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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 142 · 40 questions
TalentJR

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

NameDateTime takenScore ___ / 40
  1. 1.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) recommending (c) predicting (d) generating
  2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  4. 4.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) balance the data
  5. 5.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  6. 6.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  7. 7.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) checking labels twice (d) very few examples
  8. 8.Which of these uses AI? (a) a fan regulator (b) a voice assistant (c) a printed timetable (d) a light switch
  9. 9.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
  10. 10.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  11. 11.True or false: “examples of every type” is good for training a model. (a) False (b) True
  12. 12.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting a sick leaf (c) turning speech to text (d) making up a story
  13. 13.True or false: “labelled fruit photos” is training data. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) test on many groups
  15. 15.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  16. 16.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
  17. 17.Which of these helps reduce bias? (a) balance the data (b) copy old unfair choices (c) add more of the same (d) test on one group only
  18. 18.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI always checks facts (d) AI learns from data
  19. 19.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  20. 20.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  21. 21.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  22. 22.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  23. 23.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
  26. 26.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  28. 28.🔍 Which is the odd one out? (a) suggesting a video (b) making up a story (c) drafting a letter (d) drawing a new picture
  29. 29.True or false: “ask different people” helps reduce bias. (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  31. 31.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) testing on training data (d) many varied examples
  32. 32.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  35. 35.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
  36. 36.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) sleeping (d) singing
  37. 37.True or false: “ignore complaints” adds to bias. (a) True (b) False
  38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  39. 39.True or false: “improves with more data” describes how AI works. (a) True (b) False
  40. 40.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact

Answer key

  1. generating
  2. adds to bias
  3. spam
  4. test on one group only
  5. sorts or predicts
  6. uses AI
  7. checking labels twice
  8. a voice assistant
  9. False
  10. False
  11. True
  12. making up a story
  13. True
  14. test on many groups
  15. False
  16. the trained program
  17. balance the data
  18. AI learns from data
  19. makes something new
  20. a real check
  21. needs AI (learning)
  22. makes something new
  23. a fact
  24. a prediction
  25. few child voices in data
  26. True
  27. adds to bias
  28. suggesting a video
  29. True
  30. adds to bias
  31. testing on training data
  32. a simple rule is enough
  33. what training builds
  34. reduces bias
  35. makes new content
  36. predicting
  37. True
  38. True
  39. True
  40. a fact

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