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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 744 · 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.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  4. 4.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) a digital watch (b) video suggestions (c) a calculator (d) a printed timetable
  6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  7. 7.True or false: a music app suggesting a song you may like is AI recommending something. (a) False (b) True
  8. 8.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  9. 9.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  10. 10.Which of these is training data? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) the trained program
  11. 11.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) wrong labels (d) clear, sharp examples
  12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  13. 13.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
  14. 14.True or false: “ignore complaints” adds to bias. (a) False (b) True
  15. 15.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ignore complaints (d) fix wrong labels
  16. 16.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  17. 17.Which of these is a myth about AI? (a) AI can be wrong (b) AI can mix up numbers (c) confident means correct (d) AI can make up facts
  18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  19. 19.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) new data for testing (d) labels added at random
  20. 20.Which of these adds to bias? (a) add more of the same (b) add varied examples (c) ask different people (d) check who is missing
  21. 21.True or false: “correct labels” is good for training a model. (a) True (b) False
  22. 22.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
  24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
  25. 25.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  26. 26.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) automatic internet (d) app installer
  27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  29. 29.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  30. 30.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) test on many groups (d) copy old unfair choices
  31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) recommending (d) charging
  32. 32.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  34. 34.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) suggesting a video (c) creating a cartoon (d) writing quiz questions
  36. 36.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  37. 37.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  38. 38.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  39. 39.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  40. 40.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI

Answer key

  1. a fact
  2. more varied data
  3. a normal program
  4. True
  5. video suggestions
  6. reduces bias
  7. True
  8. AI
  9. True
  10. recorded spoken words
  11. wrong labels
  12. one-sided data
  13. no, it follows rules
  14. True
  15. ignore complaints
  16. False
  17. confident means correct
  18. the learned patterns
  19. new data for testing
  20. add more of the same
  21. True
  22. True
  23. no, it finds patterns
  24. True
  25. True
  26. artificial intelligence
  27. one-sided data
  28. the learned patterns
  29. it learns patterns
  30. test on many groups
  31. recommending
  32. needs AI (learning)
  33. not a real check
  34. True
  35. suggesting a video
  36. text
  37. False
  38. False
  39. True
  40. uses AI

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