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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 174 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  2. 2.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) recommending (c) generating (d) predicting
  3. 3.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
  4. 4.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
  5. 5.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  6. 6.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
  7. 7.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.Which of these is the model? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) labelled fruit photos
  9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  10. 10.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  11. 11.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  12. 12.Which of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) wrong labels (d) very few examples
  13. 13.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  14. 14.🔍 Which is the odd one out? (a) a spam filter (b) voice typing (c) video suggestions (d) a fan regulator
  15. 15.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  16. 16.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recognising (d) recommending
  17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  18. 18.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  19. 19.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  20. 20.Which of these describes how a normal program works? (a) spots patterns in data (b) follows fixed rules (c) learns from examples (d) improves with more data
  21. 21.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  22. 22.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  24. 24.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  25. 25.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  26. 26.🔍 Which is the odd one out? (a) AI knows everything (b) AI can be wrong (c) AI copies data patterns (d) AI learns from data
  27. 27.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  28. 28.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
  29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
  30. 30.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  31. 31.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  32. 32.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  33. 33.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) generating (c) recognising (d) recommending
  34. 34.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  35. 35.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) generating (d) recommending
  36. 36.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  38. 38.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  39. 39.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
  40. 40.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts

Answer key

  1. one-sided data
  2. recognising
  3. uses AI
  4. True
  5. recorded spoken words
  6. better at its task
  7. a simple rule is enough
  8. the trained program
  9. one-sided data
  10. more varied data
  11. not a real check
  12. clear, sharp examples
  13. not a real check
  14. a fan regulator
  15. a real check
  16. recommending
  17. one-sided data
  18. makes something new
  19. True
  20. follows fixed rules
  21. False
  22. True
  23. reduces bias
  24. good for training
  25. good for training
  26. AI knows everything
  27. True
  28. people
  29. True
  30. a normal program
  31. uses AI
  32. False
  33. predicting
  34. its training data
  35. generating
  36. to see if it works
  37. reduces bias
  38. a normal program
  39. makes new content
  40. makes something new

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