AI Campus Hub NRW
The FernUniversität in Hagen, in cooperation with the AI Campus, is responsible for a regional hub for North Rhine-Westphalia, serving as a central point of contact and networking centre on the subject of artificial intelligence and the reuse of the AI Campus’s educational resources at universities. The AI Campus Hub NRW strengthens North Rhine-Westphalia’s position as a centre for higher education and technology through digital learning programmes and community activities. It works closely with the KI:Expertisezentrum.nrw and, amongst other things, provides advisory services as part of the BMFTR project ‘Strengthening AI Competences at Universities’.
North Rhine-Westphalia, Germany's most populous state, is home to a dense network of universities, educational institutions, businesses, and medical organisations. Our goal is to bring these diverse stakeholders together - each with their own interests and questions about AI – to foster exchange and collaboration. In this process, we identify training and continuing education needs and explore how the AI Campus’s learning opportunities can support them.
Are you looking to develop AI guidelines at your university or integrate AI into your curricula? Do you work in HR and want to strengthen your employees’ AI and data skills? Have you already found suitable offers or are there still important aspects missing? Then join the AI Campus Hub NRW. We look forward to your inquiries about collaboration at ki-campus-hub-nrw@fernuni-hagen.de.
Visit the website of the FernUniversität in Hagen for the latest news on the AI Campus Hub NRW.
Romy Wessing is a research associate in the subject area of educational theory and media pedagogy at FernUniversität in Hagen. At the AI Campus Hub NRW, she develops AI Campus learning opportunities and supports universities in NRW in the sustainable integration of target group-oriented AI Campus learning formats. In addition, she connects stakeholders from academia, higher education practice and continuing education in the context of teaching and learning about and with AI by designing and running various community formats.
Data Literacy – Basic Course Data Lifecycle
AI for lecturers: Generative AI in the higher education context
AI competences for university administration: Responsible practice
KI für Alle 1: Einführung in die Künstliche Intelligenz
AI for Everyone 2: Understand, Evaluate, Reflect
Data Literacy - Daten bereitstellen mit Sensoren
Angela Schmitz is Professor of Mathematics at the Faculty of Process Engineering, Energy and Mechanical Systems at TH Köln - University of Applied Sciences. She teaches mathematics, including in the context of data literacy and numerics, and conducts research on issues of mathematics education.
Claudia de Witt is Professor of Educational Theory and Media Education and Vice-Rector for Teaching, Student Studies and AI in Educational Processes at the FernUniversität in Hagen. Her research and teaching focus on education and digitalisation, artificial intelligence in higher education, and the design of innovative digital teaching and learning processes in various educational contexts. She is responsible for the BMFTR project ‘Strengthening AI Competences at Higher Education Institutions’ at the FernUniversität; the focus of which is on strengthening AI skills at higher education institutions in North Rhine-Westphalia through the individual curation of AI Campus learning content and formats, on providing didactic and technical advice in accordance with ethical principles, on the design and implementation of community formats for AI skills in higher education, and on hosting the AI Campus Moodle instances. She also chairs the AI Steering Group at the FernUniversität.