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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 85 · 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.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) what training builds (d) the trained program
  2. 2.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  3. 3.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
  4. 4.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
  5. 5.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  6. 6.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) same steps every time (d) never learns from data
  7. 7.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) past weather records
  8. 8.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) one set rule per case (d) improves with more data
  9. 9.Which of these uses AI? (a) photos grouped by face (b) a torch (c) a doorbell (d) a calculator
  10. 10.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  11. 11.True or false: “rain sound effects for a play” asks for an image. (a) True (b) False
  12. 12.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) writing quiz questions (c) predicting rain (d) composing a new tune
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  15. 15.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
  16. 16.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) predicting (c) generating (d) recognising
  17. 17.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) learns from examples (d) same steps every time
  19. 19.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
  20. 20.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) skip testing
  21. 21.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) check who is missing (d) ignore complaints
  22. 22.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  23. 23.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
  24. 24.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  26. 26.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  27. 27.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI learns from data (c) AI answers need checking (d) AI has real feelings
  28. 28.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
  29. 29.Which of these describes how a normal program works? (a) learns from examples (b) never learns from data (c) improves with more data (d) makes a best guess
  30. 30.🔍 Which is the odd one out? (a) a doorbell (b) a fan regulator (c) a calculator (d) voice typing
  31. 31.🔍 Which is the odd one out? (a) AI has real feelings (b) confident means correct (c) AI knows everything (d) AI can mix up numbers
  32. 32.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on one group only (d) ask different people
  33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  34. 34.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  35. 35.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) text (c) music or sound
  37. 37.Which of these uses AI? (a) a digital watch (b) an AI chatbot (c) a microwave timer (d) a printed timetable
  38. 38.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) predicting (c) recognising (d) recommending
  39. 39.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it learns from examples (d) it is always right
  40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction

Answer key

  1. old emails marked spam
  2. it learns patterns
  3. no, it follows rules
  4. True
  5. True
  6. makes a best guess
  7. tomorrow’s rain guess
  8. improves with more data
  9. photos grouped by face
  10. not a real check
  11. False
  12. not a real check
  13. predicting rain
  14. a prediction
  15. a basic calculator
  16. generating
  17. False
  18. same steps every time
  19. 500 labelled leaf photos
  20. skip testing
  21. ignore complaints
  22. True
  23. an image
  24. needs AI (learning)
  25. uses AI
  26. makes something new
  27. AI has real feelings
  28. makes new content
  29. never learns from data
  30. voice typing
  31. AI can mix up numbers
  32. ask different people
  33. adds to bias
  34. True
  35. False
  36. text
  37. an AI chatbot
  38. recognising
  39. it learns from examples
  40. training data

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