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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 813 · 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) AI can mix up numbers (b) AI is never wrong (c) AI learns from data (d) AI can be wrong
  2. 2.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  3. 3.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI can be wrong (d) AI has real feelings
  5. 5.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
  6. 6.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  7. 7.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) add varied examples (d) skip testing
  8. 8.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
  9. 9.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  10. 10.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) long answers are true (d) AI copies data patterns
  11. 11.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
  13. 13.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  14. 14.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  15. 15.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  16. 16.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  17. 17.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  18. 18.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI is never wrong (d) AI can be wrong
  19. 19.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  20. 20.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) test on many groups (d) fix wrong labels
  21. 21.True or false: “recorded spoken words” is the model. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) unlocking with a face (b) drafting a letter (c) writing a new poem (d) making up a story
  23. 23.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) recommending (c) generating (d) predicting
  24. 24.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) recognising (c) recommending (d) generating
  25. 25.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) long answers are true (d) AI answers need checking
  26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  27. 27.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
  28. 28.🏷️ 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
  29. 29.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) only one kind of example (b) checking labels twice (c) many varied examples (d) correct labels
  31. 31.Which of these is not AI? (a) a voice assistant (b) a light switch (c) a map predicting traffic (d) face unlock on a phone
  32. 32.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  33. 33.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) recognising (c) recommending (d) generating
  34. 34.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) suggesting a video (c) drawing a new picture (d) writing a new poem
  36. 36.True or false: “ask different people” adds to bias. (a) True (b) False
  37. 37.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  39. 39.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) False (b) True
  40. 40.True or false: “one set rule per case” describes how AI works. (a) True (b) False

Answer key

  1. AI is never wrong
  2. True
  3. a simple rule is enough
  4. AI can be wrong
  5. True
  6. False
  7. add varied examples
  8. True
  9. True
  10. AI copies data patterns
  11. a fact
  12. it may get it wrong
  13. True
  14. not AI
  15. True
  16. makes something new
  17. False
  18. AI is never wrong
  19. a normal program
  20. ignore complaints
  21. False
  22. unlocking with a face
  23. recommending
  24. recommending
  25. AI answers need checking
  26. AI
  27. False
  28. not spam
  29. False
  30. only one kind of example
  31. a light switch
  32. good for training
  33. generating
  34. needs AI (learning)
  35. suggesting a video
  36. False
  37. True
  38. False
  39. True
  40. False

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