple push of a button? Whose voice counts if there is competing information? And what should we do, if anything, about smart drugs and other biotech advances?

The key is adaptability. Worries about decreasing attention spans, digital withdrawal disorder and “fear of missing out” syndrome illustrate the shifting landscape of the future. Advances in biotechnology and smart drugs will continue to raise difficult technical and ethical questions as well as provide new opportunities. All of these issues need to be part of a long-term strategy to help education keep pace with modern society. When Aldous Huxley wrote A Brave New World in 1931 he was worried about the fast paced world of the future. That time has now come, and it is up to us – and our education systems - to make the most of it.

Links:
Trends Shaping Education 2016
Students, Computers and Learning: Making the Connection
Trends Shaping Education 2014 Spotlight 5, Infinite Connections: Education and new technologies
Measuring the Digital Economy: A New Perspective
Centre for Educational Research and Innovation (CERI)
Photo credit: Scientist examining samples with plants @Shutterstock

by Marilyn Achiron
Editor, Directorate for Education and Skills


But as with any tool, the Internet is most useful when you know how to use it. Results from PISA 2012 show that just because students have access to an Internet connection, it doesn’t mean that they know how to use it for learning. And differences in how students use the Internet seem to be linked to socio-economic status, although the strength of that link varies widely across countries. For example, PISA finds that while disadvantaged students play videogames on line as much as advantaged students do, they are far less likely to read the news or search for practical information on the Internet than their more advantaged peers.

These differences also seem to mirror disparities in more traditional academic abilities – to the extent that once differences in the ability to read and understand printed texts are taken into account, students’ socio-economic status has only a weak, and often insignificant, relationship with students’ performance in the PISA test of reading on line. In other words, rich or poor, students who can read well are better-equipped to make the most of the Internet’s considerable assets.

So the best way to narrow this digital divide is to be sure that all students are given the same opportunities to acquire solid reading and Internet navigation skills – the equivalent of a user’s manual (and a driving permit) for what has become an indispensable tool.

by Dirk Van Damme
Head of the Innovation and Measuring Progress Division, Directorate for Education and Skills




The international statistical system, one of the great achievements of international organisations, has mirrored the evolution of the nation-state. International statistics – and those related to education are no exception – were tuned towards comparing and benchmarking countries against each other. National averages thus became the dominant data. Most of the data points in Education at a Glance, for example, are national averages. However, the expansion and increased sophistication of data collection and data processing have allowed for the development of many more measures than just national averages. Indeed, averages without more detailed measures of how indicators are distributed across various subpopulations offer little added value when it comes to understanding the real world.
Through its “New Approaches to Economic Challenges” initiative, the OECD is working to highlight distributional measures in its statistical apparatus. In Education at a Glance, for example, our analyses increasingly focus on the distribution of education indicators by gender, age, socio-economic status and immigrant background around the national average.

So far, little effort has gone into exploring regional variations within countries. Technical shortfalls, such as the lack of regional data in existing data collections, but also political sensitivities, have hindered the analysis of regional variations. After a few years of hard work, a pilot project under the auspices of the INES Working Party has gathered a range of interesting regional data on some key education indicators. The most recent edition of Education Indicators in Focus (EDIF) explores subnational variations in educational attainment and labour market outcomes.

The chart above shows clearly the relevance of subnational variations. For one of the key measures of a country’s human capital, the tertiary attainment rate in the adult population, the subnational variation in some countries is almost as wide as between-country variations. This is true, obviously, for large countries, such as Canada, the Russian Federation and the United States, but also for Germany, Spain and Sweden. Smaller countries, such as Belgium, Ireland and Slovenia, show less variation, but differences are still significant.

In all countries, the capital region, which attracts a large share of the nation’s human capital for the government and the industries and services concentrated around it, has a larger population of tertiary-educated adults than most other regions. This observation in itself is relevant for education policy: the civil servants and advisors designing those policies often live in environments that bear no resemblance to other parts of the country.

A better understanding of the magnitude of subnational variations in education indicators prompts a range of policy-relevant questions. Huge disparities in human capital between regions call into question the validity of uniform nation-wide education and skills strategies. Regional variation calls for policies that are adapted to the regions’ specific contexts and realities. But nation-states might also have an interest in promoting educational inclusion in the country by taking the steps necessary to help regions at the bottom of the distribution move closer to the average. Significant regional variation might also signal the need for continuing involvement of the central state to ensure that regions have similar capacity and resources to support skills development.

From a statistical point of view, exploring subnational variations raises doubts about the meaningfulness of national averages in international statistics. It is necessary to understand what the country average is and the magnitude of the regional variation around it. After all, an average is just an average, a statistical construct, not a reality.

by Andreas Schleicher
Director, OECD Directorate for Education and Skills



Schools nowadays are required to learn faster than ever before in order to deal effectively with the growing pressures of a rapidly changing environment. Many schools however, look much the same today as they did a generation ago, and too many teachers are not developing the pedagogies and practices required to meet the diverse needs of 21st-century learners.

In response, a growing body of scholars, educators and policy makers around the world is making the case that schools should be re-conceptualised as “learning organisations” that can react more quickly to changing external environments, embrace innovations in internal organisation, and ultimately improve student outcomes. Despite strong support for and the intuitive appeal of the school as a learning organisation, relatively little progress has been made in advancing the concept, either in research or practice. This lack of progress partly stems from a lack of clarity or common understanding of the school as learning organisation.

The OECD-UNICEF Education Working Paper, “What makes a school a learning organisation?” should be seen as a first step towards building a shared understanding of the concept that is solidly founded in the literature and is recognisable to all parties involved, i.e. scholars, educators, policy makers, students and parents.

Based on an in-depth analysis of the literature and informed by a small network of experts, the paper identifies and operationalises an integrated model that consists  of seven over-arching ‘action-oriented' dimensions which show how to transform schools into learning organisations:

1. Developing and sharing a vision centred on the learning of all students.
2. Creating and supporting continuous learning opportunities for all staff.
3. Promoting team learning and collaboration among all staff.
4. Establishing a culture of inquiry, innovation and exploration.
5. Embedding systems for collecting and exchanging knowledge and learning.
6. Learning with and from the external environment and larger learning system.
7. Modelling and growing learning leadership.

In short, a school as learning organisation has the capacity to change and adapt routinely to new environments and circumstances as its members, individually and together, learn their way to realising their vision.

A set of themes flows through all seven dimensions: the four Ts: trust, time, technology and thinking together. Although some of these themes may seem more pertinent to one action than to another, all four have an impact on the whole. For example, trust underpins the kind of relationships needed internally and externally for learning organisations to thrive; and all aspects of school development require the provision of time.

The OECD Directorate for Education and Skills aims to help countries transform its schools into learning organisations by gathering evidence from a wide range of countries on how to develop schools into learning organisations. The school as learning organisation model’s dimensions and its underlying characteristics, referred to as “elements”, form the starting point for the development of an instrument to (self-) assess the school as learning organisation. The SLO model and assessment instrument under development are intended to provide practical guidance to policy makers, school staff and other stakeholders that wish to develop theirs schools into learning organisations.

As also noted in the Guide for policy makers, school leaders and teachers further guidance and support will be provided to schools and local and system-level stakeholders for catalysing the desired change and innovation, and developing professional learning cultures across their school systems. Through this work the OECD intends to further explore the policies and capacities needed at other levels of the education system to help schools blossom and thrive as learning organisations – and ultimately equip students with the knowledge and skills they’ll need to succeed in an uncertain, constantly changing tomorrow.

Links:
Kools, M and L. Stoll (2016), “What makes a school a learning organisation?”, OECD Education Working Paper, No 137, OECD Publishing, Paris.
What makes a school a learning organisation? Guide for policy makers, school leaders and teachers
UNICEF
Figure source © OECD

by Andreas Schleicher
Director, Directorate for Education and Skills

It’s the time of year when young people in the northern hemisphere are finishing their formal studies for the year – or for the foreseeable future. Some will soon be working at their first jobs, some are just beginning to look for a job, some may have been looking for months with nothing to show for it. What links the classroom and lecture hall to the workplace? Skills.


Three years ago, the OECD published the First Results from the Survey of Adult Skills, a product of our Programme for the International Assessment of Adult Competencies, or PIAAC. That report found that adults who are highly proficient in the information-processing skills measured by the survey – literacy, numeracy and problem solving in technology-rich environments – are more likely to be employed and earn high wages. They are also more likely to report that they trust others, that they have an impact on the political processes, and that they are in good health.

Since those first results were published, nine more countries and economies have joined the survey. While the results from these countries/economies, published today in Skills Matter: Further Results from the Survey of Adult Skills, broadly confirm those from the countries/economies that participated in Round 1 of the survey, some messages have emerged more clearly.

For example, in Singapore, one of the nine countries/economies that participated in the second round of the survey, young people perform much better than older adults in all three domains assessed. While younger adults outperform their older compatriots in many of the countries/economies surveyed, in no other country is the difference between the proportion of 25-34 year-olds with tertiary education and the proportion of 55-65 year-olds who have attained that level of education as large (53 percentage points) as it is in Singapore. Only 2.4% of Singapore’s 55-65 year-olds demonstrate strong literacy skills, while young Singaporeans now benefit from one of the world’s most advanced education systems. This shows that even as Singapore expanded access to education over the past few decades, the country was able to maintain the quality of the education provided – adding further strength to the argument that expansion of education does not have to come at the expense of the quality of education.

Jakarta (Indonesia) is also among the nine Round 2 countries/economies. Although adults in Jakarta score lower in literacy and numeracy, on average, than adults in any other participating country/economy (more than one in two adults in Jakarta score at or below Level 1 in literacy), their participation in the survey confirms that valuable data on education and skills can be gathered in less economically developed countries. For example, several participating countries and economies, including Jakarta, have large populations of adults who perform poorly in literacy; but none of these populations can be said to be illiterate. How do we know that? The survey includes a special assessment for these adults to pinpoint where their difficulties in literacy lie. Most of these adults recognise words, but have trouble determining whether a sentence makes sense logically in a real-world context.

In both rounds, there is a relatively strong link between performance in the survey and in the OECD Programme for International Student Assessment (PISA) for the age cohorts covered by both surveys. The performance of a particular age group in PISA is a reasonably good predictor of that group’s performance some years later in the Survey of Adult Skills. The message is loud and clear: if countries want a highly skilled work force, they have to get compulsory education right. This is not to say that acquiring and developing literacy, numeracy and problem-solving skills stops once people leave school. In fact, the evidence shows that proficiency continues to improve over time, and that developing and maintaining – or losing – skills over a lifetime is affected by such factors as participation in work and training, which, in turn, can be influenced by policy. But school is one of the key places in which these skills are acquired, and the failings of schooling can be costly and difficult to rectify.

Links:
Skills Matter: Further Results from the Survey of Adult Skills
The Survey of Adult Skills: Reader's Companion
OECD Skills Outlook 2013: First Results from the Survey of Adult Skills
For OECD work on skills: www.oecd.org/skills
Follow: #OECDSkills

by Francesca Gottschalk
Consultant, Directorate for Education and Skills, OECD



It is, therefore, no surprise that student performance in maths is not only a key indicator for potential academic achievement, but also of future employability and overall participation in our “knowledge economy” society. Without the ability to make sense of the numbers that surround us, one would be completely lost in our modern world (even with a smartphone in hand!).

The question of how we actually learn maths and whether everyone has the ability to do so is thus a crucial one and should be of interest to parents, teachers and policy-makers alike. A new Education Working Paper entitled “The Neuroscience of Mathematical Cognition and Learning” explores the development of numerical cognition and explains that numeracy is actually an innate skill, inherent in humans from birth and further enhanced through formal education. Research indicates that babies as young as one day old are able to judge whether different quantities of objects are equal or not, and by the age of six months, infants often have the ability to discriminate up to three or four objects. It is then through schooling that children learn basic numerical principles –  for example addition and subtraction tables – and the more their ability to process these becomes automatic, the more they are able to devote brain resources (such as attention and working memory) to more complex numerical tasks.

Another way in which we can see the development of innate numeracy skills is through language, as language and maths learning go hand in hand. In literate cultures, number symbols and counting are integral for learning more complicated maths functions that go beyond approximation and simple counting. Illiterate cultures have also developed various trading and counting systems, allowing them to quantify objects and carry out basic maths operations. French researcher Pierre Pica, who spent time examining Amazonian groups, reported that although these groups are illiterate and cannot count, they still exhibit basic trading and approximation systems (illustrated through their daily transactions). This suggests the universality of basic maths systems in the human brain and the importance of the development in tandem of advanced maths and literacy skills. In order to effectively perform arithmetic operations and subsequently learn more complex functions, we need to have culturally transmissible and understood number symbols, which presuppose literacy within a population.

If our numerical abilities are innate, and literacy rates across OECD countries are relatively high, why then are there so many people who struggle with maths? The answer lies in the complexity of learning more advanced maths, which involves many regions of the brain. While it may seem that learning addition and subtraction tables should be a breeze for many students, when we start looking at the complicated processes involved in these different systems, we can understand that disruptions in these pathways can have huge impacts on learning abilities. We can see these effects, for example, in students with developmental dyscalculia (DD) or maths anxiety. In DD, it is thought that there is a deficient level of connectivity between various brain regions, whereas maths anxiety involves a number of cognitive processes such as emotion regulation and attitudinal factors that can hinder maths performance and learning. For example, results to questions about anxiety towards mathematics in the 2012 cycle of the Programme for International Student Assessment (PISA) showed that students in low-performing countries tended to report higher levels of anxiety towards maths in comparison to countries scoring above the OECD average.

What does this mean for the teaching of maths in schools? This paper highlights the fact that there are neither “good” nor “bad” math learners. While there is the potential for students to suffer from various missteps in the maths path, the innate ability for humans to understand numbers and gain numerical skills shows promise even for those students who struggle to grasp basic mathematical concepts, and this is encouraging. For example, the new PISA report, “Equations and Inequalities: Making Mathematics Accessible to All”, illustrates how the use of innovative teaching methods can foster students’ motivation to overcome barriers in maths learning. If teachers and policy-makers better understand how maths learning occurs in the brain, we can start to uncover and implement new strategies to assist students in need, helping them keep their maths path as clear as possible.

Links:
Working paper No. 136: The Neuroscience of Mathematical Cognition and Learning, by Chung Yen Looi, Jacqueline Thompson, Beatrix Krause, and Roi Cohen Kadosh
Understanding the Brain: The Birth of a Learning Science
Equations and Inequalities: Making Mathematics Accessible to All
Photo credit: Book shelf in form of head on formulas backgrounds @Shutterstock

by Anthony Mann
Director of Policy and Research, Education and Employers Taskforce

Employer engagement in education and training has become a hot topic for policy makers and practitioners around the world. Over recent years, Governments and other stakeholders have invested significant resource in promoting and enabling closer links between employers and schools, colleges, universities and training providers.

Policy objectives have included:

• Tackling skills shortage/skills mismatch
• Improving youth skills relevant to dynamic labour market demand
• Harnessing community resources to improve attainment
• Putting coherent pathways in place for young people moving through educational and training provision
• Addressing inequalities in outcomes, promoting social mobility and challenging gender stereotyping.

The OECD has looked at the question of employer engagement from the perspectives of skills provision Learning for Jobs, gender inequality The ABC of Gender Equality in Education and currently with specific emphasis on careers provision and school-to-work transitions within projects such as Skills Beyond School and Work-based Learning in Vocational Education and Training. The EU has funded work connecting schools with STEM industries as part of a strategy to tackle skills shortages Ingenious  and CEDEFOP and the Inter-American Development Bank have explored the relationship in terms of skills mismatch and youth demand for vocational training. The World Bank has looked at connections between classrooms and workplaces in terms of enterprise education, exploring ways to encourage and enable entrepreneurialism particularly in developing countries. UNESCO and the International Labor Organisation have focused particularly on the theme from the perspective of youth employment.

In England, the Department for Education has looked to secondary schools to integrate employer engagement within careers provision; and, in response to the Wolf report, embedded employer links as a core element of 16-19 provision in schools and colleges, particularly to enrich vocational delivery and enhance pupil preparation for employment. Similar steps have been made in Scotland’s Youth Employment Strategy and the actions of the governments in Wales and Northern Ireland. Employers are seen as central to the future of apprenticeship programmes for young people and adults alike.

In sponsoring University Technical Colleges and Studio Schools in England, the Department for Education has supported new institutional models designed to enable profound employer engagement across the curriculum. Around the world, employer engagement has become a mainstream element of educational and training provision – with significant practice in Australia, Germany, the Netherlands, New Zealand, Qatar, Saudi Arabia, South Korea, Switzerland and the United States.

Two upcoming events will offer a timely opportunity for closing the gap between education and employment:

On 29 and 30 June the Skills Summit in Bergen Norway, will convene ministers with responsibility for a range of skills-relevant portfolios, including education, employment, economic development, regional policy and government co-ordination. Drawing on this wide range of perspectives, The Skills Summit 2016 will provide Ministers with an opportunity to discuss the benefits and challenges of building effective whole-of-government and whole-of-society skills strategies, while at the same time providing a forum to exchange views on how best to maximize countries' skills potential to boost productivity, innovation and social inclusion.

Next month sees an unprecedented coming together of researchers, policy makers and practitioners at the international Conference on Employer Engagement in Education and Training held in London on 21 and 22 July, with the participation of OECD Director for Education and Skills, Andreas Schleicher, and Senior Policy Analyst Simon Field. This conference aims to take stock of the best quality research exploring the impact and delivery of employer engagement in education and training in order to understand the implications for effective, efficient and equitable policy and practice.

Links:
The Skills Summit, Bergen, Norway 2016
London Conference on Employer Engagement in Education and Training
Skills Matter: Further Results from the Survey of Adult Skills
OECD Reviews of Vocational Education and Training: Learning for Jobs
The ABC of Gender Equality in Education: Aptitude, Behaviour, Confidence
Photo credit: Job as target in the careers road @Shutterstock

by Chiara Monticone
Analyst, Directorate for Education and Skills
Mario Piacentini
Analyst, Directorate for Education and Skills



Films about mathematicians have become incredibly popular: many of us now know about John Nash’s beautiful mind. Fewer people have heard the extraordinary story of Srinivasa Ramanujan, a genius of comparable stature to Nash. Ramanujan was nothing more than a promising 16-year-old student from a poor family in South India when he came across A Synopsis of Elementary Results in Pure and Applied Mathematics, a compilation of thousands of mathematical results used by English students. Starting from the textbook, Ramanujan taught himself mathematics. After failing to get into university in India, he sent a letter to one of the great scholars of that time, Godfrey Harold Hardy, who noticed his talent and invited him to Cambridge.  Hardy quickly understood that, in spite of his amazing feats in mathematics, Ramanujan lacked the basic tools of the trade of a mathematician. If he was to fulfil his potential, he had to acquire a solid foundation in mathematics. The Cambridge mathematician worked tirelessly with the Indian genius to harness his creativity to the then-current understanding of the field without destroying his confidence. One good textbook and one outstanding teacher changed the fate of a man and the evolution of number theory and analysis.

There are poor students like Ramanujan who show that achieving great results in their education and professional life is possible. But “possible” is not sufficient: education and social policy should make poor students’ success “probable”. This month’s PISA in Focus and a new OECD report, Equations and Inequalities: Making Mathematics Accessible to All show that millions of students around the world – especially those from socio-economically disadvantaged backgrounds – often have few opportunities to develop their mathematics skills.

Many students who participated in PISA 2012 reported that they have hardly been exposed to fundamental concepts in mathematics, like arithmetic means or linear equations, which form the basis of the numeracy skills that they will need to thrive as adults. Disadvantaged students are even less exposed to these concepts. For example, the share of advantaged students who reported that they know well or have often heard the concept of quadratic function is 20 percentage points larger, on average across OECD countries, than the share of disadvantaged students who reported so; and the difference between these two groups of students is larger than 30 percentage points in Australia, Austria, Belgium, France, New Zealand, Portugal, the Slovak Republic, the United Kingdom and Uruguay. The relationship between the content covered during mathematics class and the socio-economic profile of students and schools is stronger in countries that track students early into different study programmes, that have larger percentages of students in selective schools, and that transfer less-able students to other schools.

Exposure to formal mathematics tasks and concepts (involving equations or functions, for example) has an impact on performance, particularly on the most challenging PISA tasks; and differences in familiarity with mathematics are strongly related to the performance gap between advantaged and disadvantaged students.  On average across OECD countries, differences in familiarity with mathematics account for about 19% of the performance difference between these two groups of students. In Austria, Belgium, Brazil, Germany, Hungary, Korea, Portugal, Switzerland, Thailand and the United States, more than 25% of the performance difference between advantaged and disadvantaged students is related to familiarity with mathematics. The report shows that exposure to applied mathematics tasks (like working out from a train timetable how long it would take to get from one place to another) has a weaker association with performance in PISA, but can stimulate engagement with mathematics and boost self-confidence, particularly among low-achieving students.
 
Widening students’ opportunities to learn mathematics is not an impossible task, but it may require certain readjustments, from reforming the structure of the education system to improving curriculum focus and coherence, and sharing teaching practices that use time more effectively. For example, Finland, Germany, Poland and Sweden have reformed their school tracking systems to reduce the impact of socio-economic status on students’ access to mathematics and achievement. At the school level, some charter schools in the United States have shown that longer instruction time, individualised support to students, strict behaviour norms, a strong work ethic among students and high expectations for all students can improve the achievement of students in low-performing, disadvantaged schools. Teachers need to be supported in using pedagogies, such as flexible grouping of students or co-operative learning, that increase learning opportunities for all students in mixed-ability classes.

In the end, disadvantaged students’ success in mathematics should become a common tale, not a hyped, romantic screenplay for a Hollywood blockbuster.

Links:
Equations and Inequalities: Making Mathematics Accessible to All
PISA in Focus No. 63: Are disadvantaged students given equal opportunities to learn mathematics? Chiara Monticone and Mario Piacentini
PISA à la Loupe No. 63: Les élèves défavorisés bénéficient-ils des mêmes possibilités d’apprentissage en mathématiques? (French version)
Getting beneath the Veil of Effective Schools: Evidence from New York City
Equity and Quality in Education: Supporting Disadvantaged Students and Schools

by Dirk Van Damme
Head of the Innovation and Measuring Division, Directorate for Education and Skills

More than hundred years ago, nations that are now members of the OECD introduced legislation to set the age compulsory education. Most countries obliged families to send their children to school from the age of 6 or 7. The gradual abolition of child labour and the need for a workforce with elementary skills – two consequences of the ‘second industrial revolution’ – convinced countries to impose compulsory education. Since then, education policy has focused on ensuring that all students are provided access to – and participate in – compulsory schooling. Many countries have also gradually increased the upper age limit of compulsory education. But for younger kids – under the age of 6 – families were seen as the most optimal environment for children’s care and upbringing.

But as more women entered the labour force and two-income families became the norm, the context in which children grew up changed dramatically. Working parents had to find a way to keep their children safe during their absence. But next to guaranteeing safety and physical care daytime crèches and child minders were not supposed to exert any pedagogical interference. Even when the realities of family life were changing, families – and mothers in particular – could keep up the belief that they and no one else were raising their offspring. Conservative romanticism about family life and ideals about motherhood – also shared by radical feminists – contributed to upholding the traditional pedagogical contract. When things didn’t work out well in practice, individual mothers were to be blamed, and many developed feelings of guilt and shame when professional and private roles came into conflict.

Things have started to change in the past few years. In many countries, not only has early childhood education expanded rapidly, but it has begun to evolve into different kinds of education targeted to distinct groups of children. The most recent Education Indicators in Focus brief, based on recent Education at a Glance and PISA data, documents the expansion of pre-primary education for children between the ages of three and six. This level of education – between childcare and early childhood development programmes for children under the age of 3 on the one hand, and primary education on the other – is now internationally recognised as a discrete step on the education ladder. In most OECD countries, well over 90% of 4-year-olds are enrolled, although participation among certain segments of the population remains low.

But is the expansion of pre-primary education changing the views on educating young kids? The recent research literature from the fields of developmental and cognitive psychology, neurosciences and economics is convincing on the benefits of early education – provided by specialised education programmes – for the cognitive, social and emotional development of children. Early childhood education is rapidly becoming a major area of policy attention, shared between education and social-welfare ministries. Apart from expanding provision policies now concentrate on raising the qualifications of staff and increasing the quality of the educational environments and pedagogical interventions at large. Early childhood education is no longer about offering children a safe and comfortable shelter while parents are out working, but about creating a pleasant, learning-rich environment from which young children can benefit. Some countries are now imposing pedagogical regulations on pre-primary education, much in the same way as they do for other levels of education, and for good reason. At the same time they also refrain from turning pre-primary education into a school-like environment. The pedagogy of stimulating kids to learn through play and joyful activity fortunately gains ground.

Evidence from PISA shows how beneficial early education can be. The chart above shows the relationship between students’ attendance at more than one year of pre-primary school and the mathematics performance of these students when they are 15 years old. Even after controlling for socio-economic status, gender, immigrant background, language spoken at home, family structure, location of student's school (rural area, town or city), grade repetition and programme orientation (vocational or general) students who had not attended any pre-primary education are almost twice as likely to be low performers in mathematics as students who had attended at least one year of pre-primary education.

The arguments and evidence in favour of early childhood education are now so powerful that they have flipped the traditional question of who should educate young children on its head: should governments stimulate families more to send their children to early childhood education? Families increasingly understand that high-quality early education programmes offer their children more than a safe place to spend a day; they can offer the kind of play and instruction that are the building blocks of healthy cognitive and social development. And governments come to realise that securing high-quality learning environments, with highly qualified staff, also require sound policies specifically tuned to the needs of these young kids.

Links:
What are the benefits from early childhood education? Education Indicators in Focus, issue No. 42, by Diogo Amaro de Paula
Education at a Glance 2015: OECD Indicators
Chart source: OECD (2016a), Low-Performing Students: Why They Fall Behind and How to Help Them Succeed, PISA, OECD Publishing, Paris,