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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 499 · 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 of these helps reduce bias? (a) test on one group only (b) use one group only (c) skip testing (d) test on many groups
  2. 2.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  4. 4.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  5. 5.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  6. 6.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) add varied examples (d) fix wrong labels
  7. 7.Which of these uses AI? (a) a digital watch (b) a printed timetable (c) a doorbell (d) an image generator
  8. 8.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  9. 9.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image
  10. 10.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  11. 11.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  12. 12.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  13. 13.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  14. 14.Which of these adds to bias? (a) use one group only (b) check who is missing (c) add varied examples (d) balance the data
  15. 15.🔍 Which is the odd one out? (a) a fan regulator (b) a doorbell (c) an app translating signs (d) a kitchen weighing scale
  16. 16.True or false: “correct labels” is bad for training a model. (a) True (b) False
  17. 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
  18. 18.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  20. 20.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  21. 21.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) test on many groups
  22. 22.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  23. 23.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
  24. 24.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  26. 26.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) clear, sharp examples (d) testing on training data
  27. 27.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  28. 28.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI learns from data (c) AI can be wrong (d) AI knows everything
  29. 29.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  30. 30.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) spots patterns in data (d) never learns from data
  31. 31.True or false: a book app suggesting a story like your last one is AI generating something new. (a) True (b) False
  32. 32.Which of these is the model? (a) the trained program (b) past weather records (c) flagging a new email (d) naming a new leaf
  33. 33.True or false: an online shop showing “you may also like” is AI generating something new. (a) False (b) True
  34. 34.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  35. 35.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
  36. 36.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  37. 37.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  39. 39.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  40. 40.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False

Answer key

  1. test on many groups
  2. a myth
  3. the model
  4. True
  5. not AI
  6. copy old unfair choices
  7. an image generator
  8. one-sided data
  9. music or sound
  10. not AI
  11. False
  12. False
  13. text
  14. use one group only
  15. an app translating signs
  16. False
  17. False
  18. True
  19. recorded spoken words
  20. data, model, prediction
  21. test on many groups
  22. True
  23. it learns from examples
  24. False
  25. a prediction
  26. clear, sharp examples
  27. uses AI
  28. AI knows everything
  29. AI
  30. spots patterns in data
  31. False
  32. the trained program
  33. False
  34. a simple rule is enough
  35. uses AI
  36. not AI
  37. True
  38. a prediction
  39. a normal program
  40. True

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