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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 5 · 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) correct labels (b) clear, sharp examples (c) examples of every type (d) copies of one photo
  2. 2.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  3. 3.True or false: “improves with more data” describes how AI works. (a) False (b) True
  4. 4.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
  5. 5.Which of these describes how a normal program works? (a) uses rules people wrote (b) makes a best guess (c) learns from examples (d) handles unseen examples
  6. 6.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  7. 7.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  9. 9.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
  10. 10.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  11. 11.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) text (c) music or sound
  12. 12.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) predicting (b) recognising (c) recommending (d) generating
  13. 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  14. 14.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
  15. 15.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  16. 16.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  17. 17.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  18. 18.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
  19. 19.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  20. 20.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
  21. 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
  22. 22.True or false: “learns from examples” describes how AI works. (a) False (b) True
  23. 23.True or false: “labelled fruit photos” is the model. (a) True (b) False
  24. 24.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  25. 25.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) flagging a new email
  26. 26.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI learns from data (d) AI always checks facts
  27. 27.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  28. 28.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  29. 29.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  30. 30.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) blurry, unclear photos (d) copies of one photo
  31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
  32. 32.🔍 Which is the odd one out? (a) AI learns from data (b) confident means correct (c) AI can mix up numbers (d) AI can make up facts
  33. 33.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
  34. 34.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) checking labels twice (d) photos in many lights
  35. 35.True or false: “old emails marked spam” is the model. (a) False (b) True
  36. 36.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recognising (d) recommending
  37. 37.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) long answers are true (d) AI can make up facts
  38. 38.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  40. 40.True or false: “what training builds” is a prediction. (a) False (b) True

Answer key

  1. copies of one photo
  2. makes something new
  3. True
  4. a prompt
  5. uses rules people wrote
  6. bad for training
  7. not a real check
  8. reduces bias
  9. True
  10. not a real check
  11. text
  12. predicting
  13. False
  14. it may get it wrong
  15. a normal program
  16. no, check it anyway
  17. False
  18. False
  19. not AI
  20. a basic calculator
  21. it learns from examples
  22. True
  23. False
  24. needs AI (learning)
  25. flagging a new email
  26. AI learns from data
  27. a fact
  28. not AI
  29. bad for training
  30. checking labels twice
  31. recommending
  32. confident means correct
  33. False
  34. only one kind of example
  35. False
  36. recognising
  37. long answers are true
  38. True
  39. False
  40. False

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