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Social and Emotional Skills for Better Lives presents results from the OECD’s Survey on Social and Emotional Skills (SSES) 2023. SSES is the largest international effort to collect data on these skills among 10- and 15-year-old students. The report explores how the following skills differ by socio-demographic groups and how they relate to key life outcomes: task performance skills (persistence, responsibility, self-control and achievement motivation); emotional regulation skills (stress-resistance, emotional control and optimism); engaging with others skills (assertiveness, sociability and energy); open-mindedness skills (curiosity, creativity and tolerance); and collaboration skills (empathy and trust). The results show that students’ social and emotional skills – or 21st century skills – are linked to better life outcomes, including academic success, greater life satisfaction, healthier behaviours, less test and class anxiety, and more ambitious career plans. The Survey also finds that these skills are inequitably distributed among students by age, gender, and socio-economic background. SSES 2023 was conducted in Bulgaria, Chile, Peru, Spain, Mexico, Ukraine, Bogotá (Colombia), Delhi (India), Dubai (United Arab Emirates), Emilia-Romagna (Italy), Gunma (Japan), Helsinki (Finland), Jinan (China), Kudus (Indonesia), Sobral (Brazil) and Turin (Italy). Results are compared to SSES 2019, which took place before the COVID-19 pandemic.

This policy brief brings together key reflections from the Policy Dialogues in Focus: International Insights for Digital Education Reform in Brazil. This seminar series from the Education Policy Outlook offered federal and subnational policy makers, civil society actors and researchers in Brazil the opportunity to learn from the experiences of six peer education systems (New South Wales (Australia), Chile, Colombia, Ireland, Korea and Mexico). The seminars also provided insights into other relevant international comparative and empirical work from the OECD. The policy brief builds on the main reflections and insights shared by presenters and participants in the seminars, covering four key topics: digital education governance, infrastructure and resources, capacity building and digital learning resources. The brief proposes pointers for policy makers in Brazil to consider when pursuing the design, implementation and monitoring and evaluation of digital education reforms.

Students face a future filled with uncertainty and change. For education systems to continue to remain relevant, they must empower students to navigate these changes and succeed in the future by equipping them with the requisite knowledge, skills, attitudes and values. Teachers are key enablers of this endeavour, and it is imperative that governments and teacher organisations collaborate to support teachers in exploring and enacting pedagogies, and designing learning environments that support student attainment of future-ready competencies, through policies, processes and teacher professional development.

The choice and diversity of upper secondary education create great potential to respond to the needs of Indigenous learners, and high stakes at this level make it critical to promote learners' success. Having historically been marginalized in educational settings around the world, it is essential that Indigenous students receive a supportive environment and the resources to succeed at this level. This policy brief provides reflections on the topic of supporting Indigenous learners in upper secondary education from a Peer Learning Discussion hosted by the OECD’s Above and Beyond: Transitions in Upper Secondary Education project. In December 2021, the project organised an informal discussion with participants from New Zealand and two provinces in Canada (Alberta and Manitoba), focusing on the systems’ experiences of supporting Indigenous learners at this level. This policy brief presents a summary of insights shared during this informal discussion, as well as background on the issues participants raised.

This evolving paper follows a first paper released in 2021 on 'National or regional curriculum frameworks and visualisations'. It presented a compilation of visualisations of curriculum frameworks, main competences and strategic schemes provided by countries and jurisdictions as part of the OECD Education 2030 curriculum analysis work. This paper presents a compilation of visualisations from conceptual frameworks that align with the OECD Learning Framework – OECD Learning Compass 2030, developed by inter-governmental, international organisations, non-governmental associations, or at the school or local level. The OECD Learning Compass 2030 positions itself as an overarching framework, with a taxonomy that serves as a common language for a multitude of audiences and contexts. The paper is an evolving document: new frameworks will be added and updated on a regular basis, in particular with frameworks of those schools, NPOs and other social partners who become part of the OECD Education 2030 multi-stakeholders’ group.

This Education Spotlight, the second in a series of three, presents key lessons and inspiring examples of policy and practice to inform how traditional higher education programmes, like bachelor’s degrees, can effectively cultivate competencies crucial for green and digital innovation. The Spotlight was prepared by the OECD Higher Education Policy Team as part of the Education and Innovation Practice Community (EIPC), an action of the European Union’s New European Innovation Agenda, flagship 4 on 'Fostering, attracting and retaining deep tech talent'. EIPC seeks to bring together peers from policy and practice to advance understanding of the competencies that can trigger and shape innovation for the digital and green transitions, and the mechanisms through which higher education can contribute to their development in secondary education, higher education, and adult upskilling and reskilling.

This paper explores the economics of Artificial Intelligence (AI), focusing on its potential as a new General-Purpose Technology that can significantly influence economic productivity and societal wellbeing. It examines AI's unique capacity for autonomy and self-improvement, which could accelerate innovation and potentially revive sluggish productivity growth across various industries, while also acknowledging the uncertainties surrounding AI's long-term productivity impacts. The paper discusses the concentration of AI development in big tech firms, uneven adoption rates, and broader societal challenges such as inequality, discrimination, and security risks. It calls for a comprehensive policy approach to ensure AI's beneficial development and diffusion, including measures to promote competition, enhance accessibility, and address job displacement and inequality.

If test-takers do not engage with the assessment, the reliability of test scores and the validity of inferences about their proficiency may suffer. Test-taker disengagement is particularly likely in low-stakes assessments and, according to prior research, for certain types of students. But levels of engagement may also be related to aspects that test developers can manipulate, such as item characteristics. This paper investigates which item characteristics are associated with two indicators of test-taker disengagement, rapid guessing and breakoffs, in an international assessment of reading. Analyses of data from almost 500 000 students from 67 countries and economies that took part in the 2018 Programme for International Student Assessment (PISA) show that rapid guessing was observed mainly on simple multiple-choice questions. Breakoffs were more likely in the presence of idiosyncratic selected-response formats, such as hot spot or matching tasks. Both rapid guessing and breakoffs were more frequent on tasks involving long and complex texts.

Students are much more than their grades. Beyond performing well in school, students must learn to manage their relationships with others, confront stress, find purpose in what they do, and deal with a series of factors oftentimes beyond their control – all of this, during a particularly sensitive period of their lives. How they do across all these dimensions of life shapes their well-being, which in turn affects their school performance and their life outcomes beyond school. In 2015, PISA broke new ground by including indicators of student well-being alongside traditional measures of academic performance. However, the data on student well-being often remain overshadowed by country and economy scores in mathematics, science, and reading - traditionally considered the primary outputs of PISA. This paper presents a proposal to increase the visibility and policy impact of PISA indicators on well-being, by organising them in thematic areas and presenting them through data visualisations that respond to the needs of different kinds of users. The proposed PISA dashboard on students’ well-being has the potential to offer policy makers, educators, parents, and other stakeholders a comparative perspective on how well schools are fostering the essential foundations for students to lead fulfilling lives.

Most workers who will be exposed to artificial intelligence (AI) will not require specialised AI skills (e.g. machine learning, natural language processing, etc.). Even so, AI will change the tasks these workers do, and the skills they require. This report provides first estimates for the effect of artificial intelligence on the demand for skills in jobs that do not require specialised AI skills. The results show that the skills most demanded in occupations highly exposed to AI are management and business skills. These include skills in general project management, finance, administration and clerical tasks. The results also show that there have been increases over time in the demand for these skills in occupations highly exposed to AI. For example, the share of vacancies in these occupations that demand at least one emotional, cognitive or digital skill has increased by 8 percentage points. However, using a panel of establishments (which induces plausibly exogenous variation in AI exposure), the report finds evidence that the demand for these skills is beginning to fall.