Feedback in the Age of AI

Category	Description
Content	Impressive capabilities of modern AI systems like ChatGPT bring great potential for learning but also challenges. Many instructors are unsure how to make use of this potential for their own teaching practices and how to ensure that students achieve key learning goals. This course will provide insights into the latest research on how to design effective feedback using AI. The course focuses on a) how instructors can use AI to enhance their own feedback practices, and b) how they can support their students in engaging in highly effective feedback processes with AI. Underlying these goals is a modern conception of feedback, in which instructors and students both contribute to the value of feedback opportunities. As instructors can improve their own competence in providing valuable feedback using AI, students can be supported in developing their own feedback literacy to make the most of the many new feedback opportunities arising through AI systems. In two practice sessions, we will explore how to facilitate productive and scalable feedback using AI, giving course participants ample opportunity to apply key principles to their own teaching context.
Aims	After attending this course, participants will be able to… … understand key tenets of modern feedback models and theories. … identify strengths and limitations of AI like ChatGPT for feedback. … develop a simple feedback system using AI like ChatGPT for their own teaching context. … systematically involve their students as feedback agents to make the most of feedback opportunities. … identify suitable opportunities to deploy feedback systems using AI like ChatGPT.
Target group	Instructors at UZH, esp. doctoral candidates, postdocs and teaching and research assistants
Requirements	Teaching at UZH Master's degree from an accredited university The courses offered in LEHRE KOMPAKT are open to instructors of all schools and departments. In order to enable all people interested to attend, we may limit the number of participants per school and department if necessary. Please bring your laptop and make sure that you have access to AI Copilot via M365.
Final Award	Confirmation of course attendance
Language	English or German (see "Dates" for details) Please note that this course is held in either German or English. Intermediate-level language skills in the stated course language with regard to understanding, speaking, and reading are required to participate in the program. Contributions and course assessments may be submitted in both German and/or English.
Number of participants	12 participants per event
Duration	1 day, 09:00-17:00
Dates	14.05.2025 (English, on Site)
Lecturer	Prof. Dr. Joshua Weidlich
Registration	Registration Registration is possible up to 14 days before the start of the course
Terms of Participation	With their registration participants agree to attend the entire course. A cancellation after the end of the cancellation period, no-show without indication of unforeseeable or unavoidable reasons or incomplete participation can result in consequences for the participation in other courses (detailed information about the terms of participation).
Fees	Free of charge
Location	On Site
Contact	Continuing Education in University Teaching and Learning UZH E-Mail

Weiterführende Informationen