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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 403 · 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.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  2. 2.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  3. 3.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recommending (c) recognising (d) predicting
  4. 4.🔍 Which is the odd one out? (a) AI can mix up numbers (b) long answers are true (c) confident means correct (d) AI is never wrong
  5. 5.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
  6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
  7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  8. 8.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) spots patterns in data (d) one set rule per case
  9. 9.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) generating (d) recommending
  10. 10.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  11. 11.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  12. 12.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  13. 13.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
  14. 14.True or false: a map app guessing how long a trip will take is AI recognising something. (a) False (b) True
  15. 15.Which of these is a fact about AI? (a) AI always checks facts (b) AI copies data patterns (c) confident means correct (d) AI knows everything
  16. 16.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a password (d) a backup
  17. 17.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) blurry, unclear photos (d) very few examples
  18. 18.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  19. 19.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) only one kind of example (d) new data for testing
  20. 20.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
  21. 21.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
  23. 23.Which of these is good for training a model? (a) copies of one photo (b) correct labels (c) only one kind of example (d) blurry, unclear photos
  24. 24.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) makes new content (d) charges batteries
  25. 25.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  26. 26.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recommending (d) recognising
  27. 27.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  28. 28.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
  29. 29.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  30. 30.Which of these is bad for training a model? (a) blurry, unclear photos (b) correct labels (c) many varied examples (d) photos in many lights
  31. 31.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
  32. 32.True or false: “ignore complaints” adds to bias. (a) False (b) True
  33. 33.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  34. 34.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  35. 35.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  37. 37.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  38. 38.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  39. 39.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) same steps every time (d) spots patterns in data
  40. 40.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add more of the same (d) check who is missing

Answer key

  1. reduces bias
  2. no
  3. recognising
  4. AI can mix up numbers
  5. better at its task
  6. few child voices in data
  7. training data
  8. one set rule per case
  9. recognising
  10. a simple rule is enough
  11. makes something new
  12. uses AI
  13. people
  14. False
  15. AI copies data patterns
  16. a hallucination
  17. checking labels twice
  18. True
  19. new data for testing
  20. a basic calculator
  21. a real check
  22. its training data
  23. correct labels
  24. makes new content
  25. False
  26. recognising
  27. True
  28. an image
  29. True
  30. blurry, unclear photos
  31. an image
  32. True
  33. True
  34. sorts or predicts
  35. False
  36. the trained program
  37. not AI
  38. a fact
  39. same steps every time
  40. check who is missing

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