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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 874 · 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 is not AI? (a) a spam filter (b) face unlock on a phone (c) voice typing (d) a printed timetable
  2. 2.🔍 Which is the odd one out? (a) a voice assistant (b) a stopwatch (c) an app translating signs (d) face unlock on a phone
  3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  4. 4.🔍 Which is the odd one out? (a) spotting a sick leaf (b) spotting spam (c) sorting photos by face (d) making up a story
  5. 5.True or false: “wrong labels” is good for training a model. (a) False (b) True
  6. 6.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  7. 7.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  8. 8.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  9. 9.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  10. 10.🏷️ 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
  11. 11.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
  12. 12.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
  13. 13.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  14. 14.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
  15. 15.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) same steps every time (d) makes a best guess
  16. 16.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  18. 18.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  19. 19.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  20. 20.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) testing on training data (d) many varied examples
  21. 21.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  22. 22.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) use one group only (d) ignore complaints
  23. 23.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI can make up facts (d) confident means correct
  24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) new data for testing (d) checking labels twice
  25. 25.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
  27. 27.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
  28. 28.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
  31. 31.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  32. 32.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  33. 33.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  34. 34.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) checking labels twice (d) blurry, unclear photos
  35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) drawing (d) singing
  36. 36.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  38. 38.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  39. 39.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) naming a new leaf
  40. 40.Which of these is a myth about AI? (a) AI is never wrong (b) AI copies data patterns (c) AI can mix up numbers (d) AI learns from data

Answer key

  1. a printed timetable
  2. a stopwatch
  3. balanced data
  4. making up a story
  5. False
  6. the trained program
  7. True
  8. True
  9. True
  10. spam
  11. recommending
  12. False
  13. a normal program
  14. False
  15. same steps every time
  16. AI
  17. a prediction
  18. True
  19. True
  20. many varied examples
  21. False
  22. add varied examples
  23. confident means correct
  24. testing on training data
  25. False
  26. bias from data
  27. True
  28. False
  29. the trained program
  30. True
  31. a myth
  32. False
  33. a myth
  34. checking labels twice
  35. predicting
  36. True
  37. a prediction
  38. not AI
  39. old emails marked spam
  40. AI is never wrong

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