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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 827 · 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: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  2. 2.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
  3. 3.True or false: “improves with more data” describes how AI works. (a) False (b) True
  4. 4.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) follows fixed rules (d) never learns from data
  6. 6.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI learns from data (c) AI can make up facts (d) AI is never wrong
  8. 8.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  9. 9.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
  10. 10.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
  11. 11.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  12. 12.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  13. 13.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  14. 14.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
  15. 15.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
  16. 16.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI can make up facts (d) AI knows everything
  17. 17.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) makes a best guess (d) does exactly as coded
  18. 18.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
  19. 19.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) no, it follows rules (d) only at night
  20. 20.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  21. 21.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) photos in many lights (d) copies of one photo
  23. 23.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI can be wrong (d) long answers are true
  24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
  25. 25.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
  26. 26.True or false: “new data for testing” is bad for training a model. (a) False (b) True
  27. 27.Which of these is not AI? (a) photos grouped by face (b) a map predicting traffic (c) a kitchen weighing scale (d) voice typing
  28. 28.True or false: “labelled fruit photos” is training data. (a) True (b) False
  29. 29.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  30. 30.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  31. 31.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) skip testing
  32. 32.True or false: “recorded spoken words” is the model. (a) False (b) True
  33. 33.🔍 Which is the odd one out? (a) a calculator (b) photos grouped by face (c) a light switch (d) a torch
  34. 34.🔍 Which is the odd one out? (a) a printed timetable (b) face unlock on a phone (c) a calculator (d) a light switch
  35. 35.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
  36. 36.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  37. 37.True or false: “same steps every time” describes how AI works. (a) True (b) False
  38. 38.Which of these is a myth about AI? (a) AI knows everything (b) AI can be wrong (c) AI answers need checking (d) AI learns from data
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  40. 40.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data

Answer key

  1. False
  2. the right answer tag
  3. True
  4. True
  5. learns from examples
  6. a simple rule is enough
  7. AI is never wrong
  8. no
  9. what training builds
  10. its training data
  11. no, check it anyway
  12. True
  13. True
  14. True
  15. not AI
  16. AI can make up facts
  17. does exactly as coded
  18. labelled fruit photos
  19. no, it follows rules
  20. good for training
  21. True
  22. photos in many lights
  23. AI can be wrong
  24. False
  25. True
  26. False
  27. a kitchen weighing scale
  28. True
  29. sorts or predicts
  30. True
  31. skip testing
  32. False
  33. photos grouped by face
  34. face unlock on a phone
  35. predicts likely words
  36. not a real check
  37. False
  38. AI knows everything
  39. training data
  40. one-sided data

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