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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 298 · 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.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) predicting (d) singing
  2. 2.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  3. 3.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) creating a cartoon (c) sorting photos by face (d) inventing a recipe
  5. 5.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  6. 6.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  7. 7.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) photos in many lights (d) copies of one photo
  8. 8.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI knows everything (d) AI can make up facts
  9. 9.True or false: “use one group only” helps reduce bias. (a) True (b) False
  10. 10.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  11. 11.True or false: “a story about a brave ant” asks for text. (a) True (b) False
  12. 12.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  15. 15.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
  16. 16.Which of these uses AI? (a) a kitchen weighing scale (b) a spam filter (c) a calculator (d) a stopwatch
  17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  19. 19.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  20. 20.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  21. 21.Which of these is training data? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
  22. 22.True or false: “new data for testing” is bad for training a model. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) labels added at random (d) examples of every type
  24. 24.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  25. 25.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  26. 26.🔍 Which is the odd one out? (a) writing quiz questions (b) reading number plates (c) unlocking with a face (d) predicting rain
  27. 27.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
  28. 28.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
  29. 29.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) same steps every time (d) gives a likely answer
  30. 30.Which of these describes how a normal program works? (a) improves with more data (b) one set rule per case (c) spots patterns in data (d) learns from examples
  31. 31.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) turning speech to text (d) drawing a new picture
  32. 32.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  33. 33.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  34. 34.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  35. 35.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  36. 36.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  37. 37.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  38. 38.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
  39. 39.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
  40. 40.True or false: “wrong labels” is bad for training a model. (a) False (b) True

Answer key

  1. predicting
  2. False
  3. not a real check
  4. sorting photos by face
  5. a normal program
  6. good for training
  7. copies of one photo
  8. AI knows everything
  9. False
  10. uses AI
  11. True
  12. a real check
  13. a prediction
  14. to see if it works
  15. typing a new spoken word
  16. a spam filter
  17. reduces bias
  18. balanced data
  19. a normal program
  20. False
  21. old emails marked spam
  22. False
  23. examples of every type
  24. AI
  25. a basic calculator
  26. writing quiz questions
  27. True
  28. True
  29. gives a likely answer
  30. one set rule per case
  31. drawing a new picture
  32. True
  33. False
  34. needs AI (learning)
  35. makes something new
  36. makes something new
  37. bad for training
  38. True
  39. an image
  40. True

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