AI4All: LCL Successfully Piloted Workshop 1 – Foundations of Inclusive AI in Teaching Practice
Why Workshop 1 Matters in Activity 2
Workshop 1 represents the first practical step in Activity 2 of the AI4All project. While Activity 1 focused on developing the AI4All Handbook and short-burst training videos, Activity 2 is dedicated to testing these resources in real training environments, translating guidance into practical, replicable teaching practices.
The Luxembourg workshop established a shared foundation for inclusive and ethical AI use in education, allowing participants to develop baseline competences that will be further refined in Workshop 2. It also provided a piloting environment to validate the AI4All workshop framework in a real institutional context, enabling structured feedback for improvements in workshop design, case study development, and broader training resources.
Workshop Title and Focus
Foundations of Inclusive AI in Teaching Practice: Inclusive Prompt Engineering for Accessible Digital Learning Content
The session focused on using prompt engineering to create accessible, inclusive digital learning content while respecting ethical, academic, and institutional standards. Participants explored AI as a supportive and assistive tool to strengthen accessibility-by-design and responsible digital education in higher education and vocational education contexts.
Pedagogical Approach: Workshop Design
The workshop followed the AI4All Framework for Conducting AI-Inclusive Hands-on Workshops, co-developed by XU Exponential University (Germany) and Luxembourg Creative Lab. Rooted in competence-based learning, the session combined short conceptual inputs with hands-on experimentation and reflection.
Key principles included:
- Competence-based learning: Developing transferable skills such as AI literacy, prompt engineering, inclusive content creation, and ethical AI integration.
- Universal Design for Learning (UDL): Accessibility and inclusion were embedded throughout, using multiple means of representation, engagement, and expression.
- Learning-by-doing and micro-iteration: Participants iteratively refined prompts and content through hands-on exercises.
- AI as a learning partner, not a shortcut: Emphasis on transparency, academic integrity, and ethical AI use.
Piloting Goals
The pilot aimed to:
- Test the structure and pacing of the 90-minute workshop
- Validate baseline competence development in prompt engineering, accessibility awareness, and ethical AI use
- Assess transferability across HE and VET contexts
- Capture feedback to refine workshop instructions, exercises, and case study integration
Linking Workshop 1 to Workshop 2
Workshop 1 laid the foundation for Workshop 2, where participants will:
- Advance prompt engineering skills
- Strengthen links to personalized and scenario-based learning
- Co-develop evidence-based AI4All case studies for practical replication
Participant Takeaways
Participants gained:
- Clear understanding of AI’s role and limitations in education
- Practical strategies for responsible AI use
- A repeatable method for writing and refining prompts
- Awareness of accessibility-by-design principles
- Confidence to experiment with AI tools critically in educational scenarios
Next Steps
The AI4All consortium will consolidate pilot insights, refine the workshop framework, and prepare Workshop 2 implementation, ensuring that outputs contribute directly to exemplary AI4All case studies for HE and VET educators.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
