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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 55 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  2. 2.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  3. 3.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) predicting (c) recognising (d) recommending
  4. 4.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  5. 5.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
  6. 6.True or false: “use one group only” helps reduce bias. (a) False (b) True
  7. 7.True or false: “recorded spoken words” is training data. (a) False (b) True
  8. 8.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) clear, sharp examples (d) photos in many lights
  9. 9.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
  10. 10.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) same steps every time (d) makes a best guess
  11. 11.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) writing quiz questions (d) suggesting a video
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
  13. 13.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) use one group only (d) balance the data
  14. 14.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  16. 16.Which of these describes how a normal program works? (a) improves with more data (b) gives a likely answer (c) never learns from data (d) learns from examples
  17. 17.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  19. 19.True or false: “confident means correct” is a myth about AI. (a) True (b) False
  20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  21. 21.Which of these uses AI? (a) a calculator (b) a stopwatch (c) voice typing (d) a torch
  22. 22.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) recommending (d) predicting
  23. 23.🔍 Which is the odd one out? (a) a doorbell (b) a map predicting traffic (c) an app translating signs (d) a voice assistant
  24. 24.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) app installer (d) automatic internet
  25. 25.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  26. 26.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  27. 27.True or false: “labelled fruit photos” is training data. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  29. 29.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  30. 30.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
  31. 31.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
  32. 32.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  33. 33.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  34. 34.Which of these is a myth about AI? (a) AI learns from data (b) AI can mix up numbers (c) confident means correct (d) AI copies data patterns
  35. 35.Which of these uses AI? (a) a fan regulator (b) a map predicting traffic (c) a stopwatch (d) a digital watch
  36. 36.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  37. 37.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  38. 38.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI learns from data
  39. 39.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
  40. 40.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth

Answer key

  1. balanced data
  2. makes something new
  3. predicting
  4. bad for training
  5. text
  6. False
  7. True
  8. very few examples
  9. True
  10. makes a best guess
  11. suggesting a video
  12. few child voices in data
  13. balance the data
  14. uses AI
  15. one-sided data
  16. never learns from data
  17. not AI
  18. True
  19. True
  20. one-sided data
  21. voice typing
  22. recognising
  23. a doorbell
  24. artificial intelligence
  25. no
  26. a simple rule is enough
  27. True
  28. a prediction
  29. a myth
  30. no, it follows rules
  31. many labelled photos
  32. the trained program
  33. reduces bias
  34. confident means correct
  35. a map predicting traffic
  36. False
  37. not a real check
  38. AI learns from data
  39. True
  40. a fact

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