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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 753 · 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 uses AI? (a) a fan regulator (b) a calculator (c) voice typing (d) a kitchen weighing scale
  2. 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
  3. 3.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  4. 4.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  5. 5.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  6. 6.Which of these is a fact about AI? (a) AI has real feelings (b) AI learns from data (c) long answers are true (d) AI knows everything
  7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  8. 8.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) examples of every type (d) very few examples
  9. 9.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  10. 10.Which of these is not AI? (a) face unlock on a phone (b) an image generator (c) photos grouped by face (d) a calculator
  11. 11.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add more of the same (d) skip testing
  12. 12.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recognising (c) recommending (d) generating
  13. 13.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  14. 14.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  15. 15.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) recorded spoken words (d) flagging a new email
  16. 16.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) True (b) False
  17. 17.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  18. 18.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  19. 19.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) music or sound (c) an image
  20. 20.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting spam (c) drawing a new picture (d) spotting a sick leaf
  22. 22.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  25. 25.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  26. 26.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  27. 27.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  28. 28.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) predicting rain (d) creating a cartoon
  30. 30.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  31. 31.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) long answers are true (d) AI can make up facts
  32. 32.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  33. 33.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  34. 34.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  35. 35.True or false: “ignore complaints” adds to bias. (a) False (b) True
  36. 36.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  37. 37.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  38. 38.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  39. 39.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  40. 40.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True

Answer key

  1. voice typing
  2. trust the textbook
  3. True
  4. True
  5. True
  6. AI learns from data
  7. training data
  8. very few examples
  9. not AI
  10. a calculator
  11. check who is missing
  12. predicting
  13. good for training
  14. a real check
  15. recorded spoken words
  16. False
  17. False
  18. uses AI
  19. music or sound
  20. needs AI (learning)
  21. drawing a new picture
  22. False
  23. reduces bias
  24. the model
  25. to see if it works
  26. more varied data
  27. a fact
  28. not AI
  29. predicting rain
  30. makes something new
  31. AI can make up facts
  32. True
  33. AI
  34. False
  35. True
  36. uses AI
  37. a real check
  38. uses AI
  39. no
  40. True

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