2026年數字教育展望報告-OECD.pdf

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時間：2026/03/03
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2026年數字教育展望報告-OECD。The OECD Digital Education Outlook is the OECD’s flagship publication presenting our latest analysis of emerging digital technologies in education. This 2026 edition synthesises evidence and expert insights to show how generative AI has the potential to transform the quality and effectiveness of learning, as well as the productivity of education systems, provided its associated risks are carefully managed. Its applications include enhancing student learning, supporting teachers’ performance while preserving professional autonomy, and strengthening education systems, as well as institutional and research capacities. For students, generative AI can scale personalised learning through intelligent tutoring systems, including in lowinfrastructure settings. Generative AI can also support knowledge acquisition by enabling collaborative learning and enhancing creativity. However, evidence shows that overreliance on generative AI tools that provide direct answers can reduce students’ active engagement, improving task performance without corresponding learning gains. When used as a shortcut rather than a learning tool, generative AI can displace cognitive effort and weaken the skills that underpin deep learning. For example, a field experiment in Türkiye found that while access to GPT-4 improved short-term performance – by 48% with the standard interface, and by 127% with a tutoring version designed to support learning – students performed 17% worse once access was removed, showing that generative AI can undermine learning unless explicitly designed to support skill acquisition.