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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 149 · 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: “recorded spoken words” is a prediction. (a) False (b) True
  2. 2.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  3. 3.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
  4. 4.Which of these uses AI? (a) a doorbell (b) a torch (c) a light switch (d) a spam filter
  5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
  6. 6.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
  7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  8. 8.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  9. 9.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  10. 10.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
  11. 11.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  12. 12.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  13. 13.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  14. 14.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  15. 15.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  17. 17.Which of these is a fact about AI? (a) confident means correct (b) AI has real feelings (c) AI always checks facts (d) AI learns from data
  18. 18.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
  19. 19.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  20. 20.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  21. 21.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  22. 22.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
  24. 24.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recommending (c) predicting (d) recognising
  25. 25.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  26. 26.True or false: “testing on training data” is good for training a model. (a) False (b) True
  27. 27.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  29. 29.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  30. 30.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.Which of these is good for training a model? (a) clear, sharp examples (b) copies of one photo (c) labels added at random (d) only one kind of example
  32. 32.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the trained program (d) past weather records
  33. 33.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
  34. 34.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) yes, just like us (d) no, it finds patterns
  35. 35.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  36. 36.Which of these is not AI? (a) an AI chatbot (b) a map predicting traffic (c) a digital watch (d) face unlock on a phone
  37. 37.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) test on many groups (d) balance the data
  38. 38.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) gives a likely answer (d) one set rule per case
  39. 39.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  40. 40.True or false: “does exactly as coded” describes how AI works. (a) True (b) False

Answer key

  1. False
  2. a myth
  3. True
  4. a spam filter
  5. 500 labelled leaf photos
  6. an image
  7. one-sided data
  8. not a real check
  9. a myth
  10. True
  11. True
  12. a normal program
  13. data, model, prediction
  14. a real check
  15. a simple rule is enough
  16. True
  17. AI learns from data
  18. True
  19. AI
  20. a myth
  21. reduces bias
  22. AI
  23. recommending
  24. recommending
  25. uses AI
  26. False
  27. False
  28. AI
  29. False
  30. False
  31. clear, sharp examples
  32. past weather records
  33. True
  34. no, it finds patterns
  35. False
  36. a digital watch
  37. add more of the same
  38. gives a likely answer
  39. to see if it works
  40. False

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