Generative AI is closely related to academic activities. Academic problems can be solved with the "right" text. University teaching is affected by the potentials and limitations of AI technology in two ways: it is itself an academic activity and at the same time is intended to prepare students for academic activities.
The course will show and discuss ways in which university teaching can be prepared and carried out with the support of AI. This includes the creation of teaching-learning materials, quizzes and exam questions as well as the promotion of interaction, application orientation and critical thinking of students when using AI tools. We will discuss examples of the effective use of generative AI.
Learning objectives
The participants
- know AI tools and exemplary prompts to support teaching-related activities,
- test AI-supported preparation of teaching and evaluate the results,
- know and discuss the potentials and limitations of generative AI.
Further information: www.hd-sachsen.de/anmeldung/ki-gestuetzte-vorbereitung-und-durchfuehrung-von-hochschullehre-5
Anmeldung: kursmanagement.hd-sachsen.de/sign_up/49926d1ac8290f1f18f5d6e4c4049896
Course leader and contact person
Stefan Müller has been a consultant for university didactics at the West Saxon University of Applied Sciences Zwickau since 2011 and has also been working in university didactics in Saxony since 2022. He conducts university didactics courses, advises university lecturers, evaluates courses and implements innovative teaching and learning projects together with professors. He also supports students in developing their study skills. Stefan Müller has been working in teacher training since 2004. Prior to this, he worked in therapist training and as a vocational school director. His academic roots lie in sports science and business administration (Master's degree).
Contact person
Daniel Winkler, University Didactics Officer at the HSZG