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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 782 · 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.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
  2. 2.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  3. 3.True or false: “balance the data” adds to bias. (a) False (b) True
  4. 4.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) yes, it is smart (d) only at night
  5. 5.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
  6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
  7. 7.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
  8. 8.True or false: “ask different people” adds to bias. (a) False (b) True
  9. 9.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
  10. 10.True or false: “labelled fruit photos” is training data. (a) True (b) False
  11. 11.Which of these is training data? (a) naming a new leaf (b) the trained program (c) past weather records (d) flagging a new email
  12. 12.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  13. 13.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  15. 15.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) clear, sharp examples (d) new data for testing
  16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a song about dogs (d) a list of rules only
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  18. 18.🔍 Which is the odd one out? (a) face unlock on a phone (b) voice typing (c) a printed timetable (d) an image generator
  19. 19.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  20. 20.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  21. 21.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) one set rule per case (d) learns from examples
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) inventing a recipe (c) spotting a sick leaf (d) making up a story
  23. 23.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
  24. 24.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  26. 26.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  28. 28.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  30. 30.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  32. 32.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  33. 33.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  34. 34.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
  35. 35.Which of these is a fact about AI? (a) AI can make up facts (b) AI always checks facts (c) AI knows everything (d) AI is never wrong
  36. 36.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) fix wrong labels (d) skip testing
  37. 37.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI copies data patterns (d) AI is never wrong
  38. 38.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  39. 39.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  40. 40.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False

Answer key

  1. text
  2. good for training
  3. False
  4. no, it follows rules
  5. predicts likely words
  6. it may get it wrong
  7. False
  8. False
  9. not AI
  10. True
  11. past weather records
  12. AI
  13. False
  14. reduces bias
  15. labels added at random
  16. many labelled photos
  17. a prediction
  18. a printed timetable
  19. True
  20. AI
  21. one set rule per case
  22. spotting a sick leaf
  23. True
  24. True
  25. balanced data
  26. not a real check
  27. a prediction
  28. the right answer tag
  29. not spam
  30. it learns patterns
  31. one-sided data
  32. True
  33. False
  34. True
  35. AI can make up facts
  36. fix wrong labels
  37. AI copies data patterns
  38. a fact
  39. uses AI
  40. False

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