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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 422 · 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.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
  2. 2.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
  3. 3.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  4. 4.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  5. 5.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) clear, sharp examples (d) very few examples
  6. 6.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  7. 7.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
  8. 8.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  9. 9.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
  12. 12.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  13. 13.Which of these is good for training a model? (a) only one kind of example (b) examples of every type (c) wrong labels (d) copies of one photo
  14. 14.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
  15. 15.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) drawing a new picture (b) inventing a recipe (c) making up a story (d) sorting photos by face
  17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  19. 19.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  20. 20.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  21. 21.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  23. 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  24. 24.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  25. 25.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  26. 26.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
  27. 27.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) sorting photos by face (d) drawing a new picture
  28. 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  29. 29.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  30. 30.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI can mix up numbers (d) AI learns from data
  32. 32.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  34. 34.True or false: “the learned patterns” is the model. (a) False (b) True
  35. 35.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
  36. 36.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  37. 37.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  38. 38.Which of these adds to bias? (a) use one group only (b) test on many groups (c) ask different people (d) add varied examples
  39. 39.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
  40. 40.Which of these describes how AI works? (a) does exactly as coded (b) learns from examples (c) same steps every time (d) never learns from data

Answer key

  1. text
  2. look in your textbook
  3. needs AI (learning)
  4. False
  5. clear, sharp examples
  6. True
  7. no, it follows rules
  8. adds to bias
  9. no, it finds patterns
  10. reduces bias
  11. it may get it wrong
  12. no
  13. examples of every type
  14. a prompt
  15. True
  16. sorting photos by face
  17. training data
  18. balanced data
  19. not AI
  20. a simple rule is enough
  21. a simple rule is enough
  22. the model
  23. balanced data
  24. makes something new
  25. a fact
  26. typing a new spoken word
  27. drawing a new picture
  28. its training data
  29. False
  30. False
  31. AI is never wrong
  32. False
  33. old emails marked spam
  34. True
  35. False
  36. learn from data
  37. AI
  38. use one group only
  39. False
  40. learns from examples

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