Artificial intelligence has quickly become part of everyday student life. From explaining difficult concepts to helping organize ideas, generative AI tools are changing how students approach schoolwork. As their use becomes more common, schools are facing a new question: how can AI support learning without replacing it?

The OECD's Digital Education Outlook 2026 reports that generative AI can support learning when it is used with clear learning goals and proper guidance. AI-based tools can provide personalized explanations and feedback, allowing students to receive help based on their individual needs.

However, using AI does not automatically mean students learn more. If students rely on AI to complete work instead of understanding it, the technology may reduce the amount of thinking involved in an assignment. This has led educators to focus less on whether students should use AI at all and more on how they should use it.

UNESCO has taken a similar approach. Its guidance on generative AI in education emphasizes human-centered use of technology and argues that students still need critical thinking, judgment, and responsibility when working with AI. UNESCO has also developed an AI competency framework for students, reflecting the growing importance of understanding both the abilities and limitations of these systems.

The issue is especially important because AI is becoming part of everyday life beyond school. OECD data shows that more than one-third of individuals across OECD countries used generative AI tools in 2025. As these technologies become more common in universities and workplaces, knowing how to use them responsibly may become an important skill in itself.

AI is therefore unlikely to simply replace traditional learning. Instead, it may change what schools expect students to do. Memorizing information may become less central, while asking good questions, evaluating information, and developing original ideas may become more valuable.

The challenge for schools is not simply deciding whether AI is good or bad. It is deciding where the line should be drawn between receiving assistance from technology and allowing technology to do the learning for students.

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