Day of Teaching 2026

BEYOND THE PROMPT

What AI can do. And what education must remain.

Generative AI has become part of everyday university life and challenges us to rethink teaching and learning. It opens up new opportunities to actively shape higher education. This raises a central question: Which skills do universities need to foster so that students and staff can not only use AI effectively, but also help shape its development and use responsibly?

In its current recommendations, the German Science and Humanities Council highlights the importance of “intellectual sovereignty”: the ability to form independent judgements, reflect critically and resist oversimplification. In the age of generative AI, AI literacy alone is not enough.

Universities need to create spaces where students and teaching staff can not only use AI, but also understand its possibilities and limitations, make informed decisions about its use, and actively contribute to shaping an increasingly algorithm-driven society.

The TU Hamburg Day of Teaching 2026 invites you to explore this future together. Under the motto “Beyond the Prompt”, the programme combines practical insights into AI applications, tools and good practices with discussions about their impact on teaching, learning and university administration.

The focus is not only on what the technology can do, but also on the skills, attitudes and learning cultures needed for a reflective and responsible use of AI in higher education.

SAVE THE DATE

Day of Teaching 2026

Thursday, 12 November 2026 | 
12:00–17:00

Hamburg University of Technology, Building H

Register now via our online registration tool!

Programme

Look forward to a diverse programme featuring a range of workshops and a Market of Opportunities focusing on AI.

12:00–12:45 | Arrival & Networking over Lunch (Please register)
Foyer, Building H

Start the day with a shared lunch and take the opportunity to connect with colleagues and other participants. Registration helps us plan the catering.

 

12:45–13:00 | Welcome
Room H – 0.16

Official opening of the Day of Teaching and introduction to the programme.

 

13:00–13:30 | Keynote by Prof. Kiener
Room H – 0.16

Prof. Dr. Maximilian Kiener (Head of the Institute for Ethics in Technology, TUHH) opens the Day of Teaching with a keynote entitled “Beyond the Prompt: A Map of Thinking and Learning between Humans and AI.”

Prof. Dr. Maximilian Kiener is Professor of Philosophy and Ethics of Technology at Hamburg University of Technology (TUHH), where he heads the Institute for Ethics in Technology. He specialises in moral and legal philosophy, with a particular focus on consent, responsibility and the ethics of artificial intelligence. He is also a Research Fellow at the Uehiro Institute at the University of Oxford. Kiener studied philosophy at the University of Oxford, where he obtained his BPhil and DPhil (PhD). In addition to his academic research, he advises policymakers and industry partners on ethical issues, including digital communication, medical ethics and responsible artificial intelligence.

13:45–15:15 | Workshops
Rooms H – 0.01 to H – 0.08

Workshop 1 | ZLL: Teaching & Learning with AI Tutoring Systems – Exploring Opportunities for Design

How can teaching staff support students in learning with AI tutoring systems? How can these systems be used effectively from an educational perspective, and what options are available when configuring them?

The workshop provides an introduction to the basic structure of customised AI tutoring systems, presents a practical example from engineering education and offers space to discuss potential applications in your own teaching.

To assess and design the effective use of AI tutoring systems for learning, we will use insights from teaching and learning research as a framework.

 

Workshop 2 | University of Göttingen: From Statistics to Art History – The AI Tutor GAIA in Practice

As part of the StIL-funded Lehrarchitektur programme, the University of Göttingen is developing GAIA, an AI tutor that enables individual learning pathways and supports students through dialogue. A key focus is close collaboration with teaching staff to ensure that GAIA provides the greatest possible benefit for students.

In the winter semester 2026/27, GAIA will enter its pilot phase in seven courses. The presentation introduces the project and its integration into the Lehrarchitektur funding programme, highlights key development challenges and provides an introduction to the GAIA interface. There will also be time for questions, exchange and discussion.

"GAIA" Göttingen

GAIA - Georg-August-Universität Göttingen

Workshop 3 | AI in Education: AI for Study and Examination Regulations – Putting the Regulations Assistant to the Test

How can AI meaningfully support university administration? The AI Working Group “University Administration” presents its work as part of TU Hamburg’s university-wide AI initiative, in which six working groups are developing and testing AI applications for different areas.

The workshop provides insights into the current state of the project and introduces the pilot of an AI-supported Regulations Assistant. Using this example, participants will discuss the potential of generative AI for administrative processes as well as the legal, ethical and organisational conditions for its use in university administration.

Workshop 4 | Axel Dürkop: Fly AwAI with Me

Students invite you to take a flight over their AI learning landscape. Join them as a co-pilot.

Meet a student from TU Hamburg and spend half an hour talking about learning in the age of AI. The student is the pilot, and you are the co-pilot. Before take-off, you will receive your flight route in the form of a prompt to enter into a chatbot. Then your journey begins: How is generative AI changing the way students learn? And how is it changing teaching?

Of course, your flight does not have to stay on the chatbot’s planned route. In an open and trusting conversation, you might take a few loops along the way. Your student pilot may share further tips and strategies for learning with AI – and their own expertise and experiences.

Terminal: Building H
Flight attendant: Axel Dürkop
Languages: German and English

15:15–16:00 | Coffee & Market of Opportunities: “AI at TU Hamburg”
Foyer, Building H

Discover projects, practical examples and AI initiatives from TU Hamburg and external partners. The Market of Opportunities provides space for conversation, networking and inspiration.

 

16:00–16:45 | Fishbowl Discussion
Room H – 0.09

Under the title “And What Remains Our Responsibility?”, representatives from different groups across TU Hamburg will join the audience to discuss the opportunities, limitations and future perspectives of AI in teaching, learning and university organisation.

The discussion will be moderated by Astrid Bueltemeier (Career Center).

 

Connecting Across Universities

We are pleased to welcome colleagues from other universities to the Day of Teaching, including the University of Hamburg, the University of Göttingen and Leuphana University.

The event provides an opportunity to share experiences and perspectives across institutional boundaries. With exciting AI projects emerging at many universities, it is increasingly important to learn from one another, identify synergies and explore opportunities for future collaboration.

Fly AwAI with Me – Looking for Pilots and Co-Pilots! ✈️

How do students use AI for learning – and what does this mean for teaching?

At the Day of Teaching on 12 November, we will bring students and teaching staff together for a 15–30-minute one-on-one conversation. A prepared prompt will get the conversation started. From there, you can share your experiences: How do you use AI? What helps you learn? What are the challenges? And what can students and teaching staff learn from each other?

We are looking for students as pilots and teaching staff as co-pilots. No special AI knowledge is needed – your own experience is enough.

Ready to take off? Contact Axel Dürkop: axel.duerkop(at)tuhh(dot)de

Organisation Team

Dr. Antonia Gohr
Abteilungsleitung Studium und Lehre
Laura Muske
Referentin für flexibilisierte Studienstrukturen