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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 79 · 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.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
  2. 2.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) checking labels twice (d) examples of every type
  3. 3.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting spam (c) suggesting a video (d) writing a new poem
  4. 4.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) correct labels (d) photos in many lights
  5. 5.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) photos in many lights (d) only one kind of example
  6. 6.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) guess (c) pick a lucky number (d) ask it to repeat
  7. 7.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  8. 8.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
  9. 9.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  12. 12.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
  13. 13.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) gives a likely answer (d) follows fixed rules
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  15. 15.True or false: “learns from examples” describes how AI works. (a) True (b) False
  16. 16.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
  17. 17.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  18. 18.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) typing a new spoken word
  19. 19.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  20. 20.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
  21. 21.Which of these is a fact about AI? (a) AI always checks facts (b) AI can mix up numbers (c) AI has real feelings (d) long answers are true
  22. 22.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  23. 23.True or false: “what training builds” is training data. (a) True (b) False
  24. 24.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  25. 25.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  27. 27.True or false: a book app suggesting a story like your last one is AI generating something new. (a) True (b) False
  28. 28.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) True (b) False
  29. 29.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) only one kind of example (d) clear, sharp examples
  30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  31. 31.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  33. 33.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  34. 34.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) correct labels (d) copies of one photo
  35. 35.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  36. 36.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  37. 37.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  38. 38.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  39. 39.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data

Answer key

  1. True
  2. testing on training data
  3. writing a new poem
  4. only one kind of example
  5. photos in many lights
  6. look in your textbook
  7. a fact
  8. False
  9. a real check
  10. spam
  11. to see if it works
  12. text
  13. follows fixed rules
  14. a prediction
  15. True
  16. True
  17. makes something new
  18. past weather records
  19. False
  20. True
  21. AI can mix up numbers
  22. True
  23. False
  24. no, it can be wrong
  25. learn from data
  26. spam
  27. False
  28. False
  29. clear, sharp examples
  30. few child voices in data
  31. a normal program
  32. reduces bias
  33. not AI
  34. correct labels
  35. sorts or predicts
  36. makes something new
  37. True
  38. not AI
  39. True
  40. one-sided data

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