In this inter­ac­tive work­shop, you will explore prac­ti­cal appli­ca­tions of arti­fi­cial intel­li­gence (AI) in uni­ver­sity teach­ing — with a par­tic­u­lar focus on open edu­ca­tional resources (OER). Spe­cific appli­ca­tion exam­ples will be used to show how gen­er­a­tive tools such as text and image gen­er­a­tors not only sup­port the cre­ation of mate­ri­als, but can also open up new didac­tic scope.

After a short input with exam­ples from teach­ing prac­tice and cur­rent insights into the devel­op­ment and appli­ca­tion of AI, you will work in small groups on selected sce­nar­ios. AI will be tested as a spar­ring part­ner, visu­al­izer or source of inspi­ra­tion — always with a view to real teach­ing con­texts. The expe­ri­ences are reflected on in ple­nary ses­sions. The focus is on the ques­tion of how the use of AI can suc­ceed in a didac­ti­cally mean­ing­ful way and sup­port the design of open, high-qual­ity teach­ing mate­ri­als.

The work­shop is aimed at uni­ver­sity lec­tur­ers and staff from higher edu­ca­tion didac­tic ser­vice insti­tu­tions who are look­ing for new impulses for their teach­ing — regard­less of their pre­vi­ous tech­ni­cal knowl­edge. Together, we will explore the poten­tial and chal­lenges of AI-sup­ported appli­ca­tions, develop con­crete ideas for our own prac­tice and open up per­spec­tives on how AI can be mean­ing­fully inte­grated into teach­ing and learn­ing con­texts and OER.