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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 513 · 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 of these helps reduce bias? (a) skip testing (b) ask different people (c) add more of the same (d) test on one group only
  2. 2.True or false: “naming a new leaf” is training data. (a) False (b) True
  3. 3.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
  4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
  5. 5.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) ask different people (d) copy old unfair choices
  6. 6.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  7. 7.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) old emails marked spam (d) the learned patterns
  8. 8.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
  9. 9.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
  10. 10.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
  11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  12. 12.True or false: “improves with more data” describes how AI works. (a) False (b) True
  13. 13.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) spotting a sick leaf (b) predicting rain (c) creating a cartoon (d) sorting photos by face
  15. 15.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  16. 16.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) past weather records
  17. 17.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  18. 18.Which of these describes how a normal program works? (a) improves with more data (b) follows fixed rules (c) gives a likely answer (d) learns from examples
  19. 19.🔍 Which is the odd one out? (a) a calculator (b) a light switch (c) a torch (d) a voice assistant
  20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
  21. 21.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  22. 22.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
  23. 23.🔍 Which is the odd one out? (a) a microwave timer (b) face unlock on a phone (c) a stopwatch (d) a calculator
  24. 24.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  26. 26.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  27. 27.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
  28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) ignore complaints (d) add varied examples
  31. 31.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) check who is missing (d) fix wrong labels
  32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  33. 33.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) drafting a letter (d) reading number plates
  35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  36. 36.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  37. 37.Which of these is a fact about AI? (a) AI has real feelings (b) AI can be wrong (c) AI always checks facts (d) AI knows everything
  38. 38.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) gives a likely answer (d) never learns from data
  39. 39.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  40. 40.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False

Answer key

  1. ask different people
  2. False
  3. False
  4. recommending
  5. copy old unfair choices
  6. False
  7. naming a new fruit photo
  8. False
  9. a basic calculator
  10. predicting
  11. training data
  12. True
  13. True
  14. creating a cartoon
  15. not AI
  16. past weather records
  17. False
  18. follows fixed rules
  19. a voice assistant
  20. few child voices in data
  21. it learns patterns
  22. it learns from examples
  23. face unlock on a phone
  24. needs AI (learning)
  25. makes something new
  26. True
  27. True
  28. spam
  29. one-sided data
  30. ignore complaints
  31. add more of the same
  32. spam
  33. False
  34. reading number plates
  35. a prediction
  36. True
  37. AI can be wrong
  38. never learns from data
  39. good for training
  40. False

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