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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 640 · 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.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) use one group only (d) test on one group only
  2. 2.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  3. 3.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
  5. 5.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) gives a likely answer (d) never learns from data
  6. 6.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  7. 7.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  8. 8.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
  9. 9.Which of these describes how AI works? (a) spots patterns in data (b) uses rules people wrote (c) follows fixed rules (d) one set rule per case
  10. 10.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) composing a new tune (d) inventing a recipe
  11. 11.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
  12. 12.True or false: “correct labels” is good for training a model. (a) False (b) True
  13. 13.True or false: an AI chatbot writing a story about a lost kite is AI recognising something. (a) True (b) False
  14. 14.True or false: “never learns from data” describes how AI works. (a) False (b) True
  15. 15.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  16. 16.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  17. 17.True or false: “balance the data” adds to bias. (a) True (b) False
  18. 18.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
  20. 20.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  21. 21.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) old emails marked spam
  22. 22.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
  23. 23.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  24. 24.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new leaf (d) the trained program
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  26. 26.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI learns from data (d) AI always checks facts
  27. 27.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) checking labels twice (d) labels added at random
  28. 28.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  29. 29.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  30. 30.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  32. 32.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  33. 33.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  34. 34.Which of these is a myth about AI? (a) AI is never wrong (b) AI can mix up numbers (c) AI can be wrong (d) AI can make up facts
  35. 35.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  36. 36.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  37. 37.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) drawing a new picture (d) sorting photos by face
  38. 38.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  39. 39.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
  40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False

Answer key

  1. ask different people
  2. a myth
  3. needs AI (learning)
  4. False
  5. gives a likely answer
  6. bad for training
  7. False
  8. uses AI
  9. spots patterns in data
  10. spotting spam
  11. a hallucination
  12. True
  13. False
  14. False
  15. old emails marked spam
  16. a simple rule is enough
  17. False
  18. needs AI (learning)
  19. many labelled photos
  20. more varied data
  21. the trained program
  22. learn from data
  23. False
  24. naming a new leaf
  25. not spam
  26. AI learns from data
  27. labels added at random
  28. False
  29. False
  30. not AI
  31. False
  32. a fact
  33. a fact
  34. AI is never wrong
  35. False
  36. True
  37. drawing a new picture
  38. uses AI
  39. False
  40. False

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