KIKomp: hands-on training program on AI skills for educators

How can you incorporate AI into your teaching in a didactically meaningful way?

The KIKomp training program supports you with practical materials, best-practice examples, and concise learning modules—making the use of AI in teaching flexible and easy to implement directly in your classroom.

For more information visit https://www.lehre.fau.de/kikompetenzinderdigitalenbildung/

The KIKomp training program includes practical microlearning modules that cover fundamentals, pedagogy, exam design, media production, and best practices. They can be completed flexibly and independently, without fixed deadlines, and are applicable across disciplines and universities. The microlearning modules impart the skills needed to integrate AI tools specifically into teaching, learning, and assessment scenarios, design personalized learning, support assessment processes, further develop exam formats, and produce media with AI as a co-creator. Ethical and data protection issues are also addressed.

The training courses are available on StudOn.

In addition, live seminars and co-creation labs offer opportunities for networking, sharing experiences, and building a community – in a practical and interactive way.

In video interviews and through examples of best practices, university faculty and AI experts share their experiences and successful use cases.

Initial results from the “AI in Teaching” survey show which AI applications are already being used successfully at FAU, where faculty and students need support, and which conditions foster the productive use of AI. The full evaluation will be available starting in late April 2026.

About the Project

In the KIKomp project – AI Competence in Digital Education (April 2024 to March 2026), funded by the Foundation for Innovation in Higher Education (StIL) – the FAU Center of Excellence for Teaching developed a seminar series for instructors, a modular toolkit, open exchange formats, and research on support needs related to AI in education. The learning materials and findings can be applied across disciplines and universities. This project is funded as part of the “Freiraum 2023” program.