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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 983 · 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 bad for training a model? (a) clear, sharp examples (b) very few examples (c) photos in many lights (d) examples of every type
  2. 2.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) uses rules people wrote
  3. 3.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  4. 4.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI always checks facts (d) AI is never wrong
  5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  6. 6.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) correct labels (d) copies of one photo
  7. 7.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) wrong labels (d) photos in many lights
  8. 8.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
  10. 10.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
  11. 11.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
  12. 12.🏷️ 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
  13. 13.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  14. 14.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  16. 16.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) test on one group only
  17. 17.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) test on many groups (d) use one group only
  18. 18.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  19. 19.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a text description (d) a phone number
  20. 20.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  22. 22.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) blurry, unclear photos (d) many varied examples
  23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  24. 24.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  26. 26.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) improves with more data (d) never learns from data
  27. 27.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  28. 28.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
  29. 29.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
  30. 30.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  31. 31.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  32. 32.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) testing on training data (d) checking labels twice
  33. 33.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  34. 34.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
  35. 35.Which of these describes how AI works? (a) does exactly as coded (b) makes a best guess (c) same steps every time (d) one set rule per case
  36. 36.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  37. 37.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) yes, it is smart (d) only at night
  38. 38.🔍 Which is the odd one out? (a) creating a cartoon (b) suggesting a video (c) drafting a letter (d) making up a story
  39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) a list of rules only (d) many labelled photos
  40. 40.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image

Answer key

  1. very few examples
  2. uses rules people wrote
  3. sorts or predicts
  4. AI copies data patterns
  5. one-sided data
  6. copies of one photo
  7. photos in many lights
  8. True
  9. bias from data
  10. False
  11. a basic calculator
  12. spam
  13. makes something new
  14. True
  15. a normal program
  16. add varied examples
  17. use one group only
  18. a fact
  19. a text description
  20. True
  21. balanced data
  22. many varied examples
  23. balanced data
  24. False
  25. a prediction
  26. improves with more data
  27. True
  28. False
  29. recommending
  30. a real check
  31. a myth
  32. checking labels twice
  33. False
  34. the trained program
  35. makes a best guess
  36. to see if it works
  37. no, it follows rules
  38. suggesting a video
  39. many labelled photos
  40. text

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