The AI-HED Project is taking the first steps by organizing a two-day training workshop to help university lecturers integrate Artificial Intelligence (AI) into their teaching practices. This hands-on workshop is designed to enhance AI literacy, provide practical experience with AI-based tools, and foster discussions on ethical and pedagogical implications.
Event Details
- Dates: 26 February & 5 March 2025
- Time: 9:00 – 13:00 CET
- Location: On-campus at partner universities, connected via video conferencing
- Who will attend? This first workshop is for higher education lecturers from the AI-HED consortium
Workshop Objectives
- Introduce fundamental AI concepts and tools relevant to education.
- Explore real-world applications of AI in teaching and learning.
- Address ethical considerations and best practices for AI use in classrooms.
- Provide hands-on experience through interactive, gamified sessions.
- Foster international collaboration among lecturers across partner universities.
Participating Universities
This workshop is a collaborative effort between:
- Amsterdam University of Applied Sciences (AUAS) 🇳🇱
- University of Applied Sciences BFI Vienna (UAS-BFI) 🇦🇹
- Polytechnic University of Lisbon (IPL) 🇵🇹
- University of Zagreb (UNIZG) 🇭🇷
What Participants Will Gain
In this workshop, participants will:
- Receive a certificate of attendance.
- Gain insights from expert lecturers in AI and pedagogy.
- Develop practical AI-based teaching methodologies.
- Engage in collaborative discussions with peers from different institutions.
Workshop Agenda
Day 1: Understanding AI in Education (26 Feb 2025)
- Session 1: Introduction to AI & Key Concepts (Prof. Bogdan Okreša Đurić)
- Session 2: AI-Based Tools & Pedagogical Impact (Prof. Markus Schatten)
- Session 3: Ethical & Legal Considerations of AI in Education (TBA)
- Interactive Workshop: Hands-on with AI tools in teaching & learning
Day 2: Practical Implementation & Collaborative Learning (5 Mar 2025)
- Team Projects: Applying AI tools to real-world teaching scenarios
- Attendee Presentations: Sharing insights & lessons learned
- Discussion & Closing Remarks: AI’s future in education