Lectures II: Integrating Generative Artificial Intelligence in University Lectures
The rapid advancement of generative artificial intelligence (AI) presents new opportunities for higher education. This seminar provides practical insights into how AI can be effectively integrated into lectures to enhance teaching and learning experiences. Participants will explore real-world applications and witness live demonstrations of AI-driven tools in a lecture setting.
Key topics:
AI has the potential to revolutionize traditional lectures by acting as a co-lecturer, assisting with research, and facilitating interactive learning experiences. This seminar will address the following questions:
- How can AI be embedded in lectures through AI tools?
- What are the advantages of using an AI avatar as a co-lecturer?
- How can AI record and process spoken content to structure and enhance lecture materials?
- In what ways can AI assist students in solving complex problems within a lecture framework?
- What value does an AI-generated script or lecture offer beyond human delivery?
- How can AI interact with students, pose questions, verify understanding, and adapt its responses accordingly?
- What challenges arise from real-time AI interaction, such as inaccuracies or ambiguity?
Practical Demonstrations and Discussions:
Participants will experience live demonstrations of AI in action, including problem-solving tasks where AI takes the lead, and students interact with its output.
We'll use:
- Presentations from AI Avatars from www.heygen.com
- Dialogue formats with pre-prompted Assistants and with Avatar in "ExamSim" of the UBT: www.zhl-ubt-avatar.de
- recordings of spoken word via MS Teams / ZOOM or Whisper (OpenAI) and summarizings or questions from LLM: e.g. http://copilot.cloud.microsoft
- live dialogues with "Advanced Voice Mode" from OpenAI
- Feedback on student summaries with www.learnassist.de
- Live researching of open questions via www.elicit.com
The seminar will facilitate an open discussion on the variability and quality of AI-generated responses, exploring the didactical implications of heterogeneous outcomes.
Reflection and Future Perspectives:
The session concludes with a critical reflection on the benefits and challenges of AI in university teaching. Participants will be encouraged to share ideas on how AI can be tailored to their specific teaching contexts. By the end of the seminar, attendees will have a clearer understanding of AI’s role in higher education and practical strategies for its effective integration.This seminar offers a hands-on approach to exploring AI in teaching, providing participants with tools and insights to enhance their lectures in innovative and meaningful ways.
Intended Learning Outcomes:
By the end of this seminar, participants will be able to:
- Design and implement AI-supported lecture formats that enhance student engagement and comprehension.
- Develop AI-assisted problem-solving tasks to foster critical thinking among students.
- Utilize AI avatars and chatbots as interactive learning aids in real-time classroom scenarios.
- Construct and refine prompts that optimize AI-generated responses for educational purposes.
- Address ethical and practical challenges associated with AI-driven teaching methods.
- Analyze and compare AI-assisted learning outcomes with traditional teaching approaches.
Lecturer
Paul Dölle is a research associate at the Centre for University Teaching (ZHL) at the University of Bayreuth. His expertise in the field of digital teaching innovations, which he has developed since 2014, is reflected in his management of the university didactics seminar programme. He developed the ExamSim project, an AI-based simulator for oral examination situations that enables realistic examination scenarios using a digital avatar. He was also significantly involved in the application process for the QUADIS (funding volume 4.989 million euros) and XRCampus projects.
In his seminars, he teaches the basics of university didactics, modern teaching methods such as flipped classrooms, AI-supported tutoring systems, interactivity in large groups and the creation and optimisation of teaching and learning videos. He attaches particular importance to a goal- and practice-orientated way of working in an interactive and positive atmosphere. Another focus is on the qualification of tutors and e-tutors.
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 SS25 35DIL AI Lectures |
| Location: |
ZHL der Universität Bayreuth
Universitätsstr. 30, Bayreuth Dieses Seminar findet hybrid-synchron in einem Hörsaal der UBT statt. Raumnummer noch unbekannt. Die Präsenzteilnahme wird dringend empfohlen, weil durch den Face-to-Face-Austausch und die Gespräche in Kaffeepausen eine andere Qualität des Kennenlernens ermöglicht wird. Eine Teilnahme per ZOOM ist möglich. Eine Benutzung von Laptops/Tablets ist vorgesehen, daher bitten wir Sie ein entsprechendes Gerät mitzubringen. Show on Google Maps 
|
| Dates: |
27.06.2025
, 09:00 - 12:00 Uhr
|
| Costs: |
The following attendance fees apply:
|
| Available slots: | 16 slots, thereof 16 available |
| Stufe: | Basic and advanced level |
| Credible hours: |
Area A with 4 operation units Area D with 2 operation units |
My watchlist
There are no seminars on your watchlist.
To book seminars please log in (see above) or register.