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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 398 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  2. 2.🔍 Which is the odd one out? (a) AI always checks facts (b) AI answers need checking (c) AI can be wrong (d) AI can make up facts
  3. 3.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  4. 4.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  5. 5.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI has real feelings (c) AI learns from data (d) AI can be wrong
  6. 6.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  8. 8.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  9. 9.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) only one kind of example (d) testing on training data
  10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  12. 12.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  13. 13.True or false: “confident means correct” is a fact about AI. (a) True (b) False
  14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
  16. 16.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  18. 18.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  19. 19.Which of these describes how a normal program works? (a) follows fixed rules (b) spots patterns in data (c) improves with more data (d) learns from examples
  20. 20.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
  21. 21.Which of these uses AI? (a) a spam filter (b) a printed timetable (c) a calculator (d) a kitchen weighing scale
  22. 22.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) correct labels (d) very few examples
  23. 23.Which of these is not AI? (a) a map predicting traffic (b) a voice assistant (c) an AI chatbot (d) a doorbell
  24. 24.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  26. 26.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  27. 27.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  28. 28.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  30. 30.🧮 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
  31. 31.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  32. 32.Which of these is a fact about AI? (a) AI has real feelings (b) AI answers need checking (c) long answers are true (d) AI knows everything
  33. 33.True or false: “old emails marked spam” is training data. (a) True (b) False
  34. 34.True or false: “never learns from data” describes how AI works. (a) False (b) True
  35. 35.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
  36. 36.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 is never wrong
  37. 37.True or false: “test on many groups” adds to bias. (a) False (b) True
  38. 38.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  39. 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) copies of one photo (c) correct labels (d) checking labels twice
  40. 40.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only

Answer key

  1. spam
  2. AI always checks facts
  3. False
  4. makes something new
  5. AI has real feelings
  6. predicting
  7. not spam
  8. people
  9. correct labels
  10. training data
  11. one-sided data
  12. True
  13. False
  14. to see if it works
  15. False
  16. True
  17. not spam
  18. a fact
  19. follows fixed rules
  20. predicting
  21. a spam filter
  22. correct labels
  23. a doorbell
  24. True
  25. training data
  26. good for training
  27. makes something new
  28. it learns patterns
  29. more varied data
  30. no, it follows rules
  31. no, it can be wrong
  32. AI answers need checking
  33. True
  34. False
  35. False
  36. AI can mix up numbers
  37. False
  38. a myth
  39. copies of one photo
  40. many labelled photos

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