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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 550 · 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 good for training a model? (a) labels added at random (b) only one kind of example (c) correct labels (d) very few examples
  2. 2.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
  3. 3.Which of these is generative AI (it makes something new)? (a) spotting spam (b) writing quiz questions (c) spotting a sick leaf (d) unlocking with a face
  4. 4.Which of these uses AI? (a) a doorbell (b) a digital watch (c) a stopwatch (d) an image generator
  5. 5.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  7. 7.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
  8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  10. 10.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
  11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) composing a new tune (c) creating a cartoon (d) drawing a new picture
  13. 13.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) sleeping (d) singing
  14. 14.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) no, it finds patterns (d) yes, just like us
  15. 15.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  16. 16.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) learns from examples (d) never learns from data
  17. 17.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  18. 18.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  19. 19.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  20. 20.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
  21. 21.True or false: an AI tool making a brand-new tune is AI recognising something. (a) False (b) True
  22. 22.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
  23. 23.🔍 Which is the odd one out? (a) video suggestions (b) a spam filter (c) voice typing (d) a digital watch
  24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  25. 25.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
  26. 26.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) examples of every type (d) blurry, unclear photos
  27. 27.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  28. 28.🔍 Which is the odd one out? (a) a light switch (b) a printed timetable (c) a kitchen weighing scale (d) an app translating signs
  29. 29.True or false: “use one group only” adds to bias. (a) True (b) False
  30. 30.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) never learns from data (d) handles unseen examples
  31. 31.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) labels added at random (d) photos in many lights
  33. 33.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
  34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  35. 35.True or false: “learns from examples” describes how AI works. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) copies of one photo (d) correct labels
  37. 37.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) add more of the same
  38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  39. 39.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  40. 40.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word

Answer key

  1. correct labels
  2. False
  3. writing quiz questions
  4. an image generator
  5. False
  6. good for training
  7. the trained program
  8. True
  9. True
  10. False
  11. a prediction
  12. spotting a sick leaf
  13. predicting
  14. no, it finds patterns
  15. more varied data
  16. never learns from data
  17. False
  18. False
  19. people
  20. True
  21. False
  22. a basic calculator
  23. a digital watch
  24. reduces bias
  25. True
  26. examples of every type
  27. a fact
  28. an app translating signs
  29. True
  30. handles unseen examples
  31. False
  32. photos in many lights
  33. False
  34. balanced data
  35. True
  36. copies of one photo
  37. check who is missing
  38. the model
  39. a myth
  40. what training builds

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