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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 330 · 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 helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
  2. 2.True or false: “a drawing of a cat on the Moon” asks for text. (a) False (b) True
  3. 3.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  5. 5.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
  6. 6.🔍 Which is the odd one out? (a) drawing a new picture (b) drafting a letter (c) writing a new poem (d) turning speech to text
  7. 7.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI can mix up numbers (d) long answers are true
  8. 8.True or false: “typing a new spoken word” is the model. (a) True (b) False
  9. 9.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
  10. 10.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  11. 11.True or false: “skip testing” helps reduce bias. (a) False (b) True
  12. 12.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) nobody at all (d) the Moon
  13. 13.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  14. 14.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  15. 15.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  16. 16.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  17. 17.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  18. 18.🔍 Which is the odd one out? (a) composing a new tune (b) writing quiz questions (c) making up a story (d) unlocking with a face
  19. 19.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  20. 20.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  21. 21.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) video suggestions (b) a printed timetable (c) face unlock on a phone (d) a map predicting traffic
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  24. 24.🔍 Which is the odd one out? (a) drafting a letter (b) suggesting a video (c) predicting rain (d) turning speech to text
  25. 25.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) never learns from data (d) spots patterns in data
  26. 26.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  27. 27.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
  28. 28.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  29. 29.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) very few examples (d) correct labels
  30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  31. 31.True or false: “a drum beat for a dance” asks for an image. (a) False (b) True
  32. 32.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  34. 34.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
  35. 35.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  37. 37.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
  38. 38.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) checking labels twice (d) labels added at random
  40. 40.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False

Answer key

  1. more varied data
  2. False
  3. not AI
  4. a prediction
  5. no, it finds patterns
  6. turning speech to text
  7. AI can mix up numbers
  8. False
  9. better at its task
  10. True
  11. False
  12. people
  13. a fact
  14. past weather records
  15. bad for training
  16. not AI
  17. makes something new
  18. unlocking with a face
  19. good for training
  20. a simple rule is enough
  21. True
  22. a printed timetable
  23. not spam
  24. drafting a letter
  25. never learns from data
  26. the trained program
  27. predicting
  28. AI
  29. very few examples
  30. the model
  31. False
  32. False
  33. False
  34. an image
  35. False
  36. not spam
  37. a prompt
  38. False
  39. checking labels twice
  40. False

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