The digital transformation of student education encompasses not only didactic questions, but also the administrative processes that support the organization, legal framework and operation of studying and teaching. The WG 3 examines how AI-based assistance systems can specifically support university administration – responsibly, based on sound professional expertise and in close coordination with the experts involved.
AI agents can make complex information more accessible, make recurring tasks more efficient and specifically support professionally demanding processes. The objective is to identify potential for workload relief, quality assurance and procedural reliability and translate it into practical solutions – with particular attention to data protection and high user-friendliness. Administration is not understood as a downstream support structure, but as an active part of a future-proof teaching and study operation.
If you have any questions or are interested, please contact Dr. Henning Haschke, Department 3 – Student Education, at: henning.haschke@tuhh.de
The pilot project “Regulations Assistant for Studying and Teaching” is currently at the center of WG 3: an AI-supported assistance system that supports the creation of new and revision of existing General Study and Examination Regulations – for example through structured preparation of drafts, checks for consistency and regulatory gaps, indications of interactions with other regulations and legal framework conditions, and more efficient coordination processes.
The assistant does not replace professional or legal decision-making, but supports the experts involved in a complex field of work: AI as assistance, not as a replacement for professional review. The project is divided into four consecutive phases:
The pilot project is currently in the conceptual and professional preparation phase. The focus is on defining professional and functional requirements, reviewing suitable interfaces, determining hardware and software requirements, and coordinating with subject-matter experts on requirements for the system’s input, processing and output.
The objective of this phase is a robust target vision that meets both professional needs and the technical and organizational framework conditions of Hamburg University of Technology – integrable into existing processes, traceable in use and capable of long-term further development.
| Leadership | Dr. Henning Haschke |
| Objective | AI-based assistance systems for university administration – workload relief, quality assurance, procedural reliability |
| Pilot project | Regulations Assistant for Student Education |
| Timeline | June – December 2026 |