A keynote on artificial intelligence for schools, universities and higher education institutions. Romain Rissoan offers a clear-eyed view of AI in education: enhanced pedagogy, personalised learning, academic integrity and preparing students for the careers of tomorrow.
The arrival of ChatGPT caught schools, universities and teachers off guard almost overnight. But rather than bracing against this wave or attempting — in vain — to ban it, institutions can turn artificial intelligence into a genuine pedagogical asset. That requires a thoughtful approach: preserving academic integrity, nurturing pupils' critical thinking, and rethinking what is assessed and how.
This AI keynote for education offers a balanced perspective, grounded in real examples: concrete pedagogical uses, personalised learning, support for teachers, and preparing students for a professional world where AI is now ubiquitous. Romain Rissoan also addresses head-on the sensitive question of academic integrity — without naivety or alarmism.
The talk is tailored to school and university leadership, teachers and curriculum leads, from secondary through to higher education. The goal is a vision that is both balanced and inspiring: neither technophobia nor uncritical enthusiasm, but a clear understanding of what AI changes for pedagogy — and practical ways to harness it in the interests of learners and teaching staff alike.
Practical applications for teachers and learners alike.
AI adapts exercises, materials and pace to each learner's level and needs, providing the kind of individualised support that is difficult to deliver in a large class. Struggling pupils receive targeted help, advanced learners are stretched, and teachers gain a clearer picture of each student's progress — allowing them to adjust their teaching in real time and focus their attention where it matters most.
Generative AI helps teachers design resources, sequences, quizzes, exercises and differentiated assessments far more quickly. Time saved on preparation can be reinvested in supporting pupils and in the teaching relationship itself. This is an immediately accessible use case that lightens a workload that is often invisible yet substantial — and one that delivers tangible benefits from the very first session.
AI assistants give students continuous, on-demand support: explanations, reformulations, practice exercises and answers to questions at any hour. Properly framed, this digital tutor complements rather than replaces the teacher — helping to unblock difficulties at the moment they arise and encouraging learner autonomy and perseverance over time.
Rather than sidestepping the issue, AI prompts a rethink of assessment — shifting emphasis to oral work, reasoning and in-class tasks — and calls for explicit teaching of responsible, critical tool use. Students learn to use AI with discernment, verify its outputs and understand its limitations: skills that are now essential in academic and professional life alike.
By embedding AI into curricula, institutions equip students with the skills and working practices expected in a professional world where AI is everywhere. Mastering these tools, understanding their implications and knowing how to collaborate with them is a major employability advantage — and one that schools and universities have a responsibility to develop.
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