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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 757 · 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.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
  2. 2.True or false: “labelled fruit photos” is training data. (a) True (b) False
  3. 3.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  4. 4.True or false: “learns from examples” describes how AI works. (a) True (b) False
  5. 5.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  6. 6.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
  7. 7.Which of these is not AI? (a) photos grouped by face (b) voice typing (c) an image generator (d) a torch
  8. 8.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  9. 9.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) AI learns from data (d) long answers are true
  10. 10.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) wrong labels (d) new data for testing
  11. 11.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  12. 12.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  13. 13.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  14. 14.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drafting a letter (c) sorting photos by face (d) creating a cartoon
  16. 16.🔍 Which is the odd one out? (a) a torch (b) photos grouped by face (c) a light switch (d) a stopwatch
  17. 17.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  20. 20.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  21. 21.🔍 Which is the odd one out? (a) composing a new tune (b) writing a new poem (c) making up a story (d) suggesting a video
  22. 22.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
  23. 23.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) checking labels twice (d) labels added at random
  24. 24.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
  25. 25.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
  26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  27. 27.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  28. 28.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  30. 30.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  32. 32.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
  33. 33.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
  34. 34.🔍 Which is the odd one out? (a) photos grouped by face (b) an AI chatbot (c) face unlock on a phone (d) a digital watch
  35. 35.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) stop studying (c) trust the AI (d) trust the textbook
  36. 36.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI always checks facts (d) AI copies data patterns
  37. 37.Which of these is a fact about AI? (a) AI can be wrong (b) AI is never wrong (c) confident means correct (d) long answers are true
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  39. 39.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) music or sound (c) text
  40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True

Answer key

  1. not AI
  2. True
  3. True
  4. True
  5. True
  6. better at its task
  7. a torch
  8. 500 labelled leaf photos
  9. long answers are true
  10. new data for testing
  11. True
  12. False
  13. text
  14. it learns from examples
  15. sorting photos by face
  16. photos grouped by face
  17. a real check
  18. training data
  19. the learned patterns
  20. not a real check
  21. suggesting a video
  22. learn from data
  23. checking labels twice
  24. False
  25. True
  26. adds to bias
  27. a basic calculator
  28. True
  29. not spam
  30. past weather records
  31. not spam
  32. False
  33. no, it finds patterns
  34. a digital watch
  35. trust the textbook
  36. AI copies data patterns
  37. AI can be wrong
  38. its training data
  39. music or sound
  40. False

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