The aim of the workshop is to share practical experiences and solutions on how generative AI (GenAI, ChatGPT) can be used to support teaching and learning at the university. I will introduce practices from my course “Fundamentals of Research Work”, where ChatGPT functions both as a quick end-of-class support tool and as a resource for students’ independent revision and learning. Participants will be introduced to specific didactic techniques, student guidelines, creating in-class quizzes, and designing assignments with the help of GenAI. In addition, I will share experiences from my extended syllabus, including student questions and discussions about the role of GenAI. Participants will gain both new ideas and ready-made practical examples that can be adapted for teaching in their own courses.

Learning outcomes:

  1. Understand how to use GenAI as a short, interactive tool for concept review at the end of a class.
  2. Be able to design student guidelines for independent use of GenAI in learning and revision.
  3. Gain an overview of different active learning methods that can be combined with GenAI (e.g. pair discussions, panel debates, speed-dating style exams, etc.).
  4. Learn to design and adapt quizzes with ChatGPT, and understand the related didactic considerations.
  5. Be inspired to include GenAI in their course syllabus and to address student feedback and questions about its use.

Connection to the DigiComp 3.0 framework: The workshop contributes to developing participants’ skills in “Use and apply AI” and “Evaluate and create AI”, supporting the development of practical abilities to apply AI as well as the capacity to critically evaluate and design AI-based solutions.