This 2.5-day seminar brings together teacher educators from across Europe to explore the pedagogical and ethical implications of Generative AI in teacher education.
Through hands-on workshops, participants will collaborate, reflect, and co-construct guidelines and resources that can inform the training of future teachers across different educational contexts.
PARTICIPANTS: Teachers, researchers, and educators from European Faculties of Education
PROGRAMME
Pre-Seminar Online Kickoff (May 6 2026, 14-16 CET)
Format: 2-hour virtual session
Topic: welcome and sharing practices, thematic group formation
- Introduce participants and share GenAI-related experiences
- Map current challenges, opportunities, and institutional expectations
- Select thematic focus areas for collaborative work
Agenda:
- Welcome & Introductions – 10 min.
- Icebreaker – 10 min
- Topic presentation – World café format with interactive board – 1h 20 min
Sharing Practices & Challenge, expectations toward different topics - Lesson Planning & Materials development
Teaching teachers how to create lesson plans and materials with AI - AI in Learning Activities
Driving teachers to implement AI in their classes through AI-integrated learning activities - Assessment
Educating teachers to incorporate AI in formative and summative assessment - Plenary wrap up – 20 min
Note: Ethical considerations (bias, transparency, data privacy, teacher agency) will be addressed transversally across all thematic groups.
Day 1 (May 18): Understanding AI and Framing Ethical Responsibilities
14.00 – 17.00 (Hybrid is possible)
14:00 – 14:15 Welcome and Opening
Faculty of Education Dean Agnes Perrin Doucey
AI for teaching and learning VP David Cassagne
14:15 – 14:45 Speed dating activity
14:45 – 15:30 Facilitated Input – 45 minutes
GenAI Impact on teaching and learning practices and comparison of universities’ approaches
by David Cassagne AI vice president in charge of teaching and learning and Nancy Rodriguez
Coffee Break
15:30 – 17: 00 Parallel sessions
- Interactive workshop: Landscape of AI and prompting practice
Hands-on practice with diverse AI (e.g. ChatGPT, Copilot and other). Linked with the 3 focus areas
Facilitated by Yuanfei Huang (+ 1 person from DSIN)
- Ethical considerations in AI integration
Exploring bias, transparency, data privacy, dependency, and deprofessionalization. Linked with the three focus area.
Advanced workshop: future thinking exercise >> how will it be in 2040?
Facilitated by Annet van der Riet
Day 2 (May 19): Understanding different perspectives and integrate the student voice
9:00 -12.30:
Facilitated Input – 45 min
“Supporting Literary Writing with GenAI: A Study of the Transposition of Informal Uses into Literature Classes in Secondary Schools, University, and Teacher Education”
Speaker: Sandrine Bazile, University of Montpellier
STEP 1: Group Work by Focus Area
Share examples related to the input of the lecture.
- Lesson Planning & Materials development – facilitator David Durant
- AI in Learning Activities – facilitator Vanessa Vigano
- Assessment – facilitator Annet van der Riet
STEP 2: Let’s co-create!
Dos and donts and advice
- Lesson Planning & Materials development – facilitator David Durant
- AI in Learning Activities – facilitator Vanessa Vigano
- Assessment – facilitator Annet van der Riet
Plenary wrap up (max. 30 min)
Lunch – 12.30 to 13.30
13.30 – 16.30:
Facilitated Input – 45 min:
“The Uses of AI by Students and How It Affects Learning Processes” Speaker: Aurélie Bourdais, University of Montpellier
STEP 3: Student Voice Panel, Local students share their perspectives on AI in their future teaching practice. Integrating student perspectives in what was co-created in the different focus areas:
- Lesson Planning & Materials development – facilitator David Durant
- AI in Learning Activities – facilitator Vanessa Vigano
- Assessment – facilitator Annet van der Riet
Plenary wrap up (max. 30 min)
Day 3 (May 20): Building Towards Shared Guidelines for Teacher Education
9:00 – 12:00
Input Session: “Training Future Teachers on AI: The Bergen Example”
Speaker: Kenan Dikilitas, University of Bergen
A practical case study of integrating AI literacy into teacher training
9:00–9:45 Kenan presents the Bergen experiences and the different approaches to using AI.
9:45–10:00 STEP 4 Integrate AI in your pedagogical practice
Individual review of your own pedagogical scenario – facilitaed by Yuanfei HUANG
10:00–11:00 (Facilitated by Fei and Kenan)
Group work: form groups based on shared interests. Each group (3 people + 1 AI agent) will design three main components:
- Lesson planning & materials development (ex. Guidelines for students)
- Use of AI in learning activities
- Assessment strategies when using AI in pedagogical activities
11:00–11:45
Sharing of group designs and discussion of questions.
11:45–12:00
Wrap-up. (Vanessa, Annet and David can share their comments)
Finishing co-creation of day 2 OR Creating Guidelines: how to train people on AI in relation to:
- Lesson Planning & Materials development – facilitator David Durant
- AI in Learning Activities – facilitator Vanessa Vigano
- Assessment – facilitator Annet van der Riet
12:30 – 13:30 Lunch
13:30 – 14:30
- Gallery Walk & Group Feedback 1h
- Next Steps Planning 15 min (David Durant)
- Closing Session & Farewell 15 min (David Durant)