Guide Students to use AI - AI-Enhanced in Anthropology Teaching [DiL]
"How do we guide students to use AI in our seminars?" This is the question being discussed in many higher education teaching seminars. Many of us are already seeing the problems that arise when we don't answer this question, in poor papers when students use AI unreflectively and we maintain the existing framework conditions of the course. In this higher education teaching seminar, we address the topic of how to guide students to use AI reflectively in our courses. Of course, it's important that we ourselves have a fundamental understanding of the software and its possibilities in order to provide students with a good foundation and achieve the actual goal of guiding them to reflective use. The seminar itself represents a didactic model concept for this purpose. In it, we try out a useful schedule that you can use to guide your own students. It already includes information, processing and reflection steps.
Detailed schedule:
In the seminar, we will experience an intensive session together where we will:
- Collaborate on an online whiteboard platform (www.mural.co)
- Receive a basic introduction to AI and Large Language Models (LLMs):
- What is AI and how do LLMs basically work?
- Brief historical overview and current developments
- Guide students to intensive thinking and exchange in small groups using the Think-Pair-Share method
- Productively and creatively test the possibilities and limitations of AI in one's own field together, with a special focus on application scenarios in the humanities
- Practice critical thinking and fact-checking:
- How to verify AI-generated information?
- Importance of citations and scientific integrity
- Conduct practical exercises on AI use:
- Hands-on experiences with various AI tools
- Comparison of different LLMs and their strengths/weaknesses
- Discuss ethical aspects of AI use:
- Copyright, data protection and privacy
- Responsible handling of AI-generated content
- Discuss interim results together and reflect on the insights
- Conceptualize an individual transfer plan to one's own teaching, including the design of AI-integrated courses:
- Concrete examples for integrating AI into courses
- Development of assessment criteria for AI-supported work
- Provide an outlook on future perspectives:
- Future developments in AI
- Discussion on long-term impacts on education and research
- Conduct a lightning round to conclude the seminar
- Provide resources and further information:
- Recommendations for in-depth literature and online resources
- Information on relevant workshops or conferences
This didactic approach is transferable to many situations with students with various possibilities for variation. Follow-up seminars are very welcome to be arranged with the ZHL.
Prerequisites and what to bring:
You can participate in the seminar without technical prerequisites.
You should have access to a Large Language Model. Initially, the UBT access with bt credentials via copilot.microsoft.com is sufficient.
Please bring a laptop with a full battery.
Target group:
This seminar is designed for the professorships in Social and Cultural Anthropology. Their academic staff are planned for participation. Others can also participate after consultation. Please contact us if there is a need for clarification here.
Implementation form:
The hybrid workshop is planned for 10 people. Participation via ZOOM is possible. However, in-person participation at the ZHL is recommended as support is possible there.
Your instructor:
Paul Dölle will conduct the seminar with you. He is a research associate at the Center for Teaching and Learning in Higher Education (ZHL). He has been interested in digital teaching-learning resources since 2014 and conducts seminars on "digital" topics and many aspects of higher education didactics. The most important topics in his portfolio are flipped classroom, activating students with analog and digital means, moderation of small and large groups, training of tutors and e-tutors. He is part of the monitoring group of the project "Improving Quality in Digitally Supported Teaching". Since 2023, he has been giving seminars on the use of AI in teaching. He organizes the ZHL's seminar program.
More about Paul Dölle: https://www.zhl.uni-bayreuth.de/de/ueberuns/paul-doelle/index.php
| Universität: | Universität Bayreuth |
|---|---|
| Seminarleitung: | Paul Dölle |
| Seminar ID: | ZHL WS2425 15FS AI |
| Ort: |
Center for Teaching an Learning at the University of Bayreuth (Zentrum für Hochschullehre, ZHL)
Nürnbergerstr. 38, Bayreuth This seminar takes place hybrid and is organized by means of ZOOM. You can either come to the seminar room or participate online. Attendance is strongly recommended. You also get access to coffee, tea, pastries and water. Room 4.2.12-13 Auf Google Maps anzeigen 
|
| Termine: |
22.11.2024
, 09:00 - 12:30 Uhr
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| Kosten: |
Es fallen folgende Teilnahmegebühren an:
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| Verfügbare Plätze: | 10 Plätze, davon 2 frei |
| Stufe: | Grund- und Aufbaustufe |
| Anrechenbare Stunden: |
Bereich A mit 3 Arbeitseinheiten Bereich D mit 1 Arbeitseinheiten |
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