🔍 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

Last modified: Monday, 5 May 2025, 9:24 PM