“First we shape our tools, then they shape us,” says John Culkin (media critic and educator). The rapid development of artificial intelligence (AI) poses new challenges for teaching and assessment in higher education. At a time when students can leverage the capabilities of AI, it is crucial to ensure that they not only use AI as a tool but also have an understanding of and control over its outcomes, and that they learn to use these technologies responsibly and purposefully.

So how can we ensure that students use AI consciously and purposefully, rather than viewing it as a black box? What types of assignments are suitable for fostering students’ understanding and control of AI—and for later assessing that understanding? What significance does AI have for my field, and what developments can be anticipated here? What practical skills should I prepare my students for within the context of my teaching? Finally, what opportunities do I have within my course to do this effectively? How can we design teaching and exams so that students formulate their results in their own words and reflect on and illustrate their thought and work processes? How might we also integrate reflection on the possibilities and limitations of artificial intelligence and its societal impacts directly into the exam situation? 

These and similar questions are at the heart of this seminar. We will explore how to meaningfully integrate the possibilities of AI into teaching and design appropriate exams, which formats might be particularly suitable for which goals, or how to make good use of existing exam formats to ultimately achieve our goals in a reliable and, at the same time, administratively efficient manner.

Please note: this event is not an “AI tool training” session, but focuses on didactics, particularly media didactics—that is, teaching, learning, and assessment. Feel free to bring materials from your own course to work on during the session.

Contents:

• AI between technology, one’s own discipline, and pedagogy
• AI, humans, consciousness, and responsibility: Current requirements for action in dealing with AI
• DigComp 2.0 from the European Commission
• Media literacy, media reflection, reflection on learning and work processes
• Possibilities and limitations of assessment methods when using AI