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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 161 · 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.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) clear, sharp examples (d) correct labels
  3. 3.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
  5. 5.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  6. 6.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  7. 7.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  8. 8.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
  9. 9.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  10. 10.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  11. 11.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  12. 12.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
  13. 13.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  14. 14.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  15. 15.Which of these is a fact about AI? (a) AI has real feelings (b) confident means correct (c) AI is never wrong (d) AI can make up facts
  16. 16.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  17. 17.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  18. 18.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  19. 19.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  20. 20.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  21. 21.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  23. 23.Which of these uses AI? (a) a digital watch (b) a doorbell (c) a calculator (d) photos grouped by face
  24. 24.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  25. 25.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  26. 26.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
  27. 27.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI can make up facts (d) confident means correct
  29. 29.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  30. 30.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  31. 31.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  32. 32.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) uses rules people wrote (d) follows fixed rules
  33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  34. 34.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  35. 35.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  36. 36.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) past weather records
  37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) labels added at random (d) many varied examples
  38. 38.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) add more of the same (d) use one group only
  40. 40.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email

Answer key

  1. True
  2. testing on training data
  3. True
  4. True
  5. True
  6. a myth
  7. bad for training
  8. recommending
  9. True
  10. False
  11. True
  12. False
  13. True
  14. True
  15. AI can make up facts
  16. False
  17. True
  18. bad for training
  19. a normal program
  20. False
  21. good for training
  22. balanced data
  23. photos grouped by face
  24. False
  25. no, check it anyway
  26. True
  27. True
  28. AI can make up facts
  29. sorts or predicts
  30. False
  31. False
  32. makes a best guess
  33. one-sided data
  34. makes something new
  35. it learns patterns
  36. typing a new spoken word
  37. labels added at random
  38. AI
  39. fix wrong labels
  40. the learned patterns

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