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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 232 · 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 describes how a normal program works? (a) never learns from data (b) handles unseen examples (c) makes a best guess (d) learns from examples
  2. 2.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) wrong labels (d) clear, sharp examples
  3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  4. 4.True or false: “fix wrong labels” adds to bias. (a) False (b) True
  5. 5.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  6. 6.Which of these uses AI? (a) a calculator (b) a stopwatch (c) a digital watch (d) video suggestions
  7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  8. 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  10. 10.Which of these is training data? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) the trained program
  11. 11.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  12. 12.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) does exactly as coded (d) improves with more data
  13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
  14. 14.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  15. 15.True or false: “recorded spoken words” is training data. (a) False (b) True
  16. 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  17. 17.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  19. 19.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
  20. 20.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) copies of one photo (d) very few examples
  21. 21.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  22. 22.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  23. 23.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  24. 24.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) wrong labels (d) clear, sharp examples
  25. 25.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it has a screen (d) it is always right
  26. 26.Which of these uses AI? (a) a stopwatch (b) face unlock on a phone (c) a fan regulator (d) a digital watch
  27. 27.True or false: “naming a new leaf” is the model. (a) True (b) False
  28. 28.True or false: “past weather records” is the model. (a) True (b) False
  29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  30. 30.🏷️ 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
  31. 31.Which of these is not AI? (a) a map predicting traffic (b) a voice assistant (c) voice typing (d) a light switch
  32. 32.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI knows everything (d) AI learns from data
  33. 33.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
  34. 34.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  35. 35.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  36. 36.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
  37. 37.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) artificial intelligence (d) actual information
  38. 38.🔍 Which is the odd one out? (a) a digital watch (b) a kitchen weighing scale (c) an app translating signs (d) a microwave timer
  39. 39.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
  40. 40.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) only one kind of example (d) blurry, unclear photos

Answer key

  1. never learns from data
  2. wrong labels
  3. False
  4. False
  5. True
  6. video suggestions
  7. reduces bias
  8. False
  9. to see if it works
  10. past weather records
  11. True
  12. does exactly as coded
  13. old emails marked spam
  14. AI
  15. True
  16. AI
  17. a simple rule is enough
  18. adds to bias
  19. it may get it wrong
  20. checking labels twice
  21. False
  22. a myth
  23. a normal program
  24. clear, sharp examples
  25. it learns from examples
  26. face unlock on a phone
  27. False
  28. False
  29. training data
  30. spam
  31. a light switch
  32. AI knows everything
  33. True
  34. needs AI (learning)
  35. a simple rule is enough
  36. look in your textbook
  37. artificial intelligence
  38. an app translating signs
  39. the trained program
  40. many varied examples

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