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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 611 · 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: “naming a new leaf” is a prediction. (a) False (b) True
  2. 2.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  4. 4.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  5. 5.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  6. 6.🏷️ 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
  7. 7.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  8. 8.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
  9. 9.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) making up a story (d) sorting photos by face
  11. 11.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  12. 12.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
  13. 13.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  15. 15.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  16. 16.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  17. 17.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  19. 19.True or false: “the learned patterns” is the model. (a) False (b) True
  20. 20.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  21. 21.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  24. 24.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting spam (c) making up a story (d) sorting photos by face
  25. 25.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
  26. 26.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  27. 27.Which of these is not AI? (a) photos grouped by face (b) an image generator (c) a microwave timer (d) voice typing
  28. 28.🏷️ 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
  29. 29.True or false: “typing a new spoken word” is training data. (a) False (b) True
  30. 30.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) does exactly as coded (d) makes a best guess
  31. 31.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
  32. 32.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
  34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  35. 35.Which of these is not AI? (a) a calculator (b) voice typing (c) a spam filter (d) a map predicting traffic
  36. 36.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI copies data patterns (d) long answers are true
  38. 38.True or false: “a cartoon of a dancing elephant” asks for text. (a) False (b) True
  39. 39.Which of these describes how AI works? (a) improves with more data (b) never learns from data (c) same steps every time (d) follows fixed rules
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias

Answer key

  1. True
  2. a real check
  3. reduces bias
  4. a normal program
  5. a real check
  6. spam
  7. a myth
  8. a basic calculator
  9. no, it finds patterns
  10. sorting photos by face
  11. bad for training
  12. False
  13. good for training
  14. adds to bias
  15. False
  16. text
  17. True
  18. training data
  19. True
  20. a simple rule is enough
  21. False
  22. training data
  23. False
  24. making up a story
  25. True
  26. not a real check
  27. a microwave timer
  28. spam
  29. False
  30. makes a best guess
  31. sorts or predicts
  32. to see if it works
  33. many labelled photos
  34. one-sided data
  35. a calculator
  36. needs AI (learning)
  37. long answers are true
  38. False
  39. improves with more data
  40. reduces bias

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