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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 167 · 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 not AI? (a) video suggestions (b) a voice assistant (c) a fan regulator (d) an app translating signs
  2. 2.🌍 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
  3. 3.🔍 Which is the odd one out? (a) a stopwatch (b) voice typing (c) a fan regulator (d) a torch
  4. 4.True or false: “labelled fruit photos” is training data. (a) False (b) True
  5. 5.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  7. 7.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
  8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  9. 9.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) the trained program
  10. 10.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  12. 12.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  13. 13.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  14. 14.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
  15. 15.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  16. 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  17. 17.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  18. 18.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  19. 19.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
  20. 20.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) confident means correct (d) AI always checks facts
  21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  22. 22.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) add more of the same (d) use one group only
  23. 23.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) copies of one photo (d) labels added at random
  24. 24.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) True (b) False
  25. 25.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI copies data patterns (d) long answers are true
  26. 26.🔍 Which is the odd one out? (a) an image generator (b) video suggestions (c) a kitchen weighing scale (d) voice typing
  27. 27.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  28. 28.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  29. 29.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
  30. 30.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) check who is missing (d) ask different people
  31. 31.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
  32. 32.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
  33. 33.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
  34. 34.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  35. 35.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) labels added at random (d) very few examples
  36. 36.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  37. 37.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
  38. 38.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) sorting photos by face (b) drawing a new picture (c) creating a cartoon (d) writing a new poem
  40. 40.True or false: “only one kind of example” is good for training a model. (a) False (b) True

Answer key

  1. a fan regulator
  2. trust the textbook
  3. voice typing
  4. True
  5. needs AI (learning)
  6. a prediction
  7. bad for training
  8. bias from data
  9. typing a new spoken word
  10. old emails marked spam
  11. the model
  12. makes something new
  13. True
  14. False
  15. a myth
  16. True
  17. True
  18. True
  19. it learns from examples
  20. AI can mix up numbers
  21. one-sided data
  22. balance the data
  23. checking labels twice
  24. False
  25. long answers are true
  26. a kitchen weighing scale
  27. a real check
  28. not a real check
  29. a prompt
  30. ignore complaints
  31. recognising
  32. False
  33. no, it follows rules
  34. one-sided data
  35. examples of every type
  36. makes something new
  37. more varied data
  38. True
  39. sorting photos by face
  40. False

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