Out of 79 applicants, 12 projects by 19 Fellows were selected by a jury. 

In the project, the "Introduction to AI" and "School Does AI" learning opportunities of the AI Campus are implemented in the Business Education master's programme. Against the background of the students' future professional practice, they should develop an awareness of the challenges and opportunities of AI in education as future teachers in the vocational education system and critically reflect on their use. Design options are also developed. Special emphasis is placed on the specifics of vocational education and training. A practical transfer is realised with partners from the vocational training practice.

In this Fellow project, I aim to integrate learning opportunities into teacher training in computer science and other teacher training subjects at the University of Hamburg. This holds particular potential, because teachers are important multipliers. What is more, teachers are consonantly on the lookout for suitable and quality-assured teaching materials. If teachers are offered suitable materials for further use, they can focus better on providing individual support to their students.

In the context of both subject-didactic modules in computer science and in research workshops, I aim to use AI Campus courses for basic subject-specific and methodological training. In particular, I would like to create options for both AI and data literacy in order to prepare students for modern teaching.

The project makes use of two different AI Campus programmes. On the one hand, the "Launchpad to Fundamental Questions on AI" is tested in the non-teaching master's programme, since for these students the professional transitions between digital humanities and English linguistics – which works empirically with digital text corpora – are particularly important. On the other, the "School Does AI" course will be integrated into the doctrine of the teaching master's degree, since AI can play an important role in language education at school, such as in future vocabulary learning programmes. Another goal of the project is to gain experience in the use of OER materials.

In the field of health and medical technology, the use of AI promises great potential, such as the evaluation of medical data for prevention, diagnostics or in clinical assistance systems. Due to its relevance in the profession, one goal is to provide students with competencies in the field of AI. The offerings of the AI campus will therefore be integrated into several courses, like data mining and machine learning, personalised health technologies, information systems in healthcare, digital systems, microcontroller technology, and computer-assisted surgery.

At HAW Hamburg, the Department of Public Management is working with students to develop a training tool for simulating AI deployment contexts. The project teaches interdisciplinary competencies, among other things, for assessing ethical and economic impacts in the digital transformation of public administration. Embedding the learning resources of the AI Campus will support the students of the bachelor's and master's programmes in the self-learning phases and seminars towards acquiring the basic knowledge. In addition, the resources of the AI Campus will enrich my teaching assignments at the Nordakademie and FOM colleges.

AI topics will be anchored as a basic building block in university teaching at BURG on a long-term and sustainable basis. The aim is to strengthen the understanding of the effects and the ensuing artistic and creative concerns of this technology. Students should understand the potential and risk and acquire competence in the application of existing tools as creative collaborators. A special focus lies on the connection with physical processes in space with the help of robotics.