The Fellowship Programme of the AI Campus
The AI Campus Fellowship Programme is aimed at university teachers from all departments who want to bring the future topic of AI into their teaching and are testing the integration of AI Campus learning opportunities for this purpose.
The fellowship programme provides didactic, professional and financial support as well as interconnecting and access to networks,
... to achieve effective integration of learning opportunities of the AI Campus into university teaching
... evaluate the impact of using open educational resources for teaching AI competencies, and
... ensure a connectable knowledge transfer towards these objectives.
The fellowship programme incentivises the further development of university teaching to include digital learning opportunities provided by the AI Campus. The programme runs from December 2020 until the end of the summer semester 2021.
AI Campus selects new fellows
Der KI-Campus vergibt erneut bis zu 15 Fellowships an Hochschullehrende für die Erprobung innovativer Lehrkonzepte zur anwendungsorientierten Vermittlung von KI- und Datenkompetenzen unter Nutzung von offen lizenzierten KI-Campus-Lernangeboten.
Bis zum 13. August konnten sich Hochschullehrende für ein Fellowship bewerben. Aus einer Vielzahl spannender Bewerbungen werden derzeit die neuen Lehr-Fellows ausgewählt.
Das Programm startet im Oktober 2021 und läuft bis Ende September 2022.
The Fellows and Their Projects
Out of 79 applicants, 12 projects from 19 fellows were selected by a jury.
AI in Journalism
Artificial intelligence is already shaping processes and content in journalism. We want to examine this on two levels within the framework of the fellowship: In teaching, we are developing basic scientific and practical features of AI and virtual organisation of newsrooms and media in a cooperative project (with Bayerischer Rundfunk and SPIEGEL) for the Journalism master's programme. In research, we see links to our international DFG project "Innovations in Journalism in Democratic Societies" (runtime 2020–2023). In addition, exciting impulses for further projects will arise in the fellowship network.
AI in Business Education Training for Vocational School Teachers
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.
AI at the Interface of Technology and Law
The project serves to integrate AI Campus offerings into the FUTURE education programme (Freiburg University Education on Technology and Law), providing a close two-way link between the topics of digitalisation and AI and legal subject areas in an innovative and future-oriented teaching. The connection of the AI Campus and FUTURE opens up the chance to further advance both existing teaching and lecture opportunities as well as further teaching and research on AI at the interface of jurisprudence and legal practice in order to expand interdisciplinary knowledge transfer across traditional faculty boundaries.
AI and the Global Governance of Digital Technologies
In the framework of the Digital Constitutionalism Teaching Partnership, students of a seminar in B.A. Political Science will discuss the possibilities and processes of the global governance of digital technologies and the constitutionalisation of the digital space together with fellow students at five European universities. In Bremen, the students will then be introduced to the specific challenges of the governance of AI through the AI Campus course "Launchpad to Fundamental Questions on AI".
AI - Subject Content and Field of Application in Psychology
Following the idea of "learning to learn", machine and human learning processes as well as the possibilities for applying AI in the educational-psychological field are explicitly outlined. With the help of OER offerings, the importance of innovative, professionally relevant content is to be promoted directly at the beginning of studies, and students will be empowered to develop their own competencies in a future-oriented manner, in order to avoid perceiving digital possibilities as an unknown threat but instead recognise and reflectively evaluate the potential support they offer.
AI in English Linguistics for School and Work
The project makes use of two different AI Campus courses. 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.
AI Competence Promotion in the Field of Mechanical Engineering
As part of the teaching fellowship, the "Data Science and Machine Learning in Engineering" module at TH Köln (Cologne University of Applied Sciences) is enriched with material from the AI Campus offering. Employing innovative teaching methods – such as using of Python-based Jupyter notebooks and working in projects – mechanical engineering students build AI competencies. Emphasis is placed on working with real-world engineering data. In parallel, the students' perspective on integrating external material as well as assimilating engineering application examples into the teaching-learning unit is explored.
AI in the Field of Health and Medical Technology
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.
AI in the Geosciences
Geology and computer science - at first glance, for many they do not fit well together. A big motivation for me is to change this view. With the AI Campus Fellowship Programme, there is now an excellent opportunity to expand my own teaching, with aspects that will also become increasingly important for geosciences in the future. In particular, the "Explainable Machine Learning for Engineering" and "Launchpad to Fundamental Questions on AI" offerings can be very well integrated into my teaching. Furthermore, I will adapt or develop content in the format of Jupyter Notebooks and make it available for use as well.
AI in the Field of Public Management
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.