🔍 Step 1 – Access and Familiarisation


🛠 Step 2 – Application

  • Identify a specific element of your teaching practice that could benefit from a more inclusive approach (e.g., lesson planning, assessment, feedback, group interaction).

  • Use the Assistant to gather insights, resources, or strategies tailored to your context.

  • Implement or simulate a small-scale application of the strategy or tool proposed. Document your reflections, including:

    • What did you try?

    • How did it work?

    • What might you improve?


📤 Step 3 – Sharing: Accessible learning design

Each participant will post a summary or visual outline of a learning experience they have designed using the Inclusive Learning Assistant.

Please include:

  • Brief context (subject, age group, learning need)

  • Your design goal (e.g., increase accessibility, reduce barriers, support neurodiverse learners)

  • How you used the tool in the design process

  • Main inclusive features in your design (e.g., multimodal options, adapted assessment, personalised pathways)

  • Optional: Upload templates, screenshots, slides, or visual diagrams

👉 Post your output in the designated forum or space provided on the course platform.


🤝 Peer review (optional)

Review one or two shared designs by your peers. Offer supportive comments or suggestions that could help strengthen inclusivity in their work.


✅ Outcome

You will leave this task with:

  • A practical example of using AI to support inclusive teaching

  • A shared bank of ideas created with colleagues

  • A reflective understanding of inclusive design principles

Τελευταία τροποποίηση: Δευτέρα, 5 Μαΐου 2025, 9:24 PM