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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 472 · 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.True or false: “the learned patterns” is the model. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) suggesting a video (b) reading number plates (c) turning speech to text (d) composing a new tune
  3. 3.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) spots patterns in data (d) does exactly as coded
  4. 4.🔍 Which is the odd one out? (a) predicting rain (b) inventing a recipe (c) spotting spam (d) suggesting a video
  5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
  6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  8. 8.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
  9. 9.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  10. 10.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  11. 11.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) past weather records
  12. 12.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.True or false: “use one group only” adds to bias. (a) True (b) False
  14. 14.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  15. 15.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  16. 16.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
  17. 17.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
  18. 18.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  19. 19.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
  20. 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
  21. 21.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
  22. 22.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
  24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
  25. 25.🔍 Which is the odd one out? (a) an image generator (b) a calculator (c) a light switch (d) a digital watch
  26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  27. 27.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
  28. 28.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) drafting a letter (b) writing quiz questions (c) creating a cartoon (d) suggesting a video
  30. 30.🔍 Which is the odd one out? (a) a digital watch (b) an image generator (c) an AI chatbot (d) photos grouped by face
  31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  32. 32.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  33. 33.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
  34. 34.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  35. 35.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) AI always checks facts
  36. 36.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
  37. 37.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) recognising (c) generating (d) predicting
  38. 38.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
  39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  40. 40.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet

Answer key

  1. True
  2. composing a new tune
  3. does exactly as coded
  4. inventing a recipe
  5. naming a new leaf
  6. True
  7. spam
  8. recommending
  9. False
  10. a real check
  11. what training builds
  12. needs AI (learning)
  13. True
  14. data, model, prediction
  15. True
  16. trust the textbook
  17. False
  18. AI
  19. no, it follows rules
  20. it may get it wrong
  21. the trained program
  22. False
  23. many labelled photos
  24. bias from data
  25. an image generator
  26. balanced data
  27. no, check it anyway
  28. True
  29. suggesting a video
  30. a digital watch
  31. reduces bias
  32. False
  33. False
  34. it learns patterns
  35. AI always checks facts
  36. False
  37. predicting
  38. an image
  39. balanced data
  40. artificial intelligence

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