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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 276 · 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 not AI? (a) video suggestions (b) face unlock on a phone (c) voice typing (d) a stopwatch
  2. 2.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) naming a new fruit photo (d) past weather records
  3. 3.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  6. 6.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) blurry, unclear photos (d) correct labels
  7. 7.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) an image (c) text
  8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  9. 9.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  10. 10.Which of these describes how AI works? (a) improves with more data (b) follows fixed rules (c) does exactly as coded (d) one set rule per case
  11. 11.Which of these is good for training a model? (a) very few examples (b) examples of every type (c) wrong labels (d) only one kind of example
  12. 12.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  13. 13.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
  14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
  15. 15.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
  16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  17. 17.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  18. 18.True or false: “rain sound effects for a play” asks for music or sound. (a) True (b) False
  19. 19.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  20. 20.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  21. 21.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  22. 22.🔍 Which is the odd one out? (a) only one kind of example (b) checking labels twice (c) copies of one photo (d) wrong labels
  23. 23.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  24. 24.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  25. 25.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) many varied examples (d) very few examples
  26. 26.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  27. 27.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  28. 28.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  29. 29.🔍 Which is the odd one out? (a) only one kind of example (b) blurry, unclear photos (c) labels added at random (d) new data for testing
  30. 30.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
  31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  32. 32.True or false: “add varied examples” adds to bias. (a) False (b) True
  33. 33.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI learns from data (d) AI answers need checking
  34. 34.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  35. 35.Which of these is a myth about AI? (a) AI copies data patterns (b) long answers are true (c) AI learns from data (d) AI answers need checking
  36. 36.🔍 Which is the odd one out? (a) AI knows everything (b) AI learns from data (c) confident means correct (d) AI is never wrong
  37. 37.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recognising (c) recommending (d) generating
  38. 38.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) examples of every type (d) correct labels
  39. 39.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  40. 40.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training

Answer key

  1. a stopwatch
  2. past weather records
  3. needs AI (learning)
  4. no
  5. balanced data
  6. blurry, unclear photos
  7. music or sound
  8. reduces bias
  9. uses AI
  10. improves with more data
  11. examples of every type
  12. False
  13. artificial intelligence
  14. False
  15. True
  16. to see if it works
  17. True
  18. True
  19. not AI
  20. a normal program
  21. AI
  22. checking labels twice
  23. not a real check
  24. True
  25. very few examples
  26. makes something new
  27. True
  28. a real check
  29. new data for testing
  30. no, it finds patterns
  31. one-sided data
  32. False
  33. AI has real feelings
  34. a basic calculator
  35. long answers are true
  36. AI learns from data
  37. recognising
  38. wrong labels
  39. uses AI
  40. bad for training

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