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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 748 · 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 is a myth about AI? (a) AI always checks facts (b) AI can make up facts (c) AI copies data patterns (d) AI can mix up numbers
  2. 2.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) never learns from data (d) handles unseen examples
  3. 3.True or false: “balance the data” adds to bias. (a) True (b) False
  4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  5. 5.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  6. 6.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  7. 7.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
  8. 8.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) does exactly as coded (d) improves with more data
  9. 9.True or false: “confident means correct” is a myth about AI. (a) False (b) True
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  11. 11.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  12. 12.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  13. 13.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  14. 14.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
  16. 16.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  17. 17.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) photos in many lights (d) correct labels
  18. 18.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  19. 19.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  21. 21.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  22. 22.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
  23. 23.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
  24. 24.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  25. 25.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  26. 26.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  27. 27.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
  28. 28.True or false: a phone unlocking when it sees your face is AI recommending something. (a) True (b) False
  29. 29.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  30. 30.True or false: “test on many groups” adds to bias. (a) False (b) True
  31. 31.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  32. 32.True or false: a phone unlocking when it sees your face is AI predicting something. (a) False (b) True
  33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) predicting rain (c) writing a new poem (d) making up a story
  34. 34.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
  35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  36. 36.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  37. 37.True or false: “check who is missing” adds to bias. (a) False (b) True
  38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  39. 39.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) recognising (c) generating (d) recommending
  40. 40.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts

Answer key

  1. AI always checks facts
  2. handles unseen examples
  3. False
  4. to see if it works
  5. it learns patterns
  6. good for training
  7. True
  8. improves with more data
  9. True
  10. spam
  11. uses AI
  12. a normal program
  13. uses AI
  14. False
  15. it may get it wrong
  16. False
  17. labels added at random
  18. False
  19. False
  20. past weather records
  21. True
  22. recommending
  23. True
  24. a myth
  25. not AI
  26. few child voices in data
  27. False
  28. False
  29. bad for training
  30. False
  31. sorts or predicts
  32. False
  33. predicting rain
  34. False
  35. training data
  36. a real check
  37. False
  38. True
  39. generating
  40. makes something new

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