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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 574 · 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 AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) creating a cartoon (c) unlocking with a face (d) drafting a letter
  2. 2.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  4. 4.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) the learned patterns
  6. 6.Which of these is not AI? (a) a printed timetable (b) face unlock on a phone (c) a map predicting traffic (d) an app translating signs
  7. 7.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) testing on training data (d) checking labels twice
  8. 8.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
  9. 9.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  10. 10.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  11. 11.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
  12. 12.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
  13. 13.Which of these is a fact about AI? (a) AI is never wrong (b) AI copies data patterns (c) long answers are true (d) AI knows everything
  14. 14.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
  15. 15.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  16. 16.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
  17. 17.🔍 Which is the odd one out? (a) a fan regulator (b) voice typing (c) a light switch (d) a microwave timer
  18. 18.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  19. 19.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
  20. 20.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a stopwatch (d) face unlock on a phone
  21. 21.True or false: “a drawing of a cat on the Moon” asks for text. (a) True (b) False
  22. 22.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the Moon (d) the weather
  23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  24. 24.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  25. 25.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  26. 26.True or false: “ask different people” helps reduce bias. (a) True (b) False
  27. 27.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
  28. 28.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  29. 29.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
  30. 30.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) inventing a recipe (c) spotting a sick leaf (d) composing a new tune
  32. 32.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  33. 33.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  34. 34.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) what training builds (d) labelled fruit photos
  35. 35.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it learns from examples (d) it is always right
  36. 36.Which of these is bad for training a model? (a) correct labels (b) wrong labels (c) clear, sharp examples (d) photos in many lights
  37. 37.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  39. 39.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) predicting (c) recommending (d) generating

Answer key

  1. unlocking with a face
  2. uses AI
  3. training data
  4. True
  5. naming a new fruit photo
  6. a printed timetable
  7. testing on training data
  8. an image
  9. False
  10. a myth
  11. no, it follows rules
  12. a basic calculator
  13. AI copies data patterns
  14. predicts likely words
  15. False
  16. uses AI
  17. voice typing
  18. recorded spoken words
  19. False
  20. face unlock on a phone
  21. False
  22. people
  23. False
  24. True
  25. AI
  26. True
  27. learn from data
  28. a real check
  29. trust the textbook
  30. a normal program
  31. spotting a sick leaf
  32. True
  33. good for training
  34. what training builds
  35. it learns from examples
  36. wrong labels
  37. True
  38. the trained program
  39. a simple rule is enough
  40. recognising

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