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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 220 · 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.True or false: “ask different people” helps reduce bias. (a) False (b) True
  2. 2.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  3. 3.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  5. 5.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) recommending (c) generating (d) predicting
  6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  7. 7.🔍 Which is the odd one out? (a) predicting rain (b) making up a story (c) inventing a recipe (d) composing a new tune
  8. 8.Which of these is a fact about AI? (a) AI learns from data (b) AI is never wrong (c) AI always checks facts (d) AI has real feelings
  9. 9.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  10. 10.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  11. 11.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) a light switch (b) a microwave timer (c) face unlock on a phone (d) a printed timetable
  13. 13.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  14. 14.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  15. 15.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  16. 16.Which of these is a fact about AI? (a) AI can make up facts (b) AI has real feelings (c) AI is never wrong (d) long answers are true
  17. 17.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) drawing a new picture (d) unlocking with a face
  18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  19. 19.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
  20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  21. 21.Which of these uses AI? (a) a torch (b) a fan regulator (c) a calculator (d) an image generator
  22. 22.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
  23. 23.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  24. 24.🔍 Which is the odd one out? (a) AI always checks facts (b) long answers are true (c) AI can make up facts (d) AI is never wrong
  25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  28. 28.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) examples of every type (d) only one kind of example
  29. 29.🏷️ 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
  30. 30.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  32. 32.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  33. 33.True or false: “use one group only” helps reduce bias. (a) True (b) False
  34. 34.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  35. 35.🔍 Which is the odd one out? (a) a voice assistant (b) an AI chatbot (c) a stopwatch (d) an app translating signs
  36. 36.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  38. 38.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  39. 39.Which of these describes how AI works? (a) improves with more data (b) same steps every time (c) uses rules people wrote (d) never learns from data
  40. 40.💬 What do we call the request you type to a generative AI? (a) a battery (b) a label (c) a prompt (d) a password

Answer key

  1. True
  2. uses AI
  3. a real check
  4. reduces bias
  5. recommending
  6. spam
  7. predicting rain
  8. AI learns from data
  9. a normal program
  10. False
  11. True
  12. face unlock on a phone
  13. it learns patterns
  14. False
  15. False
  16. AI can make up facts
  17. drawing a new picture
  18. not spam
  19. artificial intelligence
  20. reduces bias
  21. an image generator
  22. look in your textbook
  23. AI
  24. AI can make up facts
  25. 500 labelled leaf photos
  26. balanced data
  27. one-sided data
  28. examples of every type
  29. spam
  30. False
  31. labelled fruit photos
  32. a basic calculator
  33. False
  34. bad for training
  35. a stopwatch
  36. uses AI
  37. adds to bias
  38. a fact
  39. improves with more data
  40. a prompt

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