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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 53 · 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: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) labels added at random (d) testing on training data
  3. 3.True or false: “same steps every time” describes how AI works. (a) True (b) False
  4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) sorting photos by face (c) inventing a recipe (d) drawing a new picture
  5. 5.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) the weather (d) a phone number
  6. 6.🔍 Which is the odd one out? (a) an image generator (b) a stopwatch (c) a digital watch (d) a kitchen weighing scale
  7. 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) ask it to hurry (d) never do maths
  8. 8.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) recommending (d) predicting
  9. 9.True or false: “skip testing” adds to bias. (a) False (b) True
  10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  12. 12.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  13. 13.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
  14. 14.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  15. 15.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) past weather records
  16. 16.True or false: “the trained program” is a prediction. (a) True (b) False
  17. 17.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  18. 18.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
  19. 19.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  21. 21.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
  22. 22.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  23. 23.🔍 Which is the odd one out? (a) making up a story (b) unlocking with a face (c) sorting photos by face (d) suggesting a video
  24. 24.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  25. 25.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  26. 26.True or false: “the learned patterns” is the model. (a) False (b) True
  27. 27.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  29. 29.🏷️ 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) not spam (b) spam
  30. 30.True or false: “rain sound effects for a play” asks for music or sound. (a) True (b) False
  31. 31.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  33. 33.Which of these is not AI? (a) a torch (b) a map predicting traffic (c) voice typing (d) an AI chatbot
  34. 34.🔍 Which is the odd one out? (a) AI learns from data (b) AI copies data patterns (c) AI can be wrong (d) AI always checks facts
  35. 35.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
  36. 36.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) check who is missing
  37. 37.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
  38. 38.True or false: “past weather records” is training data. (a) True (b) False
  39. 39.True or false: “learns from examples” describes how AI works. (a) True (b) False
  40. 40.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias

Answer key

  1. True
  2. checking labels twice
  3. False
  4. sorting photos by face
  5. a text description
  6. an image generator
  7. check it on paper
  8. predicting
  9. True
  10. False
  11. False
  12. True
  13. better at its task
  14. False
  15. past weather records
  16. False
  17. False
  18. trust the textbook
  19. True
  20. a prediction
  21. predicting
  22. makes something new
  23. making up a story
  24. False
  25. False
  26. True
  27. False
  28. a normal program
  29. not spam
  30. True
  31. its training data
  32. bad for training
  33. a torch
  34. AI always checks facts
  35. True
  36. test on one group only
  37. False
  38. True
  39. True
  40. adds to bias

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