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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 726 · 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.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  2. 2.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  3. 3.Which of these adds to bias? (a) balance the data (b) use one group only (c) ask different people (d) add varied examples
  4. 4.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI copies data patterns (d) AI knows everything
  5. 5.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) test on many groups
  6. 6.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  7. 7.Which of these is not AI? (a) a torch (b) face unlock on a phone (c) photos grouped by face (d) a voice assistant
  8. 8.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  11. 11.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) one set rule per case (d) gives a likely answer
  12. 12.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) same steps every time (d) learns from examples
  14. 14.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI learns from data
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) turning speech to text (c) writing a new poem (d) drafting a letter
  16. 16.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) making up a story (d) unlocking with a face
  17. 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  18. 18.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  19. 19.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  20. 20.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  22. 22.Which of these is generative AI (it makes something new)? (a) making up a story (b) spotting spam (c) spotting a sick leaf (d) predicting rain
  23. 23.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  24. 24.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  25. 25.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  26. 26.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  27. 27.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) naming a new fruit photo
  28. 28.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) generating (d) recommending
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  30. 30.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  31. 31.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
  33. 33.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
  34. 34.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
  35. 35.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  36. 36.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
  37. 37.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
  38. 38.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) labels added at random (d) copies of one photo
  39. 39.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  40. 40.📚 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

Answer key

  1. False
  2. uses AI
  3. use one group only
  4. AI knows everything
  5. test on many groups
  6. AI
  7. a torch
  8. people
  9. a prediction
  10. the learned patterns
  11. gives a likely answer
  12. needs AI (learning)
  13. same steps every time
  14. AI learns from data
  15. turning speech to text
  16. unlocking with a face
  17. False
  18. True
  19. False
  20. False
  21. False
  22. making up a story
  23. a myth
  24. labelled fruit photos
  25. False
  26. AI
  27. naming a new fruit photo
  28. recognising
  29. balanced data
  30. uses AI
  31. a normal program
  32. False
  33. it learns from examples
  34. True
  35. good for training
  36. an image
  37. 500 labelled leaf photos
  38. correct labels
  39. True
  40. a hallucination

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