The rise of artificial intelligence in educational practices raises more than just a question of tools. It raises a question of methodology. This is precisely the angle taken by the briefing "Artificial Intelligence in Classrooms: Pedagogical Dimensions," commissioned by the European Parliament's Committee on Culture and Education (CULT). Its central message is clear: the use of AI in the classroom must be guided by... explicit learning objectives, and not solely by the technical performance of the tools.
The document reminds us that pedagogy encompasses the organization of learning, the design of learning paths, methods of feedback and assessment, and the relationship between teachers, learners, and knowledge. From this perspective, AI only makes sense if it supports a pre-established educational framework. In other words, the question is not simply what the tool can do, but what we want to enable learners to learn, understand, and develop.
This approach is particularly important in a context where the uses of generative AI are rapidly spreading among young people, including for homework, information retrieval, and content creation. The European Parliament emphasizes that this spread is already transforming teaching practices, learning strategies, and assessment methods. The question is therefore no longer whether AI is entering educational environments, but under what conditions it can be used there. integrated without disrupting the objectives of learning.
For vocational training, this point is crucial. Learning a trade isn't just about getting the right answer or following a procedure. It involves understanding a situation, adapting to a context, interpreting instructions, cooperating, and making decisions. In this type of learning, pedagogy remains essential: it structures the progression, connects knowledge to real-world situations, and gives meaning to the skills used. AI can enrich this framework, but it cannot replace it. This perspective aligns with the logic of the briefing, which emphasizes an approach learner-centred and on the need to preserve the autonomy and critical engagement of learners.
The text also highlights the more central role than ever of teachers, trainers, and mentors. As tools become more powerful, their mission does not diminish; it evolves. They become more like designers of learning situations, guides in the reasoned use of technology, and points of reference capable of helping young people distinguish between rapid output and genuine learning. The briefing also emphasizes that pedagogical considerations must be operationalized in public policies, in line with the existing European framework. AI Act, Digital Education Action Plan and first executives of AI literacy.
Ultimately, the message of this document is simple yet essential: artificial intelligence must not dictate education. It must remain a tool serving a broader ambition: to train individuals capable of understanding, judging, acting, and fully participating in society. For vocational training, as for education in general, the challenge is therefore not merely technological; it is fundamentally pedagogical.
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