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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 163 · 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: “makes a best guess” describes how a normal program works. (a) True (b) False
  2. 2.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) a text description (d) your password
  3. 3.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  4. 4.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  5. 5.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) checking labels twice (d) very few examples
  6. 6.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) predicting rain (d) composing a new tune
  7. 7.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) predicting (d) singing
  8. 8.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) use one group only (d) test on many groups
  9. 9.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
  13. 13.Which of these uses AI? (a) a map predicting traffic (b) a light switch (c) a calculator (d) a doorbell
  14. 14.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  15. 15.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) fix wrong labels (d) test on one group only
  17. 17.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) uses rules people wrote (d) gives a likely answer
  18. 18.🔍 Which is the odd one out? (a) a light switch (b) an app translating signs (c) a calculator (d) a doorbell
  19. 19.Which of these is a fact about AI? (a) AI knows everything (b) AI can be wrong (c) long answers are true (d) AI is never wrong
  20. 20.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) past weather records
  21. 21.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  22. 22.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  23. 23.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
  24. 24.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  25. 25.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) photos in many lights (d) labels added at random
  26. 26.🏷️ 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
  27. 27.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) AI knows everything (d) AI always checks facts
  28. 28.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  29. 29.True or false: “AI knows everything” is a myth about AI. (a) False (b) True
  30. 30.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) predicting (c) generating (d) recommending
  31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  32. 32.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) blurry, unclear photos (d) wrong labels
  33. 33.True or false: “wrong labels” is good for training a model. (a) True (b) False
  34. 34.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  35. 35.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  36. 36.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  37. 37.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  39. 39.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  40. 40.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training

Answer key

  1. False
  2. a text description
  3. True
  4. True
  5. very few examples
  6. composing a new tune
  7. predicting
  8. test on many groups
  9. a simple rule is enough
  10. one-sided data
  11. True
  12. people
  13. a map predicting traffic
  14. True
  15. sorts or predicts
  16. fix wrong labels
  17. uses rules people wrote
  18. an app translating signs
  19. AI can be wrong
  20. what training builds
  21. uses AI
  22. True
  23. an image
  24. what training builds
  25. labels added at random
  26. spam
  27. AI learns from data
  28. False
  29. True
  30. recommending
  31. balanced data
  32. checking labels twice
  33. False
  34. the trained program
  35. True
  36. True
  37. a myth
  38. True
  39. AI
  40. good for training

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