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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 56 · 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.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  2. 2.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) very few examples (d) wrong labels
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  4. 4.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI can make up facts (d) AI is never wrong
  5. 5.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ask different people (d) copy old unfair choices
  6. 6.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
  8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  9. 9.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
  10. 10.True or false: “past weather records” is training data. (a) False (b) True
  11. 11.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
  12. 12.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  14. 14.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI can be wrong (d) confident means correct
  15. 15.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) skip testing
  17. 17.Which of these uses AI? (a) a torch (b) a printed timetable (c) voice typing (d) a digital watch
  18. 18.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
  19. 19.Which of these is generative AI (it makes something new)? (a) predicting rain (b) turning speech to text (c) writing a new poem (d) sorting photos by face
  20. 20.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) copy old unfair choices
  21. 21.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
  23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  25. 25.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  26. 26.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
  27. 27.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  28. 28.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) yes, it can think (d) no, it follows rules
  29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  30. 30.Which of these is a fact about AI? (a) AI has real feelings (b) AI answers need checking (c) long answers are true (d) confident means correct
  31. 31.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  32. 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  33. 33.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the textbook (d) trust the AI
  34. 34.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) making up a story (c) writing a new poem (d) drawing a new picture
  36. 36.Which of these is not AI? (a) a spam filter (b) a voice assistant (c) video suggestions (d) a light switch
  37. 37.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
  38. 38.Which of these uses AI? (a) a kitchen weighing scale (b) a calculator (c) a light switch (d) photos grouped by face
  39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  40. 40.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price

Answer key

  1. good for training
  2. checking labels twice
  3. a normal program
  4. AI can make up facts
  5. copy old unfair choices
  6. a normal program
  7. it may get it wrong
  8. reduces bias
  9. True
  10. True
  11. predicts likely words
  12. a simple rule is enough
  13. True
  14. AI can be wrong
  15. False
  16. skip testing
  17. voice typing
  18. the learned patterns
  19. writing a new poem
  20. test on many groups
  21. a simple rule is enough
  22. few child voices in data
  23. one-sided data
  24. the learned patterns
  25. True
  26. it learns from examples
  27. True
  28. no, it follows rules
  29. reduces bias
  30. AI answers need checking
  31. False
  32. reduces bias
  33. trust the textbook
  34. uses AI
  35. turning speech to text
  36. a light switch
  37. True
  38. photos grouped by face
  39. balanced data
  40. the right answer tag

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