AI Agents for Teaching
Instead of creating yet another PowerPoint presentation for students to passively consume, in this seminar lecturers develop dynamic knowledge databases — structured in Markdown, curated in Obsidian, and indexed by AI agents. The seminar teaches how learning materials can be prepared in such a way that they are not only accessible to students, but can also be meaningfully used, expanded and personalised by language model agents.
The focus is on three interrelated questions: What learning media are feasible and useful today? How do I build a structured knowledge database that is machine-readable and didactically coherent? And how do I deploy AI agents to provide students with the right information at the right time in an adaptive manner?
Learning Outcomes
After the seminar, participants will be able to:
- classify various digital learning resources (Obsidian.md, Quarto, GitHub) and assess their suitability for their subject,
- create their own knowledge database in Markdown format and optimise it for AI agents,
- apply basic principles of the semantic structuring of teaching content,
- set up simple AI-supported learning support without programming knowledge (e.g. using NotebookLM or Claude Projects),
- reflect on the didactic and ethical implications of using AI agents in teaching.
Methods
The seminar combines short keynote presentations with extensive hands-on sessions. From the outset, participants work with their own teaching materials from their subject area - ensuring that the seminar produces results that can be put to immediate use. Group work, peer feedback and a final application phase ensure that the content can be applied effectively within participants’ own teaching contexts.
Your trainer:
Paul Dölle works as a research assistant at the Centre for University Teaching (ZHL) at the University of Bayreuth. His work focuses on the development, implementation and sustainable advancement of teaching and learning in higher education. Since 2014, he has been engaged in digital teaching, higher education didactics and the structured integration of innovative teaching formats across disciplines.
A key area of his work is the further development of teaching practice at the University of Bayreuth. He supports lecturers from a wide range of faculties in the design and implementation of teaching concepts, advises on didactic questions and accompanies teaching-related projects at the level of individual courses and departments.
His expertise includes activating teaching formats such as flipped-classroom approaches, the moderation of small and large learning groups, and the use of analogue and digital methods to foster student engagement. He is closely involved in the training and ongoing support of tutors and e-tutors and works with them in the context of teaching projects at different chairs.
Since 2023, his work has also focused on the use of artificial intelligence in higher education teaching and assessment. He develops and facilitates seminars on the didactic use of AI and explores its potential for designing interactive, dialogue-based learning and examination formats.
In addition, Paul Dölle coordinates the ZHL seminar programme and contributes to the strategic development of the centre’s continuing education offers.
More about Paul Dölle: https://www.zhl.uni-bayreuth.de/de/ueberuns/paul-doelle/index.php
| University: | Universität Bayreuth |
|---|---|
| Seminar host: | Paul Dölle |
| Seminar ID: | ZHL SS26 50DIL agents |
| Location: |
Zapf Haus 1, Projektstudio, Room number 1.1.20 (Basement), Centre for University Teaching at the University of Bayreuth, Bürocenter Bayreuth Süd
Nürnbergerstr. 38, Bayreuth This meeting will take place as a hybrid synchronous seminar. Attendance is strongly recommended, as the face-to-face exchange and the discussions during coffee breaks enable a different quality of getting to know each other. Participation via TEAMS is possible. The use of laptops/tablets is planned, so please bring a suitable device with you. Show on Google Maps |
| Dates: |
31.07.2026
, 09:00 - 14:00 Uhr
|
| Costs: |
The following attendance fees apply:
|
| Available slots: | 12 slots, thereof 8 available |
| Stufe: | Basic and advanced level |
| Credible hours: |
Area A with 6 operation units |
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