Generative AI is changing not only mentor and discovering procedures however likewise the needs put on future graduates. Along with subject-specific abilities, an important and reflective method to AI systems, the contextualization of AI-generated material, and the factor to consider of ethical, legal, and social concerns are becoming increasingly crucial. TU Dortmund University pursues the objective of preparing trainees for an accountable and reflective technique to AI and enabling them to use the matching tools competently.
University-Wide Exchange
How these developments are concretely altering university mentor was the focus of the occasion in the Rudolf Chaudoire Structure. Around 100 speakers and other interested members from all 17 departments as well as the central clinical units came together to put existing advancements into context, share experiences, and find out about useful examples.
Teacher Wiebke Möhring, Vice President Academic Affairs, was delighted by the strong response: “This shows that the speakers at TU Dortmund University know that artificial intelligence brings obstacles for studying and teaching, which they are happy to rise to them with the goal of enabling great mentor and a top quality education.”
In his keynote, Professor Malte Persike, Academic Director of the Center for Teaching and Learning Solutions (CLS) at RWTH Aachen University, spoke about AI in assessments, present policies, and new kinds of teaching, learning, and analyzing. In addition, brief presentations shed light on technical, organizational, and didactic concerns surrounding using AI at TU Dortmund University.
Acclaimed Practical Examples
In a poster gallery, TU speakers provided various concepts, principles, and practical examples of making use of AI in mentor. These ranged from supporting individual knowing procedures and further developing job formats to assessing existing assessment formats.
Visitors had the ability to choose the best contributions in a live vote. The winners were granted prize money by the Association of Pals of TU Dortmund University (GdF). First place went to the “AI Standards for Teaching and Studying” of the Institute of Journalism. 2nd place is shared by Dr. Inga Püster with the job “Development and Screening of an AI-Based Assistant for Preparation Cooperative English Lessons” and Tanja Nebel with the contribution “‘I’ll Ask Jonas!’– Custom-made GPTs as Dialogic Knowing Buddies in the Serious Slow Video Game Jam.”