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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 907 · 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: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  2. 2.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  3. 3.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  4. 4.🏷️ 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
  5. 5.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) ask different people
  7. 7.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  8. 8.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  9. 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) trust the AI (d) share it online
  10. 10.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  11. 11.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
  12. 12.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  13. 13.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  15. 15.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  17. 17.Which of these uses AI? (a) a fan regulator (b) a torch (c) photos grouped by face (d) a digital watch
  18. 18.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  19. 19.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  20. 20.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) wrong labels (d) labels added at random
  21. 21.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
  22. 22.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  23. 23.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  24. 24.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) ignore complaints
  25. 25.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) correct labels (d) photos in many lights
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
  27. 27.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  28. 28.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  29. 29.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) suggesting a video (c) spotting a sick leaf (d) composing a new tune
  30. 30.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
  31. 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
  32. 32.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  33. 33.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
  34. 34.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
  35. 35.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
  36. 36.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
  37. 37.Which of these is not AI? (a) a map predicting traffic (b) voice typing (c) photos grouped by face (d) a kitchen weighing scale
  38. 38.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  39. 39.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
  40. 40.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new

Answer key

  1. one-sided data
  2. a fact
  3. uses AI
  4. spam
  5. a fact
  6. use one group only
  7. bad for training
  8. a normal program
  9. trust the textbook
  10. False
  11. False
  12. no
  13. a normal program
  14. the learned patterns
  15. it learns patterns
  16. a prediction
  17. photos grouped by face
  18. needs AI (learning)
  19. sorts or predicts
  20. photos in many lights
  21. the learned patterns
  22. False
  23. sorts or predicts
  24. ignore complaints
  25. wrong labels
  26. not spam
  27. labelled fruit photos
  28. a normal program
  29. composing a new tune
  30. True
  31. False
  32. True
  33. its training data
  34. artificial intelligence
  35. learn from data
  36. no, check it anyway
  37. a kitchen weighing scale
  38. good for training
  39. makes new content
  40. makes something new

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