Event details

A thesis at the touch of a button! This sentence has not yet been proven true. Although text-generating AI offers support in many steps of the final paper, term paper or seminar paper, its safe and targeted use requires appropriate skills on the part of the user.

Information and text skills as well as a basic technical understanding of text-generating AI are essential in order to use AI research tools sensibly, to find the right inputs in text-generating AI and, in particular, to critically evaluate and improve the text outputs. In the workshop, participants will therefore learn which processes of the thesis project (from research to outlining to written finalization) can be substituted by text-generating AI, which control mechanisms must definitely be carried out by them and are taught the necessary basic knowledge of scientific research and writing.

In addition to input lectures on the questions listed here, the workshop also includes practical writing exercises that train the responsible use of text-generating AI.

Workload for ECTS:

1 ECTS: One-day workshop with online components and written reflection report or equivalent performance

Lecturer:

Kevin Schumacher is a Germanist (M.A.) and studied at the University of Mannheim and the Karlsruhe Institute of Technology. He has been a research assistant at the Writing Lab of the House of Competence (HoC) since 2022. In cooperation with the KIT library, he develops online courses on collaborative scientific research and writing. Since 2024, he has also been an employee at the Office for Good Scientific Practice and Ethical Principles at the KIT Library.

Lisa Sielaff studied German Studies (M.A.) at the Karlsruhe Institute of Technology and has been a research assistant at the Writing Lab of the House of Competence (HoC) since 2022. Here she is involved in the conception of online courses on collaborative writing and research and supervises the tutor training of the Writing Lab’s writing consultancy.