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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 365 · 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 bad for training a model? (a) new data for testing (b) copies of one photo (c) clear, sharp examples (d) photos in many lights
  2. 2.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  3. 3.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  4. 4.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on many groups (d) ignore complaints
  6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) turning speech to text (c) writing a new poem (d) composing a new tune
  8. 8.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
  9. 9.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
  10. 10.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  11. 11.Which of these describes how AI works? (a) gives a likely answer (b) same steps every time (c) does exactly as coded (d) never learns from data
  12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  13. 13.True or false: “balance the data” adds to bias. (a) True (b) False
  14. 14.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) no, it finds patterns (d) only on weekends
  15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  16. 16.True or false: “what training builds” is training data. (a) False (b) True
  17. 17.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) True (b) False
  18. 18.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  19. 19.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
  20. 20.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  22. 22.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  23. 23.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  24. 24.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) sleeping (d) drawing
  25. 25.🔍 Which is the odd one out? (a) a printed timetable (b) a fan regulator (c) an AI chatbot (d) a torch
  26. 26.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
  27. 27.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  28. 28.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking
  32. 32.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  34. 34.True or false: “a drum beat for a dance” asks for text. (a) True (b) False
  35. 35.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  36. 36.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  38. 38.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI knows everything (d) AI can make up facts
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) fix wrong labels (d) use one group only

Answer key

  1. copies of one photo
  2. True
  3. makes something new
  4. True
  5. test on many groups
  6. spam
  7. turning speech to text
  8. False
  9. the right answer tag
  10. not AI
  11. gives a likely answer
  12. bias from data
  13. False
  14. no, it finds patterns
  15. adds to bias
  16. False
  17. False
  18. a myth
  19. True
  20. AI
  21. bad for training
  22. uses AI
  23. its training data
  24. predicting
  25. an AI chatbot
  26. False
  27. sorts or predicts
  28. True
  29. not spam
  30. one-sided data
  31. recommending
  32. not a real check
  33. the trained program
  34. False
  35. more varied data
  36. True
  37. recorded spoken words
  38. False
  39. AI knows everything
  40. fix wrong labels

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