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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 878 · 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 does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) past weather records
  3. 3.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  4. 4.🔍 Which is the odd one out? (a) a printed timetable (b) a light switch (c) video suggestions (d) a torch
  5. 5.True or false: “old emails marked spam” is the model. (a) False (b) True
  6. 6.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  7. 7.Which of these describes how a normal program works? (a) follows fixed rules (b) gives a likely answer (c) makes a best guess (d) learns from examples
  8. 8.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) old emails marked spam (d) the trained program
  9. 9.True or false: “correct labels” is good for training a model. (a) False (b) True
  10. 10.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
  11. 11.True or false: “same steps every time” describes how AI works. (a) True (b) False
  12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  13. 13.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
  14. 14.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) past weather records (d) the learned patterns
  15. 15.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) testing on training data (d) checking labels twice
  16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  17. 17.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  19. 19.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recognising (d) recommending
  20. 20.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  21. 21.Which of these describes how AI works? (a) one set rule per case (b) spots patterns in data (c) does exactly as coded (d) follows fixed rules
  22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  24. 24.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  25. 25.Which of these is not AI? (a) an AI chatbot (b) a kitchen weighing scale (c) video suggestions (d) photos grouped by face
  26. 26.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  27. 27.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
  28. 28.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  29. 29.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
  30. 30.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
  31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
  32. 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  33. 33.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) learns from examples (d) uses rules people wrote
  34. 34.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
  35. 35.True or false: “the learned patterns” is training data. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) a doorbell (b) voice typing (c) a map predicting traffic (d) a spam filter
  37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) what training builds
  38. 38.🔍 Which is the odd one out? (a) reading number plates (b) spotting spam (c) sorting photos by face (d) drawing a new picture
  39. 39.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  40. 40.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) composing a new tune (d) writing quiz questions

Answer key

  1. a simple rule is enough
  2. naming a new leaf
  3. True
  4. video suggestions
  5. False
  6. False
  7. follows fixed rules
  8. the trained program
  9. True
  10. True
  11. False
  12. few child voices in data
  13. learn from data
  14. naming a new fruit photo
  15. checking labels twice
  16. reduces bias
  17. a myth
  18. spam
  19. recognising
  20. False
  21. spots patterns in data
  22. bias from data
  23. one-sided data
  24. good for training
  25. a kitchen weighing scale
  26. True
  27. the learned patterns
  28. AI
  29. True
  30. needs AI (learning)
  31. it may get it wrong
  32. a real check
  33. learns from examples
  34. a basic calculator
  35. False
  36. a doorbell
  37. old emails marked spam
  38. drawing a new picture
  39. no
  40. spotting spam

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