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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 290 · 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.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
  2. 2.Which of these adds to bias? (a) add varied examples (b) skip testing (c) ask different people (d) check who is missing
  3. 3.Which of these describes how a normal program works? (a) spots patterns in data (b) does exactly as coded (c) makes a best guess (d) handles unseen examples
  4. 4.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) fix wrong labels
  5. 5.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new leaf (d) naming a new fruit photo
  6. 6.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  7. 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  8. 8.🏷️ 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
  9. 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) trust the textbook (d) stop studying
  10. 10.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
  11. 11.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) same steps every time
  12. 12.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  13. 13.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  14. 14.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
  15. 15.Which of these is generative AI (it makes something new)? (a) making up a story (b) sorting photos by face (c) spotting a sick leaf (d) predicting rain
  16. 16.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  17. 17.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI knows everything (d) AI copies data patterns
  18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
  19. 19.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
  20. 20.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
  21. 21.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  23. 23.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
  24. 24.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  25. 25.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  26. 26.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  27. 27.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
  28. 28.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  29. 29.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
  30. 30.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
  31. 31.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  33. 33.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
  34. 34.Which of these is a myth about AI? (a) AI learns from data (b) AI always checks facts (c) AI can make up facts (d) AI answers need checking
  35. 35.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
  36. 36.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) makes a best guess (d) one set rule per case
  37. 37.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
  38. 38.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  39. 39.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) test on many groups (d) check who is missing

Answer key

  1. text
  2. skip testing
  3. does exactly as coded
  4. fix wrong labels
  5. labelled fruit photos
  6. True
  7. labelled fruit photos
  8. spam
  9. trust the textbook
  10. no, it can be wrong
  11. same steps every time
  12. True
  13. data, model, prediction
  14. True
  15. making up a story
  16. False
  17. AI copies data patterns
  18. recommending
  19. an image
  20. an image
  21. False
  22. bias from data
  23. music or sound
  24. good for training
  25. the trained program
  26. bad for training
  27. naming a new leaf
  28. True
  29. test on many groups
  30. it learns from examples
  31. False
  32. one-sided data
  33. True
  34. AI always checks facts
  35. makes new content
  36. makes a best guess
  37. True
  38. learn from data
  39. True
  40. skip testing

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