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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 920 · 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 a prediction? (a) naming a new leaf (b) the trained program (c) recorded spoken words (d) labelled fruit photos
  2. 2.True or false: a phone unlocking when it sees your face is AI predicting something. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) inventing a recipe (b) drafting a letter (c) composing a new tune (d) spotting a sick leaf
  4. 4.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) creating a cartoon (b) writing quiz questions (c) drawing a new picture (d) turning speech to text
  6. 6.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  7. 7.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  8. 8.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  9. 9.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  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.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) reading number plates (c) writing a new poem (d) writing quiz questions
  12. 12.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  15. 15.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  16. 16.True or false: an AI chatbot writing a story about a lost kite is AI recognising something. (a) True (b) False
  17. 17.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) blurry, unclear photos (d) photos in many lights
  18. 18.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
  19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  20. 20.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  21. 21.True or false: “old emails marked spam” is the model. (a) True (b) False
  22. 22.Which of these is generative AI (it makes something new)? (a) spotting spam (b) inventing a recipe (c) predicting rain (d) reading number plates
  23. 23.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
  24. 24.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
  25. 25.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  26. 26.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) many varied examples (d) very few examples
  27. 27.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  28. 28.Which of these uses AI? (a) a printed timetable (b) a stopwatch (c) a light switch (d) photos grouped by face
  29. 29.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) ignore complaints
  30. 30.Which of these is not AI? (a) a microwave timer (b) a map predicting traffic (c) an image generator (d) face unlock on a phone
  31. 31.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  33. 33.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) drawing a new picture (d) making up a story
  34. 34.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
  35. 35.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  36. 36.True or false: “confident means correct” is a fact about AI. (a) False (b) True
  37. 37.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  38. 38.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True

Answer key

  1. naming a new leaf
  2. False
  3. spotting a sick leaf
  4. True
  5. turning speech to text
  6. no
  7. good for training
  8. good for training
  9. not a real check
  10. more varied data
  11. reading number plates
  12. True
  13. spam
  14. a prediction
  15. True
  16. False
  17. blurry, unclear photos
  18. False
  19. adds to bias
  20. sorts or predicts
  21. False
  22. inventing a recipe
  23. True
  24. text
  25. False
  26. very few examples
  27. a fact
  28. photos grouped by face
  29. ignore complaints
  30. a microwave timer
  31. False
  32. bias from data
  33. spotting spam
  34. people
  35. good for training
  36. False
  37. not AI
  38. a simple rule is enough
  39. True
  40. True

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