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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 453 · 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 training data? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) the trained program
  2. 2.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) long answers are true (d) AI can be wrong
  3. 3.Which of these is not AI? (a) face unlock on a phone (b) an image generator (c) a stopwatch (d) an AI chatbot
  4. 4.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
  5. 5.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) very few examples (d) many varied examples
  6. 6.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  7. 7.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a spam filter (d) a calculator
  8. 8.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  9. 9.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
  10. 10.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
  11. 11.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  12. 12.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
  13. 13.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
  14. 14.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  15. 15.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) examples of every type (d) clear, sharp examples
  16. 16.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  17. 17.True or false: “a poster of a rainforest” asks for text. (a) False (b) True
  18. 18.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) an app translating signs (b) an image generator (c) a map predicting traffic (d) a printed timetable
  20. 20.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  21. 21.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) yes, it is smart (d) only at night
  22. 22.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  23. 23.True or false: “very few examples” is bad for training a model. (a) False (b) True
  24. 24.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  25. 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting a sick leaf (c) inventing a recipe (d) predicting rain
  26. 26.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
  27. 27.True or false: “labelled fruit photos” is training data. (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) AI learns from data (b) AI always checks facts (c) AI copies data patterns (d) AI can mix up numbers
  29. 29.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  30. 30.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  33. 33.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
  34. 34.True or false: “ask different people” helps reduce bias. (a) False (b) True
  35. 35.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False
  36. 36.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) clear, sharp examples (d) photos in many lights
  37. 37.Which of these is generative AI (it makes something new)? (a) predicting rain (b) making up a story (c) spotting a sick leaf (d) reading number plates
  38. 38.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  40. 40.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) add more of the same (d) copy old unfair choices

Answer key

  1. past weather records
  2. AI can be wrong
  3. a stopwatch
  4. no, it can be wrong
  5. very few examples
  6. uses AI
  7. a calculator
  8. a normal program
  9. fix wrong labels
  10. True
  11. a fact
  12. False
  13. artificial intelligence
  14. bad for training
  15. testing on training data
  16. sorts or predicts
  17. False
  18. True
  19. a printed timetable
  20. True
  21. no, it follows rules
  22. False
  23. True
  24. True
  25. inventing a recipe
  26. it may get it wrong
  27. True
  28. AI always checks facts
  29. AI
  30. bad for training
  31. False
  32. balanced data
  33. False
  34. True
  35. True
  36. blurry, unclear photos
  37. making up a story
  38. people
  39. a prediction
  40. test on many groups

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