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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 889 · 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: “long answers are true” is a fact about AI. (a) True (b) False
  2. 2.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  3. 3.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) same steps every time (d) spots patterns in data
  4. 4.Which of these uses AI? (a) a torch (b) a light switch (c) a calculator (d) voice typing
  5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  7. 7.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
  8. 8.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  10. 10.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  11. 11.Which of these is not AI? (a) video suggestions (b) face unlock on a phone (c) a fan regulator (d) photos grouped by face
  12. 12.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recommending (c) recognising (d) predicting
  13. 13.True or false: “what training builds” is training data. (a) False (b) True
  14. 14.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ask different people (d) test on one group only
  15. 15.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  16. 16.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) recommending (c) generating (d) recognising
  17. 17.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) recognising (c) recommending (d) generating
  18. 18.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  19. 19.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  20. 20.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  21. 21.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it has a screen (d) it uses electricity
  22. 22.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  23. 23.🔍 Which is the odd one out? (a) face unlock on a phone (b) a stopwatch (c) a printed timetable (d) a fan regulator
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  25. 25.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
  26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  27. 27.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) only one kind of example (d) blurry, unclear photos
  28. 28.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  29. 29.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  30. 30.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  31. 31.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  34. 34.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  35. 35.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  36. 36.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) blurry, unclear photos (d) testing on training data
  37. 37.🔍 Which is the odd one out? (a) AI can be wrong (b) confident means correct (c) AI knows everything (d) AI is never wrong
  38. 38.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) a fan regulator (b) a voice assistant (c) a torch (d) a light switch
  40. 40.🔍 Which is the odd one out? (a) writing quiz questions (b) drawing a new picture (c) spotting a sick leaf (d) inventing a recipe

Answer key

  1. False
  2. bad for training
  3. spots patterns in data
  4. voice typing
  5. True
  6. True
  7. artificial intelligence
  8. False
  9. its training data
  10. False
  11. a fan regulator
  12. recognising
  13. False
  14. test on one group only
  15. a real check
  16. generating
  17. recommending
  18. makes something new
  19. makes something new
  20. a fact
  21. it learns from examples
  22. uses AI
  23. face unlock on a phone
  24. balanced data
  25. uses AI
  26. False
  27. examples of every type
  28. a simple rule is enough
  29. AI
  30. no
  31. False
  32. spam
  33. adds to bias
  34. uses AI
  35. needs AI (learning)
  36. clear, sharp examples
  37. AI can be wrong
  38. False
  39. a voice assistant
  40. spotting a sick leaf

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