~/talk

Accessible Assessment Creation

Talkat AIDC 2024 · 2024-08-03..08-07· [accessibility]
slides:none on file

Claims that well‑written MCQs can be valid, fair and accessible with concrete rules: map learning objectives to item counts (example: 20% of course → 2 of 10 questions), use Bloom levels to match cognitive demand, prefer 3–4 answer choices (science says that’s the sweet spot), avoid none/all of the above and negative phrasing, detect “sore thumbs” and enemies, prefer buttons and audio alternatives, avoid drag‑and‑drop/flashcards in e‑learning and offer quantitative mapping and flexible timing.

AI-written summary · about

  1. 0:00Accessible assessment intro
  2. 1:26Why accessible assessments matter
  3. 2:53Assessment design basics
  4. 4:20Bloom's taxonomy for questions
  5. 6:06Aligning with objectives
  6. 7:10Fair question parts
  7. 9:02Principles for good questions
  8. 10:27Optimal answer choices
  9. 11:55Avoiding sore thumbs
  10. 12:16Removing question enemies
  11. 17:57Multiple choice types
  12. 24:35List and negative phrasing
  13. 28:47True/false problems
  14. 30:33Clear wording guidelines
  15. 32:45Avoiding 'none of above'
  16. 34:52Accessible instructions tips
  17. 37:26Non-accessible types to avoid
  18. 39:11Q&A on design
  19. 40:17Feedback timing & features
  20. 43:13Adult learner resources
  21. 44:59Timed exams & practice
  22. 46:08Corporate alternative assessments
  23. 47:32Gamification & interactions
  24. 48:58Closing remarks
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