Teacher candidates' fears and expectations about the use of artificial intelligence in education

In recent years, the use of artificial intelligence (AI) has been the subject of an increasingly intense debate in almost all fields of science. Education is no exception, including in the public and higher education sectors. In our study, we explore the intersection of public education and teacher training in higher education, to see how we can most effectively prepare today's student teachers for tomorrow's practicing teachers. We will touch on the problems, challenges and fears of traditional higher education in relation to the use of AI by students, teachers and researchers, and take stock of the potential uses and limitations of AI in the everyday of teachers in public education. In the context of AI, we also consider the paradigm of "learning by teaching - teaching by learning" to be particularly important, as technological change is forcing us all into new roles, whether as students, academics or practising teachers. Particular emphasis will be placed on pedagogical process design, preparation and the renewal of assessment and evaluation. Our method is mainly document analysis, reviewing the relevant national and international literature. We then describe the design, methods and tools of our research, which will start in 2025.