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AI Competence Framework for University Teachers

Artificial Intelligence (AI) is fundamentally changing higher education. Teachers are not only expected to use new tools but also to critically assess their potential, limitations, and implications. The AI Competence Framework for Teachers provides guidance; it is a practical tool designed to help university staff build and expand their AI-related competencies. 

The framework is based on the theoretical AI-Pack model, which extends TPACK and DPACK by describing AI-specific teaching competencies. The framework translates this model into actionable areas and developmental stages tailored to higher education.

It is essential to view and integrate AI's impact and implications in the context of one's academic field. Only then can AI be used in a sound and practical way that meets both the specific needs of a subject area and the broader educational, ethical, and data protection standards.

Resources

Area A: Understanding AI and its Applications

Learn the basics of AI, how it works, and where it's typically used. Reflect critically and apply it in your own field.

What do generative AI technologies and especially Large Language Models (LLMs) mean for teaching?

Introductory Course on AI in Teaching: “UZH KI für die Lehre / AI for Teaching” :  an online, self-paced course available in English and German, offering a foundational introduction to using AI in higher education teaching. Access is limited to UZH teaching staff.  

Area B: Designing AI-Supported Teaching and Learning

Courses & Workshops

Community of Practice

The subcommunity of practice “AI in Higher Education Teaching” organizes different hands-on workshops and events around the topic of AI in teaching and learning. Find an overview of the planned events here. 

Didactica

Didactica is a joint professional development program offered by the University of Zurich and the ETH Zurich, aimed at enhancing the teaching skills of university faculty and staff. These includes the following courses on the topic of AI in teaching and learning:

  • AI in Higher Education Teaching: Fundamentals and Practice
  • Constructive Alignment with generative AI
  • Feedback in the Age of Artificial Intelligence
  • Integrating AI-based tools in teaching and learning