In this workshop series, you will discover how generative AI can support you in planning, developing assignments, and case studies for your teaching. Each session combines a concise introduction with pedagogical models and theories that are useful for prompting in the context of the respective topic. With prompt demos and a collaborative prompt lab where you can experiment with your own topics, followed by a brief reflection with quality checks, you’ll be able to adapt these ideas to your own teaching.

Dates and Topics
- April 8: Planning events with
AI - April 29: Developing
assignments with AI - May 20: Developing cases for case studies, problem- or project-based teaching

Additional topics are available on demand, such as designing rubrics and assessment grids, preparing materials and self-study units with AI, and planning exams/assessments.

Learning Objectives
After the workshop, you will be able
to…- create, test, and adapt purpose-driven prompts for planning,
assignments, and case studies to your teaching contexts.- use key models in a targeted manner (e.g., Constructive Alignment, Backward Design, Bloom/SOLO; Evidence-Centered Design; PBL/CBL)
- ensure quality with clear evaluation criteria (alignment, cognitive level, transparency/fairness, accessibility/UDL).
- Export assignments and quizzes to common formats (e.g., GIFT/Moodle, LaTeX) and link them to
rubrics.- Reflectively communicate the opportunities and limitations of generative AI (bias, copyright, data protection) and use it responsibly.

Notes
This series is intended for collaborative experimentation. Please bring your own teaching topic (module/session), any existing assignments/materials, and access to a generative AI tool (e.g., LibreChat (TUC), Chat-AI (Academic Cloud))