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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 602 · 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.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  2. 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  3. 3.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
  4. 4.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ignore complaints (d) test on many groups
  5. 5.True or false: “correct labels” is bad for training a model. (a) False (b) True
  6. 6.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  7. 7.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  8. 8.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) True (b) False
  9. 9.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
  10. 10.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  12. 12.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  14. 14.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) testing on training data (d) copies of one photo
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drawing a new picture (c) writing quiz questions (d) spotting spam
  16. 16.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  17. 17.True or false: a camera app naming the flower you point at is AI generating something new. (a) False (b) True
  18. 18.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  19. 19.🏷️ 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
  20. 20.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  21. 21.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  22. 22.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) predicting rain (d) composing a new tune
  23. 23.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  24. 24.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) recommending (c) recognising (d) predicting
  25. 25.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) the learned patterns (d) past weather records
  28. 28.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  30. 30.Which of these is not AI? (a) a map predicting traffic (b) video suggestions (c) a voice assistant (d) a digital watch
  31. 31.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
  32. 32.True or false: “very few examples” is good for training a model. (a) False (b) True
  33. 33.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) ignore complaints
  34. 34.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
  35. 35.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  36. 36.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) an app translating signs (b) video suggestions (c) voice typing (d) a calculator
  38. 38.True or false: “the learned patterns” is training data. (a) False (b) True
  39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
  40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data

Answer key

  1. makes something new
  2. bad for training
  3. text
  4. test on many groups
  5. False
  6. uses AI
  7. False
  8. True
  9. predicting
  10. a normal program
  11. True
  12. a normal program
  13. not spam
  14. many varied examples
  15. spotting spam
  16. its training data
  17. False
  18. good for training
  19. spam
  20. a simple rule is enough
  21. bad for training
  22. composing a new tune
  23. True
  24. generating
  25. good for training
  26. balanced data
  27. the learned patterns
  28. AI
  29. a prediction
  30. a digital watch
  31. no, it can be wrong
  32. False
  33. ignore complaints
  34. False
  35. False
  36. True
  37. a calculator
  38. False
  39. few child voices in data
  40. balanced data

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