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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 766 · 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 is not AI? (a) a spam filter (b) an app translating signs (c) a calculator (d) an image generator
  2. 2.🔍 Which is the odd one out? (a) drafting a letter (b) predicting rain (c) creating a cartoon (d) inventing a recipe
  3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  4. 4.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  5. 5.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  6. 6.🥭 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 shut down (d) it will turn yellow
  7. 7.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
  8. 8.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
  9. 9.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  10. 10.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
  12. 12.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) same steps every time (d) gives a likely answer
  13. 13.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  14. 14.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  15. 15.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
  16. 16.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) sorting photos by face (d) making up a story
  17. 17.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) AI copies data patterns (d) AI always checks facts
  18. 18.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  20. 20.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  21. 21.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) fix wrong labels
  23. 23.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
  24. 24.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  25. 25.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  26. 26.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  27. 27.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  28. 28.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
  29. 29.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) handles unseen examples (d) never learns from data
  30. 30.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI can make up facts
  31. 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
  32. 32.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  34. 34.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  35. 35.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  36. 36.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  37. 37.Which of these describes how AI works? (a) one set rule per case (b) makes a best guess (c) never learns from data (d) follows fixed rules
  38. 38.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
  39. 39.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) wrong labels (d) photos in many lights

Answer key

  1. a calculator
  2. predicting rain
  3. adds to bias
  4. good for training
  5. False
  6. it may get it wrong
  7. False
  8. False
  9. old emails marked spam
  10. uses AI
  11. few child voices in data
  12. gives a likely answer
  13. a fact
  14. False
  15. learn from data
  16. making up a story
  17. AI copies data patterns
  18. a normal program
  19. one-sided data
  20. a normal program
  21. True
  22. fix wrong labels
  23. predicts likely words
  24. a real check
  25. sorts or predicts
  26. False
  27. text
  28. fix wrong labels
  29. never learns from data
  30. AI always checks facts
  31. True
  32. makes something new
  33. False
  34. True
  35. AI
  36. False
  37. makes a best guess
  38. False
  39. a simple rule is enough
  40. photos in many lights

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