TUHH: WG4

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WG 4 – Cool Tools for Teaching Staff

What is it about?

Working Group 4 addresses the question of how AI tools can support teaching staff in preparing, conducting and evaluating their courses. To this end, WG 4 integrates and tests AI-supported tools, develops supporting materials and opportunities for exchange to support teaching staff in the practical use of AI, and develops didactic points of orientation for contemporary teaching. Another focus is assessment: the effects of AI on examination formats are considered and draft amendments to the associated legal framework are developed.

If you have any questions or are interested, please contact Katrin Billerbeck, Centre for Teaching and Learning (ZLL), at: katrin.billerbeck(at)tuhh(dot)de

Objectives & Approach

Three objectives are being developed in parallel: a concrete software pilot (simultaneous interpreter), suitable didactic framework conditions, and examination scenarios against the backdrop of increasing AI use in teaching.

Phase 1: Define Didactic and Technical Setting

Document (didactic) framework conditions, e.g. accessibility, inclusion, diversity sensitivity
Implement, document and test initial technical features in software and make them available in GitLab for further development

Phase 2: Testing and Deriving (Further) User Stories

Involve relevant stakeholders and derive further user stories from different perspectives, which are discussed, among other things, in the pilot from Phase 1

Phase 3: If Necessary, Adaptation of the Pilot to Fulfill AI Policies

Develop documentation for users
Guide the pilot through the AI policy review process (WG 1) and make necessary adjustments
Prepare migration to a TU server

Phase 4: Test in a Real Course

Test the pilot in real-world use
Document and evaluate observations

Phase 5: Further Development of the Prototype Based on Feedback from the Course (WiSe 26/27)

Collect feedback from teaching use and further develop the prototype throughout the semester
Expand or hand over the technical implementation as needed

Phase 6: Reflection Phase Based on the Experience Gathered to Develop Didactic Points of Orientation for Contemporary Teaching Despite, With and Through AI

Didactically contextualize the accumulated own and empirical experience
- empirical strand: incorporate existing empirical findings from research and practice
- practical strand: evaluate observations from the pilot deployments
Develop didactic points of orientation for contemporary teaching despite, with and through AI

Current: AI-Supported Simultaneous Interpretation in Courses

In July 2026, a pilot was developed that can transcribe and translate spoken language in German and English in real time. It can also output the translated content in audio form.

The pilot can be used for both in-person presentations and online conferences with multiple participants. Videos played back can also be provided with subtitles in real time.

The software currently runs locally on a high-performance laptop and is designed for TUHH-owned servers.

Leadership	Katrin Billerbeck
Objective	Integration of AI tools for the preparation, delivery and evaluation of teaching
Pilot project	AI-supported simultaneous interpretation in courses
Timeline	June – December 2026