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Teaching AI Competencies: Conceptual Foundations and Practical Guidance

Foto zweier Prismen, in denen teils gespiegelt und verschwommen Text geschrieben steht. Am oberen Rand steht in gut lesbarer Schrift: "How do large language models work?"

Tailored to: university instructors from all disciplines.

Trainer: Gesine Wegner

Description

Artificial intelligence is increasingly shaping teaching, learning, and assessment practices in higher education. Yet, due to the rapid pace of technological development, it often remains unclear which skills are truly essential for students’ future academic and professional lives. This workshop is designed for university instructors who wish to develop a clearer understanding of AI competencies: what they entail, how they can be assessed, and—most importantly—how they can be taught in a reflective manner.

Drawing on the EU Digital Competence Framework for Citizens (DigComp) and UNESCO’s AI Competency Framework for Teachers, the workshop introduces AI as a cross-cutting component of digital competency. Participants will explore how AI relates to key areas such as information and data literacy, digital content creation, ethical awareness, safety, and critical problem-solving.

Building on this conceptual foundation, the workshop provides practical guidance for responsible and pedagogically sound uses of AI in university teaching. Participants will reflect on concrete teaching scenarios and discuss how to support students in developing AI competencies relevant to their academic and professional futures, while remaining aligned with institutional guidelines and values.

Prerequisite: We kindly ask participants who are not yet familiar with the university’s position on the use of AI in teaching to read the University of Potsdam’s official statement on AI in teaching prior to attending the workshop.

Learning Outcomes

Upon successful completion of the workshop, you will be able to . . .

  • explain AI-related concepts and practices as part of digital competence, in line with the EU Digital Competence Framework (DigComp);
  • identify and reflect on AI competencies relevant for teaching, drawing on UNESCO’s AI Competency Framework for Teachers;
  • make informed decisions about the pedagogical added value of AI in relation to specific learning objectives and teaching contexts;
  • design or adapt teaching and assessment practices that support students in developing critical and reflective AI competencies

Registration for the workshop is open until April 1.

We are committed to making the workshop as accessible as possible. Please let us know what we can do to increase your participation in the event. If you have any questions or comments about the workshop, please contact Gesine Wegner: gesine.wegneruni-potsdamde.

We look forward to your participation and to sharing ideas with you!