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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 347 · 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.🏷️ 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
  2. 2.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
  3. 3.Which of these uses AI? (a) a digital watch (b) a calculator (c) a printed timetable (d) face unlock on a phone
  4. 4.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
  5. 5.Which of these is a prediction? (a) what training builds (b) the trained program (c) labelled fruit photos (d) flagging a new email
  6. 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
  7. 7.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
  8. 8.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
  9. 9.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) clear, sharp examples (d) copies of one photo
  10. 10.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) a voice assistant (b) photos grouped by face (c) an app translating signs (d) a torch
  12. 12.🔍 Which is the odd one out? (a) creating a cartoon (b) drafting a letter (c) composing a new tune (d) unlocking with a face
  13. 13.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  14. 14.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) improves with more data (d) spots patterns in data
  15. 15.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
  16. 16.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
  17. 17.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
  18. 18.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
  19. 19.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  20. 20.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) composing a new tune (d) drawing a new picture
  23. 23.Which of these is not AI? (a) face unlock on a phone (b) a map predicting traffic (c) a voice assistant (d) a microwave timer
  24. 24.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) same steps every time (d) improves with more data
  25. 25.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) photos in many lights (d) only one kind of example
  26. 26.True or false: “never learns from data” describes how AI works. (a) True (b) False
  27. 27.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  28. 28.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
  29. 29.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) suggesting a video (c) making up a story (d) composing a new tune
  31. 31.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  32. 32.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
  33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  34. 34.🔍 Which is the odd one out? (a) making up a story (b) suggesting a video (c) spotting spam (d) reading number plates
  35. 35.True or false: “correct labels” is good for training a model. (a) False (b) True
  36. 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
  37. 37.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  38. 38.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  39. 39.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  40. 40.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) improves with more data (d) gives a likely answer

Answer key

  1. spam
  2. use one group only
  3. face unlock on a phone
  4. False
  5. flagging a new email
  6. True
  7. False
  8. a text description
  9. clear, sharp examples
  10. False
  11. a torch
  12. unlocking with a face
  13. good for training
  14. never learns from data
  15. learn from data
  16. look in your textbook
  17. False
  18. trust the textbook
  19. True
  20. needs AI (learning)
  21. True
  22. spotting spam
  23. a microwave timer
  24. improves with more data
  25. only one kind of example
  26. False
  27. makes something new
  28. False
  29. good for training
  30. suggesting a video
  31. not AI
  32. to see if it works
  33. good for training
  34. making up a story
  35. True
  36. a hallucination
  37. a normal program
  38. the learned patterns
  39. good for training
  40. one set rule per case

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