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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 447 · 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 drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
  2. 2.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
  3. 3.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  4. 4.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  5. 5.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  6. 6.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  7. 7.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
  8. 8.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) use one group only
  9. 9.🤖 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
  10. 10.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  11. 11.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  12. 12.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI is never wrong (d) AI learns from data
  14. 14.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  15. 15.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) confident means correct (d) AI can be wrong
  16. 16.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) face unlock on a phone (d) a digital watch
  17. 17.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  19. 19.Which of these uses AI? (a) a stopwatch (b) voice typing (c) a printed timetable (d) a calculator
  20. 20.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
  21. 21.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  22. 22.True or false: “skip testing” helps reduce bias. (a) False (b) True
  23. 23.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  24. 24.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  25. 25.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  26. 26.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  27. 27.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  28. 28.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  29. 29.🔍 Which is the odd one out? (a) a map predicting traffic (b) voice typing (c) a fan regulator (d) photos grouped by face
  30. 30.True or false: “new data for testing” is good for training a model. (a) True (b) False
  31. 31.True or false: “labels added at random” is bad for training a model. (a) True (b) False
  32. 32.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
  33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  35. 35.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  36. 36.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
  37. 37.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  39. 39.True or false: “check who is missing” adds to bias. (a) True (b) False
  40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam

Answer key

  1. music or sound
  2. predicting
  3. a myth
  4. makes something new
  5. makes something new
  6. a prompt
  7. a text description
  8. use one group only
  9. it learns from examples
  10. False
  11. True
  12. True
  13. AI is never wrong
  14. True
  15. AI can be wrong
  16. a digital watch
  17. recorded spoken words
  18. the learned patterns
  19. voice typing
  20. False
  21. good for training
  22. False
  23. bad for training
  24. a fact
  25. False
  26. a real check
  27. sorts or predicts
  28. not AI
  29. a fan regulator
  30. True
  31. True
  32. True
  33. False
  34. adds to bias
  35. no, it can be wrong
  36. predicts likely words
  37. bad for training
  38. balanced data
  39. False
  40. spam

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