Teaching and learning with AI: using Generative AI responsibly in university teaching

AI tools are reshaping higher education at unprecedented speed. ChatGPT, Claude, Gemini, Grok, and DeepSeek are already in the hands of your students — the question is no longer whether AI is present in your classroom, but how you harness it intentionally.
This workshop gives you practical strategies, hands-on experience, and a space to reflect. You will explore how to integrate generative AI into your teaching, guide your students to use it critically and responsibly, and redesign your courses and assessments for an AI-enabled world.

What you will learn

• Integrate AI chatbots and tools purposefully into your courses
• Master prompt engineering — write effective, discipline-specific prompts
• Build Custom GPTs and configure AI tools for your teaching needs
• Work with AI for text, audio, and video content in learning design
• Understand how generative AI works — and why it sometimes gets things wrong
• Assess the impact of AI on student learning processes and adapt your learning objectives
• Design assessments that remain meaningful and robust in an AI-enabled environment
• Develop strategies to guide students in responsible, reflective AI use
• Apply current didactic models (e.g. Flipped Classroom, AI tutoring) to your own teaching context

In this seminar, we will discuss a broad thematic map covering the many aspects of integrating AI applications into teaching. You will receive many ideas for working with text, audio and video. We will work out how to develop good commands for chatbots (prompt engineering), build CustomGPTs and much more. We will discuss how the new possibilities can be integrated responsibly into teaching. We will ask ourselves what impact the new software has on teaching, the learning process of students and the forms of examination. We will work on integrating artificial intelligence into teaching.
The seminar offers plenty of room for discussion and questions. You are invited to actively participate and contribute your ideas and experiences. In this way, we want to work together to develop effective strategies for fully exploiting the possibilities of using ChatGPT and other tools.

You will receive the necessary technical access data and work assignments in good time before the event begins.

Key Tools We Work With

• LearnAssist  (learnassist.de) -> AI-powered learning support and formative feedback for students
• ExamSim - AI avatar simulator for oral exams and communication training; enables realistic exam scenarios with immediate feedback
  
• Academiccloud - german hosted Open Source LLMs (www.academiccloud.de) 
• Alongside these platforms, we work hands-on with leading AI chatbots (ChatGPT, Claude, Gemini, Grok, DeepSeek, Copilot) and explore how they compare and complement each other in 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