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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 800 · 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? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  2. 2.🔍 Which is the odd one out? (a) writing a new poem (b) unlocking with a face (c) composing a new tune (d) drafting a letter
  3. 3.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  4. 4.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  6. 6.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) test on one group only
  7. 7.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  10. 10.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) a spam filter (d) voice typing
  11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  12. 12.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
  13. 13.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  14. 14.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  15. 15.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
  16. 16.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) a map predicting traffic (d) a torch
  17. 17.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI learns from data (d) confident means correct
  18. 18.Which of these adds to bias? (a) check who is missing (b) balance the data (c) use one group only (d) add varied examples
  19. 19.Which of these is a myth about AI? (a) AI learns from data (b) AI is never wrong (c) AI answers need checking (d) AI can be wrong
  20. 20.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
  21. 21.🔍 Which is the odd one out? (a) blurry, unclear photos (b) correct labels (c) new data for testing (d) checking labels twice
  22. 22.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) music or sound (c) text
  23. 23.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
  24. 24.Which of these is not AI? (a) an app translating signs (b) face unlock on a phone (c) an AI chatbot (d) a fan regulator
  25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
  26. 26.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) balance the data (d) ignore complaints
  27. 27.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
  28. 28.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
  29. 29.Which of these is not AI? (a) a spam filter (b) an image generator (c) voice typing (d) a light switch
  30. 30.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  31. 31.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  32. 32.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
  33. 33.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  34. 34.🔍 Which is the odd one out? (a) reading number plates (b) sorting photos by face (c) drawing a new picture (d) turning speech to text
  35. 35.Which of these is not AI? (a) voice typing (b) a map predicting traffic (c) video suggestions (d) a torch
  36. 36.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add varied examples (d) copy old unfair choices
  37. 37.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  39. 39.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) testing on training data (d) labels added at random
  40. 40.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts

Answer key

  1. spam
  2. unlocking with a face
  3. bad for training
  4. uses AI
  5. a prediction
  6. fix wrong labels
  7. True
  8. True
  9. True
  10. a basic calculator
  11. spam
  12. an image
  13. good for training
  14. text
  15. it learns from examples
  16. a torch
  17. AI learns from data
  18. use one group only
  19. AI is never wrong
  20. makes new content
  21. blurry, unclear photos
  22. an image
  23. False
  24. a fan regulator
  25. True
  26. ignore complaints
  27. no, it follows rules
  28. predicts likely words
  29. a light switch
  30. makes something new
  31. False
  32. True
  33. a myth
  34. drawing a new picture
  35. a torch
  36. add varied examples
  37. AI
  38. old emails marked spam
  39. checking labels twice
  40. makes something new

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