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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 159 · 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: “test on many groups” adds to bias. (a) True (b) False
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
  3. 3.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  4. 4.Which of these is a fact about AI? (a) AI copies data patterns (b) confident means correct (c) long answers are true (d) AI knows everything
  5. 5.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  6. 6.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  7. 7.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
  8. 8.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) test on one group only (d) ignore complaints
  9. 9.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  10. 10.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) check who is missing
  11. 11.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  12. 12.Which of these uses AI? (a) a microwave timer (b) a doorbell (c) voice typing (d) a stopwatch
  13. 13.True or false: “labelled fruit photos” is the model. (a) False (b) True
  14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  15. 15.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) clear, sharp examples (d) many varied examples
  17. 17.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) face unlock on a phone (d) a doorbell
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  19. 19.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  20. 20.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) making up a story (c) suggesting a video (d) inventing a recipe
  22. 22.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) many varied examples (d) very few examples
  23. 23.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) AI always checks facts (d) AI can make up facts
  24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  26. 26.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  27. 27.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  28. 28.🔢 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) never do maths (d) ask it to hurry
  29. 29.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  30. 30.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) recommending (d) predicting
  31. 31.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
  32. 32.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
  33. 33.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) reading number plates (c) turning speech to text (d) drafting a letter
  34. 34.True or false: “ask different people” helps reduce bias. (a) False (b) True
  35. 35.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  36. 36.🎨 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
  37. 37.🔍 Which is the odd one out? (a) confident means correct (b) AI can make up facts (c) AI learns from data (d) AI can mix up numbers
  38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) photos in many lights (d) testing on training data
  39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  40. 40.True or false: “what training builds” is a prediction. (a) True (b) False

Answer key

  1. False
  2. few child voices in data
  3. a normal program
  4. AI copies data patterns
  5. makes something new
  6. the trained program
  7. past weather records
  8. balance the data
  9. not AI
  10. check who is missing
  11. False
  12. voice typing
  13. False
  14. one-sided data
  15. True
  16. very few examples
  17. face unlock on a phone
  18. a normal program
  19. False
  20. no, check it anyway
  21. suggesting a video
  22. many varied examples
  23. AI can make up facts
  24. bad for training
  25. False
  26. AI
  27. True
  28. check it on paper
  29. bad for training
  30. recommending
  31. better at its task
  32. no, it finds patterns
  33. drafting a letter
  34. True
  35. needs AI (learning)
  36. an image
  37. confident means correct
  38. photos in many lights
  39. bias from data
  40. False

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