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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 835 · 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 is the odd one out? (a) test on one group only (b) balance the data (c) test on many groups (d) fix wrong labels
  2. 2.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  3. 3.True or false: “ask different people” adds to bias. (a) True (b) False
  4. 4.Which of these is not AI? (a) video suggestions (b) a voice assistant (c) a kitchen weighing scale (d) voice typing
  5. 5.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  6. 6.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  8. 8.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  10. 10.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  11. 11.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
  12. 12.Which of these is bad for training a model? (a) testing on training data (b) clear, sharp examples (c) many varied examples (d) new data for testing
  13. 13.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) AI is never wrong (d) AI can make up facts
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  15. 15.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  16. 16.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  17. 17.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
  18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) cooking (d) printing
  19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  20. 20.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  22. 22.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  23. 23.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  24. 24.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  25. 25.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  26. 26.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
  27. 27.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  28. 28.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  30. 30.True or false: “write a poem about the monsoon” asks for an image. (a) False (b) True
  31. 31.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) AI knows everything (b) AI can mix up numbers (c) AI always checks facts (d) AI has real feelings
  33. 33.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  34. 34.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) fix wrong labels (d) add varied examples
  35. 35.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  36. 36.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
  37. 37.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  38. 38.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
  39. 39.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
  40. 40.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity

Answer key

  1. test on one group only
  2. True
  3. False
  4. a kitchen weighing scale
  5. True
  6. True
  7. balanced data
  8. True
  9. bias from data
  10. a fact
  11. False
  12. testing on training data
  13. AI can make up facts
  14. training data
  15. False
  16. True
  17. False
  18. recommending
  19. reduces bias
  20. needs AI (learning)
  21. makes something new
  22. False
  23. False
  24. True
  25. True
  26. True
  27. data, model, prediction
  28. uses AI
  29. few child voices in data
  30. False
  31. True
  32. AI can mix up numbers
  33. reduces bias
  34. ignore complaints
  35. makes something new
  36. a prompt
  37. False
  38. better at its task
  39. a simple rule is enough
  40. it learns from examples

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