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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 354 · 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.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  2. 2.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
  3. 3.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing quiz questions (c) predicting rain (d) sorting photos by face
  4. 4.True or false: “what training builds” is the model. (a) True (b) False
  5. 5.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
  6. 6.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  8. 8.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
  9. 9.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  10. 10.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  12. 12.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  13. 13.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
  14. 14.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
  15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
  16. 16.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  17. 17.Which of these is not AI? (a) voice typing (b) an image generator (c) an AI chatbot (d) a printed timetable
  18. 18.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  19. 19.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) predicting (c) recognising (d) generating
  20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
  21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drawing a new picture (c) suggesting a video (d) creating a cartoon
  23. 23.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) tomorrow’s rain guess
  24. 24.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI always checks facts (c) AI can make up facts (d) AI can mix up numbers
  25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  26. 26.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  28. 28.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) new data for testing (d) many varied examples
  29. 29.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) correct labels
  31. 31.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
  32. 32.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
  33. 33.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
  34. 34.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
  35. 35.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  36. 36.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  37. 37.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  38. 38.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  39. 39.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  40. 40.🔍 Which is the odd one out? (a) inventing a recipe (b) suggesting a video (c) reading number plates (d) unlocking with a face

Answer key

  1. True
  2. True
  3. writing quiz questions
  4. True
  5. False
  6. needs AI (learning)
  7. sorts or predicts
  8. no, it finds patterns
  9. False
  10. a fact
  11. 500 labelled leaf photos
  12. one-sided data
  13. False
  14. False
  15. to see if it works
  16. a real check
  17. a printed timetable
  18. needs AI (learning)
  19. predicting
  20. many labelled photos
  21. balanced data
  22. suggesting a video
  23. what training builds
  24. AI always checks facts
  25. a prediction
  26. False
  27. adds to bias
  28. very few examples
  29. True
  30. correct labels
  31. an image
  32. people
  33. predicting
  34. better at its task
  35. a fact
  36. good for training
  37. a fact
  38. makes something new
  39. data, model, prediction
  40. inventing a recipe

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