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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 254 · 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.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
  2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) suggesting a video (c) making up a story (d) writing quiz questions
  3. 3.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
  4. 4.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  5. 5.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) yes, it gets sad (d) only on weekends
  6. 6.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) examples of every type (d) testing on training data
  7. 7.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.True or false: a car camera reading a speed sign is AI predicting something. (a) True (b) False
  10. 10.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  11. 11.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
  12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
  13. 13.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) copies one website (d) asks a person
  14. 14.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) checking labels twice (d) labels added at random
  15. 15.🏷️ 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
  16. 16.🔍 Which is the odd one out? (a) an AI chatbot (b) video suggestions (c) photos grouped by face (d) a light switch
  17. 17.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) recognising (d) predicting
  18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  19. 19.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can make up facts (d) AI is never wrong
  20. 20.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
  21. 21.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  24. 24.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  25. 25.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
  26. 26.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  27. 27.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
  29. 29.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI can be wrong (d) AI always checks facts
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  32. 32.True or false: “the learned patterns” is the model. (a) True (b) False
  33. 33.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  34. 34.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  35. 35.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  36. 36.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  37. 37.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) use one group only
  38. 38.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  39. 39.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  40. 40.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program

Answer key

  1. makes new content
  2. suggesting a video
  3. no, it follows rules
  4. bad for training
  5. no, it finds patterns
  6. examples of every type
  7. True
  8. False
  9. False
  10. a myth
  11. the learned patterns
  12. more varied data
  13. predicts likely words
  14. labels added at random
  15. spam
  16. a light switch
  17. recognising
  18. reduces bias
  19. AI is never wrong
  20. True
  21. a simple rule is enough
  22. balanced data
  23. spam
  24. not a real check
  25. learn from data
  26. a fact
  27. needs AI (learning)
  28. False
  29. False
  30. AI always checks facts
  31. a prediction
  32. True
  33. a normal program
  34. True
  35. True
  36. bad for training
  37. use one group only
  38. False
  39. not AI
  40. AI

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