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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 885 · 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.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
  2. 2.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  4. 4.Which of these is good for training a model? (a) new data for testing (b) blurry, unclear photos (c) very few examples (d) only one kind of example
  5. 5.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  6. 6.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  7. 7.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  9. 9.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) examples of every type (d) labels added at random
  10. 10.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  11. 11.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI can mix up numbers (d) confident means correct
  12. 12.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) long answers are true (d) AI can be wrong
  13. 13.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  15. 15.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
  16. 16.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting a sick leaf (c) writing quiz questions (d) spotting spam
  17. 17.🔍 Which is the odd one out? (a) a digital watch (b) photos grouped by face (c) video suggestions (d) voice typing
  18. 18.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
  19. 19.Which of these is the model? (a) past weather records (b) flagging a new email (c) what training builds (d) recorded spoken words
  20. 20.Which of these is not AI? (a) a map predicting traffic (b) face unlock on a phone (c) a voice assistant (d) a doorbell
  21. 21.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  27. 27.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  28. 28.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  29. 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  30. 30.True or false: “correct labels” is good for training a model. (a) False (b) True
  31. 31.True or false: “very few examples” is good for training a model. (a) True (b) False
  32. 32.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI copies data patterns (d) AI has real feelings
  33. 33.True or false: “five quiz questions on fractions” asks for music or sound. (a) True (b) False
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  35. 35.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  36. 36.Which of these describes how a normal program works? (a) never learns from data (b) learns from examples (c) spots patterns in data (d) gives a likely answer
  37. 37.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) unlocking with a face (b) turning speech to text (c) inventing a recipe (d) reading number plates
  39. 39.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  40. 40.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) the weather (d) a phone number

Answer key

  1. True
  2. needs AI (learning)
  3. sorts or predicts
  4. new data for testing
  5. True
  6. False
  7. True
  8. spam
  9. examples of every type
  10. a myth
  11. AI can mix up numbers
  12. AI can be wrong
  13. a real check
  14. spam
  15. 500 labelled leaf photos
  16. writing quiz questions
  17. a digital watch
  18. True
  19. what training builds
  20. a doorbell
  21. makes new content
  22. True
  23. not spam
  24. a prediction
  25. True
  26. the learned patterns
  27. a fact
  28. not AI
  29. a normal program
  30. True
  31. False
  32. AI copies data patterns
  33. False
  34. not spam
  35. False
  36. never learns from data
  37. False
  38. inventing a recipe
  39. a normal program
  40. a text description

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