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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 89 · 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.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  2. 2.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  3. 3.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  4. 4.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) test on one group only
  5. 5.Which of these describes how AI works? (a) follows fixed rules (b) handles unseen examples (c) never learns from data (d) does exactly as coded
  6. 6.Which of these is a myth about AI? (a) AI can make up facts (b) AI learns from data (c) confident means correct (d) AI answers need checking
  7. 7.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  8. 8.True or false: “check who is missing” adds to bias. (a) True (b) False
  9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) flagging a new email (d) past weather records
  10. 10.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.True or false: “balance the data” helps reduce bias. (a) False (b) True
  12. 12.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  13. 13.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) copy old unfair choices
  14. 14.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  15. 15.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  16. 16.True or false: “new data for testing” is bad for training a model. (a) False (b) True
  17. 17.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) AI learns from data (d) AI knows everything
  19. 19.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) recommending (d) generating
  20. 20.True or false: “labelled fruit photos” is training data. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  22. 22.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) copies of one photo (d) wrong labels
  23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  25. 25.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) labels added at random (d) wrong labels
  26. 26.Which of these is a fact about AI? (a) confident means correct (b) AI learns from data (c) AI always checks facts (d) long answers are true
  27. 27.🔍 Which is the odd one out? (a) a calculator (b) an AI chatbot (c) an app translating signs (d) an image generator
  28. 28.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) use one group only (d) check who is missing
  30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  31. 31.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  32. 32.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
  33. 33.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) follows fixed rules (d) same steps every time
  34. 34.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  36. 36.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  38. 38.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) recognising (d) predicting
  39. 39.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False

Answer key

  1. a real check
  2. True
  3. uses AI
  4. check who is missing
  5. handles unseen examples
  6. confident means correct
  7. people
  8. False
  9. past weather records
  10. True
  11. True
  12. makes something new
  13. add varied examples
  14. bad for training
  15. a fact
  16. False
  17. False
  18. AI learns from data
  19. recognising
  20. True
  21. old emails marked spam
  22. checking labels twice
  23. one-sided data
  24. adds to bias
  25. many varied examples
  26. AI learns from data
  27. a calculator
  28. no
  29. use one group only
  30. spam
  31. False
  32. artificial intelligence
  33. improves with more data
  34. a simple rule is enough
  35. labelled fruit photos
  36. a simple rule is enough
  37. False
  38. recognising
  39. False
  40. False

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