HYBRID: What can AI do for learning about and doing Physics?

This lecture will be held in presence in the Anna-von-Helmholtz-Bau of the Physikalisch-Technische Bundesanstalt in Berlin-Charlottenburg and can be followed online at the same time. Please use the links above to register your personal participation or to receive the access data for online participation.

Topic:

With the release of ChatGPT, AI was at the fingertips of the broader public. Since then, AI has seen a steep uptake in academia and education more generally. Headlines such as ChatGPT passing AP Physics exams have led to question about exam policies, what and how to teach, and what it means to know, to do, and the value of being able to do physics more generally. This talk aims at taking a look beyond the hype and flashy headlines to discuss what potentials and pitfalls AI holds for the future of learning about and doing Physics.

CV:

Marcus Kubsch studied physics and English on the teaching track in Kiel, Germany. There, he first became fascinated by Astrophysics. However, at the last moment, he decided not to pursue a PhD in Astrophysics because an even more fascinating opportunity arose that combined his passion for physics and English at the Physics Education Department at the Leibniz Institute for Science and Mathematics Education (IPN). There, he obtained his PhD in an international collaboration that investigated new approaches to teaching. From 2020 to 2023 he then led an independent research group on Learning Progression Analytics at IPN. Since 2023, he is an assistant professor for Physics Education Research (tenure track) at Freie Universität Berlin.

Following the lecture, there will be a get-together where participants can exchange ideas with each other over pizza and drinks.

The event is sponsored by the Wilhelm and Else Heraeus Foundation.