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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 432 · 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 is the odd one out? (a) a voice assistant (b) an AI chatbot (c) an app translating signs (d) a printed timetable
  2. 2.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) predicting (c) recognising (d) generating
  3. 3.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  4. 4.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
  5. 5.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
  6. 6.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  7. 7.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.Which of these is a myth about AI? (a) AI learns from data (b) AI copies data patterns (c) AI can be wrong (d) AI has real feelings
  9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  10. 10.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) turning speech to text (c) suggesting a video (d) composing a new tune
  11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) check who is missing
  12. 12.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) photos in many lights (d) testing on training data
  13. 13.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
  14. 14.True or false: “very few examples” is bad for training a model. (a) True (b) False
  15. 15.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  16. 16.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  17. 17.True or false: “test on one group only” adds to bias. (a) False (b) True
  18. 18.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  19. 19.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) very few examples (d) testing on training data
  20. 20.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) long answers are true (d) AI learns from data
  22. 22.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
  23. 23.True or false: “the learned patterns” is the model. (a) False (b) True
  24. 24.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) what training builds (d) the learned patterns
  25. 25.True or false: “what training builds” is training data. (a) False (b) True
  26. 26.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) skip testing
  27. 27.True or false: “old emails marked spam” is training data. (a) True (b) False
  28. 28.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) one set rule per case (d) uses rules people wrote
  29. 29.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
  30. 30.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) guess (c) ask it to repeat (d) pick a lucky number
  31. 31.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  32. 32.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  33. 33.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) gives a likely answer (d) follows fixed rules
  34. 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  35. 35.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
  36. 36.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) copy old unfair choices (d) ask different people
  37. 37.🔍 Which is the odd one out? (a) AI answers need checking (b) AI knows everything (c) AI copies data patterns (d) AI can make up facts
  38. 38.🔍 Which is the odd one out? (a) a fan regulator (b) a doorbell (c) face unlock on a phone (d) a kitchen weighing scale
  39. 39.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  40. 40.🔍 Which is the odd one out? (a) a voice assistant (b) a kitchen weighing scale (c) a microwave timer (d) a stopwatch

Answer key

  1. a printed timetable
  2. generating
  3. no
  4. True
  5. people
  6. a normal program
  7. needs AI (learning)
  8. AI has real feelings
  9. spam
  10. composing a new tune
  11. check who is missing
  12. testing on training data
  13. the learned patterns
  14. True
  15. False
  16. good for training
  17. True
  18. not AI
  19. many varied examples
  20. True
  21. AI learns from data
  22. False
  23. True
  24. typing a new spoken word
  25. False
  26. skip testing
  27. True
  28. spots patterns in data
  29. not AI
  30. look in your textbook
  31. not AI
  32. makes something new
  33. follows fixed rules
  34. a normal program
  35. no, check it anyway
  36. copy old unfair choices
  37. AI knows everything
  38. face unlock on a phone
  39. no, it can be wrong
  40. a voice assistant

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