The OECD Digital Education Outlook 2026 explores emerging research on the use of generative AI in education and presents innovative tools and applications that show promise. The report examines the use of generative AI in different teaching and learning scenarios: by students to learn subject knowledge, by students and teachers together as part of instruction, and by teachers alone to support their work in the classroom. The Outlook also showcases how generative AI can enhance the efficiency of education institutions and systems, such as research, analysis of learning pathways and support for study advisors. While highlighting the opportunities and benefits of generative AI, the report also notes key challenges and concerns. It provides a state-of-the-art overview of the impact and possibilities of generative AI in education and is an essential resource for education policymakers, institution leaders, researchers, as well as other stakeholders.
Índice
- 1. Exploring effective uses of generative artificial intelligence in education: An overview. Stéphan Vincent-Lancrin y Quentin Vidal
- 2. Generative AI for human skill development and assessment: Implications for existing practices and new horizons. Dragan Gaševiฤ y Lixiang Yan
- 3. Learning with dialogue-based AI tutors: Implementing the Socratic method with generative AI. Yuheng Li y Xiangen Hu
- 4. Fostering collaborative learning and promoting collaboration skills: What generative AI could contribute. Sebastian Strauß y Nikol Rummel
- 5. Developing creativity with generative AI: A conversation with Ronald Beghetto. Stéphan Vincent-Lancrin y Quentin Vidal
- 6. AI in education unplugged: A conversation with Seiji Isotani. Stéphan Vincent-Lancrin y Quentin Vidal
- 7. A conceptual framework for teacher-AI teaming in education: Harnessing generative AI to enhance teacher agency. Mutlu Cukurova
- 8. Transitioning from general-purpose to educational-oriented generative AI: Maintaining teacher autonomy. Paraskevi Topali, Alejandro Ortega-Arranz e Inge Molenaar
- 9. Generative AI as a teaching assistant. Ryan Baker, Xiner Liu, Mamta Shah, Maciej Pankiewicz, Yoon Jeon Kim, Yunseo Lee y Chelsea Porter
- 10. Generative AI tools to support teachers: A conversation with Dorottya Demszky. Stéphan Vincent-Lancrin y Quentin Vidal
- 11. AI in institutional workflows: Learning from higher education to unlock new affordances for education systems and institutions. Zachary Pardos y Conrad Borchers
- 12. Generative AI for standardised assessments: A conversation with Alina von Davier. Stéphan Vincent-Lancrin y Quentin Vidal
- 13. Generative AI and the transformation of scientific research. Dominique Guellec y Stéphan Vincent-Lancrin
Publicado el 19 de enero de 2026. Licencia CC BY 4.0. ISBN 978-92-64-74128-7 (impreso), 978-92-64-91530-5 (PDF).
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