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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 590 · 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.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  2. 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  3. 3.🔍 Which is the odd one out? (a) a digital watch (b) video suggestions (c) photos grouped by face (d) an image generator
  4. 4.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
  5. 5.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
  9. 9.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  10. 10.Which of these is a myth about AI? (a) AI can be wrong (b) AI answers need checking (c) AI knows everything (d) AI can mix up numbers
  11. 11.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  14. 14.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) trust the AI (d) stop studying
  15. 15.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ask different people (d) test on many groups
  17. 17.True or false: “check who is missing” adds to bias. (a) False (b) True
  18. 18.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) confident means correct (d) AI learns from data
  19. 19.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  20. 20.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  22. 22.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  23. 23.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) composing a new tune (c) writing a new poem (d) inventing a recipe
  24. 24.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  26. 26.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) True (b) False
  27. 27.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  29. 29.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
  30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  31. 31.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  32. 32.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  33. 33.🎨 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
  34. 34.Which of these uses AI? (a) voice typing (b) a doorbell (c) a printed timetable (d) a light switch
  35. 35.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  36. 36.True or false: “labelled fruit photos” is training data. (a) True (b) False
  37. 37.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI can be wrong (d) AI has real feelings
  38. 38.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
  39. 39.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  40. 40.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact

Answer key

  1. makes something new
  2. no, check it anyway
  3. a digital watch
  4. False
  5. no
  6. its training data
  7. one-sided data
  8. True
  9. makes something new
  10. AI knows everything
  11. False
  12. one-sided data
  13. reduces bias
  14. trust the textbook
  15. True
  16. skip testing
  17. False
  18. confident means correct
  19. False
  20. a simple rule is enough
  21. True
  22. a normal program
  23. unlocking with a face
  24. False
  25. adds to bias
  26. False
  27. False
  28. a basic calculator
  29. False
  30. True
  31. balanced data
  32. data, model, prediction
  33. text
  34. voice typing
  35. False
  36. True
  37. AI has real feelings
  38. the trained program
  39. no, it can be wrong
  40. a fact

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