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Pilot Courses at UAS BFI Vienna, Austria
UAS BFI Vienna launches eight pilot courses across business, languages, political science, and management to explore responsible AI integration in higher education within the AI-HED project. Read more
Pilot Courses at Amsterdam University of Applied Sciences, Netherlands
AUAS launches six pilot courses across marketing, business, and language studies to explore responsible AI integration in higher education within the AI-HED project. Read more
Pilot Courses at ESCS, Polytechnic University of Lisbon, Portugal
ESCS launches eight pilot courses across journalism, communication, and multimedia studies to explore responsible AI integration in higher education within the AI-HED project. Read more
Pilot Courses at FOI, University of Zagreb, Croatia
FOI launches four pilot courses across digital transformation, business management, and communication to explore responsible AI integration in higher education within the AI-HED project. Read more
Putting AI to Academic Use
AI won’t replace your academic work—but learning to work with it effectively requires rethinking how you organize research, manage knowledge, and approach your computer as more than just a word processor. Read more
Launch of the AI-HED Pilot Courses: Pioneering the Future of AI in Higher Education
The AI-HED project launches 26 pilot courses across four partner institutions in Europe, involving 32 lecturers and approximately 800 students to explore responsible AI integration in higher education. Read more
AI-HED Project presented at 'U!REKA Connects' in Helsinki
On 22 May, Dietmar Paier and Johannes Wetzinger from the University of Applied Sciences BFI Vienna presented the Erasmus+ project “Artificial Intelligence in Higher Education Teaching and Learning” (AI-HED) at the “U!REKA Connects 2025” event in Helsinki. “U!REKA Connects” is the annual flagship event of the “Urban Research and Education Knowledge Alliance” (U!REKA). U!REKA is a European University Alliance comprising 30 institutions from across Europe, including higher education institutions, cities, regional and district councils, and European networks. This year, the event took place at the Metropolia University of Applied Sciences in Helsinki, Finland, on 21 and 22 May. More than 400 representatives from the U!REKA network participated in the gathering.
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Workshop on Preparation of Pilot Courses successfully held in Vienna
On May 8th and 9th, 2025, the University of Applied Sciences BFI Vienna successfully organized a workshop on the “Development of Pilot Courses”. This two-day event in Vienna was part of the EU-funded project „Artificial Intelligence in Higher Education Teaching and Learning“ (AI-HED) and focused on developing syllabi for innovative pilot courses that integrate Artificial Intelligence (AI) into the teaching and learning process.
In total, 24 syllabi for pilot courses from various disciplines were prepared during the workshop. 39 lecturers and AI-HED team members from the University of Applied Sciences BFI Vienna, the Amsterdam University of Applied Sciences, the Polytechnic University of Lisbon (School of Communication and Media Studies), and the University of Zagreb (Faculty of Organization and Informatics) participated in the international event.
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The Need for Improved AI Literacy in Higher Education
Artificial intelligence (AI) is not just a passing technological disruption—it represents a fundamental shift in how knowledge is created, accessed, and applied. Much like the introduction of calculators or the internet transformed education, AI is redefining the learning landscape. Yet, many higher education institutions remain focused on detecting AI use in student work rather than preparing students to critically engage with it.
Rather than treating AI as a threat to academic integrity, universities should view AI literacy as a core competency essential for the future workforce. AI is reshaping industries from journalism and law to medicine and finance, necessitating a new skill set that includes verifying AI-generated content, recognizing biases, and understanding the probabilistic nature of AI outputs. By shifting from detection to education, universities can ensure that both students and faculty develop the skills to navigate an AI-driven world responsibly, ethically, and effectively.
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