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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 844 · 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.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  2. 2.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) video suggestions (b) a printed timetable (c) a fan regulator (d) a torch
  4. 4.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  5. 5.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  6. 6.🔍 Which is the odd one out? (a) AI can be wrong (b) AI always checks facts (c) AI knows everything (d) long answers are true
  7. 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  8. 8.🔍 Which is the odd one out? (a) a light switch (b) a microwave timer (c) an app translating signs (d) a doorbell
  9. 9.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
  10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  11. 11.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) test on many groups
  12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  13. 13.True or false: a keyboard guessing your next word is AI recommending something. (a) True (b) False
  14. 14.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) AI can make up facts (d) AI is never wrong
  15. 15.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
  16. 16.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
  17. 17.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) correct labels (d) photos in many lights
  18. 18.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  19. 19.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  21. 21.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
  22. 22.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  23. 23.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
  24. 24.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI has real feelings (c) AI always checks facts (d) long answers are true
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  26. 26.True or false: “correct labels” is bad for training a model. (a) True (b) False
  27. 27.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  28. 28.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
  29. 29.Which of these adds to bias? (a) use one group only (b) ask different people (c) test on many groups (d) check who is missing
  30. 30.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  31. 31.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  32. 32.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) examples of every type (d) copies of one photo
  33. 33.Which of these is training data? (a) past weather records (b) naming a new leaf (c) typing a new spoken word (d) flagging a new email
  34. 34.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
  35. 35.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  36. 36.True or false: “a drawing of a cat on the Moon” asks for text. (a) True (b) False
  37. 37.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  38. 38.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) many varied examples (d) labels added at random
  39. 39.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) blurry, unclear photos (d) copies of one photo
  40. 40.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training

Answer key

  1. a myth
  2. False
  3. video suggestions
  4. a myth
  5. True
  6. AI can be wrong
  7. True
  8. an app translating signs
  9. True
  10. a prediction
  11. test on many groups
  12. balanced data
  13. False
  14. AI can make up facts
  15. an image
  16. predicting
  17. labels added at random
  18. False
  19. True
  20. labelled fruit photos
  21. a prompt
  22. AI
  23. True
  24. AI can mix up numbers
  25. spam
  26. False
  27. a fact
  28. 500 labelled leaf photos
  29. use one group only
  30. a normal program
  31. False
  32. copies of one photo
  33. past weather records
  34. recommending
  35. past weather records
  36. False
  37. uses AI
  38. many varied examples
  39. correct labels
  40. good for training

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