In fact, it already has changed significantly and this process is continuing ever more rapidly. Up until now, the university has prohibited students to use generative AI. But this position is untenable; it is bound to get used in our academic education – not only by students but also by the teachers.

In this course, we will investigate what will change in student's learning paths when generative AI is allowed to be used in the learning process. How will it affect our vision on education, and to what changes will it lead in our theories of how learning takes place?

Jointly we’ll explore how academic education will (need to) look like in the near future. How will students learn when they all use AI to make their assignments? What is needed when we move from pedagogy to pedAIgogy? What kind of learning objectives do we need to formulate? What kind of assessment is required to make any kind of meaningful learning possible? What kind of attitude do learners need to employ if most if not all answers to our knowledge questions can simply be generated by consulting the bot? And what kind of changes does this demand from the side of the teacher? By addressing these questions together, we aim to inspire a well-wrought transformation from education to AI(-enhanced) education.

Coordinator

Dr. Coyan Tromp

Timetable

All lectures will take place on-campus and we assume you can be physically present during the scheduled hours. You can find the timetable on Datanose.

Registration

Registration is possible for students participating in an Honours programme. The registration period for the Honours courses will be from June 6, 10:00 am to June 10, 11.59 pm. You can register through the online registration form that will appear on Honoursmodules IIS. (registration is NOT through SIS)

Please note: Placement is not guaranteed if you register after June 10, so make sure you register on time. You will hear which course(s) you are registered for before the end of June. 

For questions about registration, please contact us at: honours-iis@uva.nl.