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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 113 · 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.🔍 Which is the odd one out? (a) a microwave timer (b) a torch (c) a spam filter (d) a digital watch
  2. 2.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  3. 3.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) add varied examples (d) ask different people
  5. 5.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
  6. 6.True or false: “never learns from data” describes how AI works. (a) False (b) True
  7. 7.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) recommending (d) predicting
  8. 8.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  9. 9.True or false: “the learned patterns” is a prediction. (a) True (b) False
  10. 10.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
  11. 11.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  12. 12.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) recognising (d) generating
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  14. 14.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
  15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
  16. 16.True or false: “testing on training data” is good for training a model. (a) True (b) False
  17. 17.True or false: “correct labels” is good for training a model. (a) True (b) False
  18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  19. 19.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  20. 20.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) no, it finds patterns (d) yes, it gets sad
  21. 21.Which of these is generative AI (it makes something new)? (a) spotting spam (b) suggesting a video (c) unlocking with a face (d) writing a new poem
  22. 22.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  23. 23.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  24. 24.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  25. 25.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) wrong labels (d) many varied examples
  26. 26.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  27. 27.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  28. 28.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  29. 29.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  30. 30.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  31. 31.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) clear, sharp examples (d) many varied examples
  33. 33.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) True (b) False
  34. 34.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  35. 35.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) fix wrong labels (d) ignore complaints
  36. 36.🔍 Which is the odd one out? (a) a torch (b) an AI chatbot (c) a microwave timer (d) a calculator
  37. 37.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) ignore complaints
  38. 38.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
  39. 39.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) flagging a new email
  40. 40.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description

Answer key

  1. a spam filter
  2. uses AI
  3. False
  4. ignore complaints
  5. True
  6. False
  7. predicting
  8. not a real check
  9. False
  10. music or sound
  11. makes something new
  12. recommending
  13. spam
  14. True
  15. few child voices in data
  16. False
  17. True
  18. True
  19. a myth
  20. no, it finds patterns
  21. writing a new poem
  22. uses AI
  23. needs AI (learning)
  24. True
  25. wrong labels
  26. good for training
  27. True
  28. it learns patterns
  29. uses AI
  30. not AI
  31. False
  32. very few examples
  33. True
  34. the trained program
  35. fix wrong labels
  36. an AI chatbot
  37. ignore complaints
  38. True
  39. labelled fruit photos
  40. a text description

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