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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 680 · 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.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  2. 2.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  3. 3.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
  4. 4.True or false: “one set rule per case” describes how AI works. (a) True (b) False
  5. 5.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  6. 6.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  7. 7.Which of these uses AI? (a) a kitchen weighing scale (b) a fan regulator (c) a map predicting traffic (d) a microwave timer
  8. 8.True or false: “a logo idea for the eco club” asks for music or sound. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) creating a cartoon (b) sorting photos by face (c) spotting spam (d) suggesting a video
  10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  12. 12.Which of these is not AI? (a) a microwave timer (b) an image generator (c) face unlock on a phone (d) a voice assistant
  13. 13.🔍 Which is the odd one out? (a) unlocking with a face (b) inventing a recipe (c) turning speech to text (d) sorting photos by face
  14. 14.True or false: “the trained program” is the model. (a) True (b) False
  15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
  16. 16.Which of these describes how a normal program works? (a) uses rules people wrote (b) handles unseen examples (c) spots patterns in data (d) learns from examples
  17. 17.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  18. 18.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) improves with more data (d) same steps every time
  19. 19.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  20. 20.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  21. 21.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
  22. 22.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) writing quiz questions (b) sorting photos by face (c) drafting a letter (d) inventing a recipe
  24. 24.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  25. 25.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI learns from data (d) long answers are true
  26. 26.True or false: “never learns from data” describes how AI works. (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  28. 28.True or false: “improves with more data” describes how AI works. (a) True (b) False
  29. 29.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
  31. 31.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) only stores files (d) makes new content
  32. 32.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) generating (c) predicting (d) recognising
  33. 33.Which of these adds to bias? (a) test on many groups (b) ask different people (c) fix wrong labels (d) copy old unfair choices
  34. 34.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
  35. 35.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) past weather records
  36. 36.True or false: “long answers are true” is a fact about AI. (a) False (b) True
  37. 37.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) same steps every time
  38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  39. 39.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  40. 40.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) learns from examples (d) one set rule per case

Answer key

  1. AI
  2. balanced data
  3. False
  4. False
  5. a myth
  6. not AI
  7. a map predicting traffic
  8. False
  9. creating a cartoon
  10. training data
  11. adds to bias
  12. a microwave timer
  13. inventing a recipe
  14. True
  15. recommending
  16. uses rules people wrote
  17. its training data
  18. improves with more data
  19. a real check
  20. True
  21. learn from data
  22. True
  23. sorting photos by face
  24. bad for training
  25. AI learns from data
  26. False
  27. balanced data
  28. True
  29. a basic calculator
  30. not spam
  31. makes new content
  32. generating
  33. copy old unfair choices
  34. True
  35. typing a new spoken word
  36. False
  37. same steps every time
  38. one-sided data
  39. no, check it anyway
  40. one set rule per case

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