This session will bring together Digital Education Outlook 2026’s experts to discuss how generative AI can support teaching and learning. Researchers will present examples and evidence of how GenAI-powered tutors and teaching assistants (TA). The Socratic Playground platform will exemplify how GenAI can support learners through 24/7 adaptive dialogue, scaffolded questioning and role-based pedagogical interactions. The Jeepy TA demo will show how AI teaching assistants may enhance feedback, responsiveness and instructional support while maintaining teacher oversight and agency.

This session will present some of the evidence about the use and impact of generative AI in education, highlighting the opportunities and challenges of generative AI for learning, teaching and administering education systems. The session will cover both the “use cases” for generative AI and emerging research evidence on its impact. The session will thus nurture and bring common elements before the work on guidelines and guardrails.

This session will bring together representatives from countries to discuss their domestic efforts and initiatives to support the responsible use of generative AI in education. It will be an occasion to exchange on different policies and initiatives aimed at ensuring GenAI meets efficacy and safety standards in education.

This session will unpack the research evidence analysed in the OECD Digital Education Outlook 2026 into insights for the effective use of GenAI in education. OECD Director for Education and Skills Andreas Schleicher will open the floor and initiate a multistakeholder and thematic discussion with Education International, high-level country officials, as well as EdTech and youth voices. The session will be concluded with a 30-minute questions & answers time to address questions from the audience.

This keynote session will invite Dragan Gašević, one of the Digital Education Outlook 2026’s authors and a global leading researcher on generative AI in education, to present a panorama on the latest research evidence on Generative AI in education.

This session will bring together representatives from Estonia, France, and Uruguay to discuss their domestic perspectives on generative AI in education. It will be an occasion to exchange on different policies and initiatives aimed at seizing the benefits of generative AI in education by providing the appropriate digital infrastructure.

This session will bring together AI companies and researchers to discuss, from their stakeholder perspectives, what effective educational GenAI tools look like and what it takes to develop them.

This session will explore examples of how generative AI can streamline institutional operations in education, from academic advising and admissions to curriculum management and other core administrative workflows. It will also examine how GenAI can support the development and implementation of assessments, illustrating how productivity gains and innovation can be achieved while maintaining strong human oversight and quality control.

This session will invite education practitioners, including school principals, teachers, and teacher trainers, to present some positive uses of (educational) GenAI for teaching and learning and reflect on its best possible role in and outside the classroom.

This session will discuss assessment, cognitive offloading and academic integrity at the age of generative AI.

This session will focus on AI literacy. To what extent do we need to better understand AI, engage with it? What does it mean to be AI literate? This session will present the EC/OECD AI literacy framework, its translation into an assessment framework for the PISA 2029 innovative domain, but also discuss the practical acquisition and implementation of AI literacy in the school context.

This session will explore how GenAI and other forms of AI are reshaping scientific research, including educational research, and raising new challenges for higher education. After a presentation of the main trends and use cases for GenAI in scientific research, as reported in the OECD Digital Education Outlook 2026, it will provide examples of agentic AI for scientific research and of use cases for educational research.

Is generative AI an amplifier of the digital divide across countries or will it help close it and provide new opportunities for better education and skills? This session will discuss the opportunities and challenges of GenAI in low and middle income countries/contexts. Beyond infrastructural issues, it will look at possible use cases for GenAI and AI for teachers and learners in areas where access to devices, connectivity and AI skills remains limited.

This keynote session will provide the audience with an opportunity to hear Stéphan Vincent-Lancrin, lead editor of the OECD Digital Education Outlook series, present the main findings of the latest report and discuss his key insights with the audience in a moderated question-and-answer time.

This session, organised and moderated by young people and high school students, will address their views of generative AI and what they expect from it (and not) in their learning environment – in school and out of school. They will reflect on appropriate and inappropriate uses of GenAI and how they see its transformative role for education.

This session will bring together two key stakeholders, EdTech companies and government agencies, to discuss what it takes to (co-)develop safety standards that both steer and govern the rollout and use of GenAI tools that also align with pedagogical expectations.

This session will present how GenAI can be used in a positive way when following the principles of learning science and educational research, dwelling on examples presented in the OECD Digital Education Outlook 2026. After showing how GenAI could support collaborative learning in different ways, based on the lessons of computer-assisted collaborative learning, the session will highlight how it can support the fostering of creativity skills or support teachers to develop more effective warm up activities or vary their learning strategies.