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Using AI to Create More Ambitious, Accessible Learning Experiences

taught by: Laura Marshall


Session Summary

Digital accessibility is high-stakes work, and learning designers who care are always looking to improve their practice. This session explores how AI can serve as a collaborator and mentor throughout your design process, helping you create more ambitious, accessible learning experiences while growing and testing your skills.


Description

Learning designers often straddle the line between design and development, blending learning science with technical and creative skills to build experiences that work for learners. Digital accessibility adds another dimension to that work. It's critical, and it might feel intimidating. This session explores how AI can strengthen your work at every stage of the design process, helping you create more ambitious, accessible learning experiences while uncovering your knowledge gaps along the way. You'll see real examples of how AI can help you rethink interactions, offer multiple modalities that feel like equally valued options, and shift the way you approach accessible design from the very start of a project. You’ll also have a chance to try it yourself. Working with real source files, you'll practice prompting AI to improve the accessibility of an interactive learning asset. As a group, we'll then manually test the results to see what AI got right, where it fell short, and what human judgment catches that AI doesn't. You'll leave with hands-on experience partnering with AI on accessibility, a clearer sense of where AI helps and where it can't replace your own expertise, and practical strategies you can apply to your next project.


Practical Skills

  • Participants will learn how AI can support accessible design throughout the entire design and development process, from concept through build to testing.
  • Participants will practice prompting AI to improve the accessibility of interactive learning assets and manually testing the results.
  • Participants will learn to identify where AI-generated output requires human judgment, and develop strategies for integrating AI into their own accessible design process.