Résumé: My encounter with research on AI in education has been mostly through teaching an MA course in Education and Technology. Over the last 4 years or so, a recurring pattern in classroom conversations between students is the treatment of AI as equivalent to ‘personalised learning’, with the latter characterised in terms of solving three main problems in education. First, the ‘one size fits all’ model, which monopolistically imposes State-defined curricula, standards and timetables on a diverse population, privileging the interests of large powerful institutions like schools and universities over the specific and varied needs of individuals. Second, personalised learning enables people to ‘learn at their own pace’, by contrast to the fixed temporal divisions and speeds of the academic calendar and assessment frameworks. And third, teachers’ time is saved and their workload lightened, with the burdensome tasks of whole class teaching lifted off their shoulders.

Langue: Anglais