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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 238 · 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) copy old unfair choices (b) ignore complaints (c) use one group only (d) add varied examples
  2. 2.🔍 Which is the odd one out? (a) labels added at random (b) blurry, unclear photos (c) correct labels (d) testing on training data
  3. 3.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
  4. 4.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
  5. 5.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
  8. 8.True or false: “past weather records” is the model. (a) True (b) False
  9. 9.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  10. 10.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  12. 12.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) add varied examples
  14. 14.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
  15. 15.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  17. 17.🔍 Which is the odd one out? (a) composing a new tune (b) drafting a letter (c) creating a cartoon (d) spotting a sick leaf
  18. 18.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
  19. 19.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  20. 20.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  21. 21.True or false: “labelled fruit photos” is the model. (a) True (b) False
  22. 22.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  23. 23.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
  24. 24.🔍 Which is the odd one out? (a) a digital watch (b) a microwave timer (c) a fan regulator (d) an image generator
  25. 25.Which of these is the model? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) naming a new leaf
  26. 26.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI knows everything (d) AI answers need checking
  27. 27.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating
  28. 28.Which of these is generative AI (it makes something new)? (a) spotting spam (b) predicting rain (c) suggesting a video (d) writing a new poem
  29. 29.True or false: “improves with more data” describes how AI works. (a) True (b) False
  30. 30.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
  31. 31.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) ask different people
  32. 32.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI knows everything (d) AI can make up facts
  33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) spotting a sick leaf (c) drafting a letter (d) composing a new tune
  34. 34.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  35. 35.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) same steps every time (d) improves with more data
  36. 36.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) balance the data (d) ignore complaints
  37. 37.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) past weather records (d) the learned patterns
  38. 38.🔍 Which is the odd one out? (a) drafting a letter (b) drawing a new picture (c) suggesting a video (d) writing quiz questions
  39. 39.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  40. 40.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs

Answer key

  1. add varied examples
  2. correct labels
  3. True
  4. makes new content
  5. needs AI (learning)
  6. True
  7. False
  8. False
  9. good for training
  10. to see if it works
  11. not spam
  12. False
  13. ignore complaints
  14. an image
  15. False
  16. one-sided data
  17. spotting a sick leaf
  18. a prompt
  19. a myth
  20. True
  21. False
  22. a normal program
  23. a basic calculator
  24. an image generator
  25. the trained program
  26. AI answers need checking
  27. predicting
  28. writing a new poem
  29. True
  30. not AI
  31. use one group only
  32. AI knows everything
  33. spotting a sick leaf
  34. makes something new
  35. improves with more data
  36. balance the data
  37. the learned patterns
  38. suggesting a video
  39. True
  40. many labelled photos

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