Previous research has shown that fathers taking some time off work around childbirth, especially periods of leave of 2 or more weeks, are more likely to be involved in childcare related activities than fathers who do not do so. Furthermore, evidence suggests that children with fathers who are ‘more involved’ perform better during the early years than their peers with less involved fathers. This paper analyses data of four OECD countries — Australia; Denmark; United Kingdom; United States — to describe how leave policies may influence father’s behaviours when children are young and whether their involvement translates into positive child cognitive and behavioural outcomes. This analysis shows that fathers’ leave, father’s involvement and child development are related. Fathers who take leave, especially those taking two weeks or more, are more likely to carry out childcare related activities when children are young. This study finds some evidence that children with highly involved fathers tend to perform better in terms of cognitive test scores. Evidence on the association between fathers’ involvement and behavioural outcomes was however weak. When data on different types of childcare activities was available, results suggest that the kind of involvement matters. These results suggest that what matters is the quality and not the quantity of father-child interactions.
The main task of the Working Group on Adult Learning of the INES Labour Market, Economic and Social Outcomes network is the development of indicators on Adult Learning for publication in the annual volume “Education at a Glance” of the OECD. As part of this task, a list of 18 policy goals/issues in the domain of adult learning have been identified through broad consultations. After identifying the policy goals a theoretical framework was developed in order to be able to systematically select indicators for monitoring them. The theoretical framework is based on a systemic approach, identifying context, input, processes, output and outcome of the system of Adult Learning. The policy goals to be monitored and the theoretical framework constitute the basis for the definition and selection of a list of indicators which might be published in EAG. The third element in the development of international indicators is the existence of comparable data of good quality. The paper includes a list of 44 indicators which are practical to publish with existing data sources or with data sources likely to become available in the near future. The coverage of the policy areas is uneven, reflecting both the focus of existing data sources and the difficulties of some data gathering exercises.
Learning Study is a collaborative, action-research approach to improve the effectiveness of student learning by enhancing the professional competence of teachers. This is achieved through the collaborative construction of the pedagogical content knowledge enabling them better to teach specific objects of learning. Through inquiry and authentic learning by the teachers, it takes account of students’ prior knowledge in the lesson planning and so creates an authentic learning environment for the students. This paper explains how the Learning Study approach relates to the set of approaches known as “Lesson Study” and how it incorporates the principles for high quality learning proposed by the OECD project on Innovative Learning Environments (ILE) in its design and implementation. It examines how Learning Study helps to integrate the factors comprising innovative learning environments. It analyses the critical conditions that support its development and practice in schools and in professional learning networks and education systems in general.
Many international comparisons of education over the past 50 years have included some measure of students’ opportunity to learn (OTL) in their schooling. Results have typically confirmed the common sense notion that a student’s exposure in school to the assessed concepts, operationalized in some sort of time metric, is related to what the student has learned as measured by the assessment. What has not been demonstrated is a connection between the specifics of what students have encountered through schooling and their performance on any sort of applied knowledge assessment such as PISA. This paper explores this issue in 2012 PISA which, for the first time, included several OTL items on the student survey. OTL demonstrated a significant relationship with student performance on both the main paper-and-pencil literacy assessment as well as the optional computer-based assessment at all three levels – country, school and student. In every country at least one if not all three of the constructed OTL indices – exposure to word problems, formal mathematics topics, and applied mathematics problems – demonstrated a significant relationship to the overall PISA measure of mathematics literacy as well as the four sub areas of change and relationships, shapes and space, quantity, and uncertainty and data. Additionally, results indicated that variability in OTL was related to student performance having implications for equality of opportunity.
This paper explores the nature of complexity theory and its applications for educational reform. It briefly explains the history of complexity theory and identifies the key concepts of complex adaptive systems, and then moves on to define the differences between simple, complicated, and complex approaches to educational reform. Special attention is given to work currently underway in the fields of healthcare, emergency management and ecology that draws on complexity theory to build more resilient and robust response systems capable of adapting to changing needs and of identifying key pressure points in the system. Finally, this paper presents several examples of educational reform programmes undertaken worldwide that have implemented complexity theory principles to achieve positive results. It also recommends involving multiple stakeholders across the different levels of governance structure, increasing lateral knowledge-sharing between schools and districts, and transforming policy interventions to bring greater flexibility to the reform process. This move toward feedback-driven adaptive reform allows for better targeting of programmes to specific contexts and may prove a key way forward for educational policymakers
Existing estimates of the labor-market returns to human capital give a distorted picture of the role of skills across different economies. International comparisons of earnings analyses rely almost exclusively on school attainment measures of human capital, and evidence incorporating direct measures of cognitive skills is mostly restricted to early-career workers in the United States. Analysis of the new PIAAC survey of adult skills over the full lifecycle in 22 countries shows that the focus on early-career earnings leads to underestimating the lifetime returns to skills by about one quarter. On average, a one-standard-deviation increase in numeracy skills is associated with an 18 percent wage increase among prime-age workers. But this masks considerable heterogeneity across countries. Eight countries, including all Nordic countries, have returns between 12 and 15 percent, while six are above 21 percent with the largest return being 28 percent in the United States. Estimates are remarkably robust to different earnings and skill measures, additional controls, and various subgroups. Intriguingly, returns to skills are systematically lower in countries with higher union density, stricter employment protection, and larger public-sector shares.
Résumé
Future economic growth and social progress in knowledge societies rely increasingly on innovation. Innovators and entrepreneurs require skill sets for innovation such as technical skills, thinking and creativity skills, as well as social and behavioural skills. Higher education plays an important role in providing people with skills for innovation, but a number of important questions remain as to what kind of higher education teaching can be conducive to the strengthening of skills for innovation.
This paper proposes a new measure of skills mismatch that combines information about skill proficiency, self-reported mismatch and skill use. The theoretical foundations underling this measure allow identifying minimum and maximum skill requirements for each occupation and to classify workers into three groups, the well-matched, the under-skilled and the over-skilled. The availability of skill use data further permit the computation of the degree of under and over-usage of skills in the economy. The empirical analysis is carried out using the first wave of the OECD Survey of Adult Skills (PIAAC) and the findings are compared across skill domains, labour market status and countries.
Human capital is key for economic growth. Not only is it linked to aggregate economic performance but also to each individual’s labour market outcomes. However, a skilled population is not enough to achieve high and inclusive growth, as skills need to be put into productive use at work. Thanks to the availability of measures of both the proficiency and the use of numerous types of skills, the Survey of Adult Skills offers a unique opportunity to advance knowledge in this area and this paper presents and discusses evidence on both these dimensions with a particular focus on their implications for labour market policy. This paper explores the role played in the labour market by skill proficiency in the areas of literacy, numeracy and problem solving in technology-rich environments. It also shows how skills use, not only proficiency, affects a number
of key labour market phenomena, such as the gender wage gap. Finally, the paper combines information on skill proficiency, educational attainment, skill use and qualification requirements to construct indicators of qualification and skills mismatch and to explore their causes and consequences.
Trust is indispensable for social and economic relations; it is the glue that holds organisations together and appears to work somehow mysteriously. Overall, trust is a ubiquitous ingredient in policymaking and implementation across many governance systems including education, whether it concerns accountability mechanisms, capacity building or strategic thinking. Yet our understanding, conceptualisation and measurement of these issues remain limited. This working paper asks the question: what is trust and how does it matter for governance, especially in education systems? It explores why trust is key for policymaking and where it fits within current governance issues. The paper examines different definitions of trust, presents various ways of measuring trust and discusses some of their benefits and limitations. It proposes a definition of trust made up of three parts: trust as an expectation, a willingness to be vulnerable and a risk-taking act. The paper then presents a simple model of trust and governance and reviews the relationship between trust and different elements in education systems, such as complexity, asymmetries in information and power, collaboration/cooperation, monitoring and accountability, and professionalisation. It concludes with some policy findings and identifies several research gaps.
The governance of complex, decentralised, multi-level education systems poses two fundamental questions for both policy- and research discussions: What are innovative contemporary governance strategies for the central level in education systems? How can these approaches be described and analysed to identify commonalities that might help to understand how and if they work? In addressing these questions, this paper’s aim is twofold: first, to inform the policy-discussion by presenting empirical examples of new governance mechanisms that central governments use to steer systems across their levels; and second, to contribute to the conceptual discussion of how to categorise and analyse the evolution of new governance structures. To do so, the paper starts with identifying core features of multi-level governance and the respective conceptual gaps it produces. It then introduces a simple analytical categorisation of modes of governance. An analysis of three
empirical cases (an institutionalised exchange between governance levels in Norway, a capacity building programme in Germany, and the Open Method of Coordination within the European Union) then shows how various education systems address these gaps and design the role of the central level in complex decision-making structures. A comparison of the three cases identifies – despite the heterogeneity of the cases – several communalities, such as multi-staged policy processes,
transparency and publicity, and soft sanctions. The paper concludes that the Open Method of Coordination, even though often criticised for its inefficiencies, might serve as a promising template for national approaches to soft governance in education. Further research on OECD education systems is needed to gather more empirical examples; these may help to get a better
understanding of what is needed for successful steering from the central level in decentralised contexts.
Mental ill-health can lead to poor work performance, high sickness absence and reduced labour market participation, resulting in considerable costs for society. Improving labour market participation of people with mental health problems requires well-integrated policies and services across the education, employment, health and social sectors. This paper provides examples of policy initiatives from 10 OECD countries for integrated services. Outcomes and strengths and weaknesses of the policy initiatives are presented, resulting in the following main conclusions for future integrated mental health and
work policies and services.
IQ tests and achievement tests do not capture non-cognitive skills — personality traits, goals, character and motivations that are valued in the labour market, in school and elsewhere. For many outcomes, their predictive power rivals or exceeds that of cognitive skills. Skills are stable across situations with different incentives. Skills are not immutable over the life cycle. While they have a genetic basis they are also shaped by environments, including families, schools and peers. Skill development is a dynamic process. The early years are important in shaping all skills and in laying the foundations for successful investment and intervention in the later years. During the early years, both cognitive and non-cognitive skills are highly malleable. During the adolescent years, non-cognitive skills are more malleable than cognitive skills. The differential
plasticity of different skills by age has important implications for the design of effective policies.
Social and emotional skills, such as perseverance, sociability and self-esteem, help individuals face the challenges of the 21st century and benefit from the opportunities it brings. Policy makers, teachers and parents can help foster these skills by improving the learning environments in which they develop. This paper reviews international evidence, including those from Japan, to better understand the learning contexts that can be conducive to children’s social and emotional development. It sheds light on features that underlie successful learning programmes including intervention studies. Reviewed evidence suggests that there are important roles for families, schools and communities to play in enhancing children’s social and emotional skills, and that coherence across multiple learning contexts needs be ensured. While most of the evidence comes from the United States and the United Kingdom, the paper suggests that further efforts could be made in Japan in collecting and better exploiting micro-data on a range of social and emotional skills, as well as in evaluating effectiveness of nterventions designed to raise social and emotional skills.
This paper presents the findings based on case studies of the educational systems of England and of the Canadian province of Ontario, as part of a research project funded by the Thomas J. Alexander Fellowship Programme.1 This research project aims to provide inputs to policymakers and school leaders, especially in Latin America, to support teachers and schools with student behaviour issues and improve classroom and school climate. The purpose of these case studies is to investigate how
system-level policies in four main areas (initial teacher education, professional development, professional collaboration and participation among stakeholders) and other types of system-level initiatives (such as student behaviour policies) have been implemented in order to improve disciplinary climate and help teachers to deal with student behaviour issues. It also aims to
identify the conditions in which teaching and classroom practices take place, in order to understand the context of student behaviour and disciplinary climate in these educational systems.
Having the highest levels of skills in problem solving using ICT (information and communication technologies) increases chances of participating in the labour force by six percentage points compared with adults who have the lowest levels of these skills, even after accounting for various other factors, such as age, gender, level of education, literacy and numeracy proficiency, and use
of e-mail at home.
This report is an assessment of the programme “Lernen vor Ort” [LvO – “Learning Locally”] initiated by the German federal government in order to support the development of local governance structures in education. LvO ran between 2009 and 2014 in about 40 participating local governments, which were chosen in a competitive process. It aimed at promoting cooperation between local governments and civil society stakeholders, creating sustainable structures in educational monitoring, management and consulting as well as improving local capacities in knowledge management. Besides providing
important background information on the German education system and the design of the LvO programme, this study engages in five detailed case studies of the implementation of the LvO programme in different local authorities. These studies are mainly based on approximately 90 interviews with local and national experts, and stakeholders. The main findings are that LvO can be regarded as a success due to the fact that it had a lasting and probably sustainable impact in the cases studied in this report, in particular with regard to those structures that produce concrete and visible outputs, such as educational monitoring. The case studies also reveal a number of local factors that influence the relative effectiveness of the implementation of the programme. Political leadership and support from the head of the local government are crucial, in particular during critical situations during the implementation. Furthermore, the impact of the programme was particularly positive, when the process of local implementation was characterised by clear communication strategies, broad stakeholder involvement in governing bodies and the implementation of concrete goals and projects. However, relative success also depended on important background factors such as local socio-economic conditions as well as financial and administrative capacities, which could not be adressed directly by the programme’s goals. The report concludes with some general recommendations and lessons learned of relevance for other countries.
This paper exploits data from the Survey of Adult Skills (PIAAC) to shed light on the link between measured cognitive skills (proficiency), (formal) educational attainment and labour market outcomes. After presenting descriptive statistics on the degree of dispersion in the distributions of proficiency and wages, the paper shows that the cross-country correlation between these two dimensions of inequality is very low and, if anything, negative. As a next step, the paper provides estimates of the impact of both proficiency and formal education at different parts of the distribution of earnings. Formal education is found to have a larger impact on inequality, given that returns to education are in general much higher at the top than at the bottom of the distribution. The profile of returns to proficiency, by contrary, is much flatter. This is consistent with the idea that PIAAC measures rather general skills, while at the top end of the distribution the labour market rewards specialised knowledge that is necessarily acquired through tertiary and graduate education. Finally, a decomposition exercise shows that composition effects are able to explain a very limited amount of the observed cross-country differences in wage inequality. This suggests that economic institutions, by shaping the way personal characteristics are rewarded in the labour market, are the main
determinants of wage inequality.
The Organisation for Economic Cooperation and Development (OECD) has linked data from the Teaching and Learning International Survey (TALIS) of teachers of 15-year-old students with school-level data from the Programme for International Student Assessment (PISA), a survey of 15-year-old students. The purpose of this study is to present an exploratory analysis of the combined TALIS-PISA data by examining the relationship of school-level student measures to teacher outcomes. In other words, this paper examines how student factors in a school may influence teachers’ work, their attitudes, and their perceived needs for support. Survey responses were collected from teachers and students in eight countries. Data from 26 610 teachers were combined with student measures, aggregated by school, from 103 077 students.
As governments around the world struggle with doing more with less, efficiency analysis climbs to the top of the policy agenda. This paper derives efficiency measures for more than 8,600 schools in 30 countries, using PISA 2012 data and a bootstrap version of Data Envelopment Analysis as a method. We estimate that given current levels of inputs it would be possible to increase achievement by as much as 27% if schools improved the way they use these resources and realised efficiency gains. We find that efficiency scores vary considerably both between and within countries. Subsequently, through a second-stage regression, a number of school-level factors are found to be correlated with efficiency scores, and indicate potential directions for improving educational results. We find that many efficiency-enhancing factors vary across countries, but our analysis suggests that targeting the proportion of students below low proficiency levels and putting attention to
students’ good attitudes (for instance, lower truancy), as well as having better quality of resources (i.e. teachers and educational facilities), foster better results in most contexts.