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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 936 · 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.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) predicting (d) recognising
  2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  3. 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  4. 4.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) flagging a new email (d) old emails marked spam
  5. 5.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
  6. 6.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  7. 7.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) use one group only
  8. 8.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) gives a likely answer (d) uses rules people wrote
  9. 9.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  10. 10.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  11. 11.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
  12. 12.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) a printed timetable (d) voice typing
  13. 13.Which of these is good for training a model? (a) checking labels twice (b) only one kind of example (c) labels added at random (d) testing on training data
  14. 14.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
  15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  17. 17.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  18. 18.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) handles unseen examples (d) same steps every time
  19. 19.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
  20. 20.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) the weather (d) a phone number
  21. 21.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  22. 22.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  23. 23.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
  24. 24.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  26. 26.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) the trained program
  27. 27.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) a light switch (d) photos grouped by face
  28. 28.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
  29. 29.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) copies of one photo (d) photos in many lights
  30. 30.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) add more of the same (d) check who is missing
  31. 31.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
  32. 32.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  33. 33.🔍 Which is the odd one out? (a) a spam filter (b) a map predicting traffic (c) a voice assistant (d) a digital watch
  34. 34.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
  35. 35.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
  37. 37.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) copy old unfair choices
  38. 38.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  39. 39.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias

Answer key

  1. recognising
  2. one-sided data
  3. True
  4. the learned patterns
  5. True
  6. uses AI
  7. test on many groups
  8. uses rules people wrote
  9. False
  10. True
  11. text
  12. voice typing
  13. checking labels twice
  14. music or sound
  15. the model
  16. the trained program
  17. True
  18. handles unseen examples
  19. False
  20. a text description
  21. needs AI (learning)
  22. True
  23. sorts or predicts
  24. not AI
  25. spam
  26. old emails marked spam
  27. a light switch
  28. uses AI
  29. photos in many lights
  30. add more of the same
  31. a basic calculator
  32. needs AI (learning)
  33. a digital watch
  34. no, it follows rules
  35. False
  36. bias from data
  37. copy old unfair choices
  38. it learns patterns
  39. True
  40. reduces bias

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