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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 996 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  2. 2.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  3. 3.Which of these uses AI? (a) a printed timetable (b) face unlock on a phone (c) a light switch (d) a fan regulator
  4. 4.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  5. 5.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  6. 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
  7. 7.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  8. 8.Which of these describes how a normal program works? (a) spots patterns in data (b) uses rules people wrote (c) makes a best guess (d) gives a likely answer
  9. 9.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  10. 10.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  12. 12.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) long answers are true (d) AI answers need checking
  14. 14.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) copy old unfair choices (d) add more of the same
  15. 15.🔍 Which is the odd one out? (a) writing a new poem (b) suggesting a video (c) drafting a letter (d) making up a story
  16. 16.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
  17. 17.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
  18. 18.Which of these uses AI? (a) an image generator (b) a calculator (c) a torch (d) a fan regulator
  19. 19.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  20. 20.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.🔍 Which is the odd one out? (a) voice typing (b) photos grouped by face (c) video suggestions (d) a kitchen weighing scale
  22. 22.🔍 Which is the odd one out? (a) many varied examples (b) testing on training data (c) clear, sharp examples (d) examples of every type
  23. 23.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) recommending (d) predicting
  24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) turning speech to text (c) inventing a recipe (d) making up a story
  25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) labelled fruit photos (d) naming a new leaf
  27. 27.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  28. 28.Which of these adds to bias? (a) skip testing (b) balance the data (c) fix wrong labels (d) add varied examples
  29. 29.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) text (c) music or sound
  30. 30.🔍 Which is the odd one out? (a) confident means correct (b) long answers are true (c) AI knows everything (d) AI copies data patterns
  31. 31.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) correct labels (d) wrong labels
  32. 32.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  33. 33.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
  34. 34.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
  35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  37. 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will shut down (d) it will be perfect
  38. 38.Which of these is not AI? (a) a digital watch (b) video suggestions (c) an app translating signs (d) an AI chatbot
  39. 39.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  40. 40.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing

Answer key

  1. one-sided data
  2. makes something new
  3. face unlock on a phone
  4. False
  5. False
  6. True
  7. not AI
  8. uses rules people wrote
  9. a real check
  10. needs AI (learning)
  11. what training builds
  12. False
  13. long answers are true
  14. add varied examples
  15. suggesting a video
  16. False
  17. a hallucination
  18. an image generator
  19. uses AI
  20. needs AI (learning)
  21. a kitchen weighing scale
  22. testing on training data
  23. recognising
  24. turning speech to text
  25. True
  26. naming a new leaf
  27. text
  28. skip testing
  29. an image
  30. AI copies data patterns
  31. correct labels
  32. sorts or predicts
  33. False
  34. False
  35. its training data
  36. the model
  37. it may get it wrong
  38. a digital watch
  39. False
  40. recommending

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