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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 941 · 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 is the odd one out? (a) drafting a letter (b) unlocking with a face (c) making up a story (d) writing a new poem
  2. 2.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
  3. 3.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  4. 4.Which of these is a myth about AI? (a) AI can be wrong (b) AI can mix up numbers (c) AI always checks facts (d) AI learns from data
  5. 5.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
  7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
  8. 8.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) correct labels (d) very few examples
  9. 9.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  10. 10.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) ask different people (d) fix wrong labels
  11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  12. 12.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
  13. 13.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  14. 14.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
  15. 15.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  16. 16.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  17. 17.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking
  18. 18.True or false: “labelled fruit photos” is training data. (a) True (b) False
  19. 19.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  21. 21.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI can make up facts (d) long answers are true
  22. 22.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
  23. 23.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  24. 24.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  25. 25.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  26. 26.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
  27. 27.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
  28. 28.Which of these is a fact about AI? (a) AI learns from data (b) AI knows everything (c) AI always checks facts (d) AI is never wrong
  29. 29.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) text (c) an image
  30. 30.Which of these describes how a normal program works? (a) handles unseen examples (b) same steps every time (c) gives a likely answer (d) spots patterns in data
  31. 31.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  32. 32.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  33. 33.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  34. 34.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  35. 35.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recommending (c) recognising (d) predicting
  36. 36.Which of these uses AI? (a) a light switch (b) a doorbell (c) an image generator (d) a digital watch
  37. 37.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  38. 38.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI can be wrong (d) AI has real feelings
  39. 39.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) photos in many lights (d) many varied examples
  40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True

Answer key

  1. unlocking with a face
  2. True
  3. False
  4. AI always checks facts
  5. the trained program
  6. False
  7. bias from data
  8. very few examples
  9. True
  10. add more of the same
  11. more varied data
  12. True
  13. True
  14. look in your textbook
  15. balanced data
  16. True
  17. recommending
  18. True
  19. False
  20. recorded spoken words
  21. long answers are true
  22. True
  23. good for training
  24. a normal program
  25. True
  26. text
  27. it may get it wrong
  28. AI learns from data
  29. an image
  30. same steps every time
  31. True
  32. False
  33. True
  34. False
  35. recommending
  36. an image generator
  37. needs AI (learning)
  38. AI can be wrong
  39. labels added at random
  40. False

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