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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 208 · 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.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  2. 2.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a calculator (c) face unlock on a phone (d) a doorbell
  3. 3.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
  4. 4.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  5. 5.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) only one kind of example (d) new data for testing
  6. 6.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  7. 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) turning speech to text (b) composing a new tune (c) unlocking with a face (d) sorting photos by face
  9. 9.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  10. 10.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) generating (c) recommending (d) recognising
  11. 11.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  12. 12.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  14. 14.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
  15. 15.True or false: “very few examples” is bad for training a model. (a) True (b) False
  16. 16.Which of these is training data? (a) naming a new leaf (b) the trained program (c) past weather records (d) flagging a new email
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  18. 18.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  19. 19.True or false: “improves with more data” describes how AI works. (a) False (b) True
  20. 20.True or false: “same steps every time” describes how AI works. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) spotting a sick leaf (b) composing a new tune (c) creating a cartoon (d) inventing a recipe
  22. 22.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) spotting a sick leaf (b) creating a cartoon (c) turning speech to text (d) predicting rain
  24. 24.🔍 Which is the odd one out? (a) a doorbell (b) a digital watch (c) a printed timetable (d) photos grouped by face
  25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) inventing a recipe (c) spotting spam (d) writing quiz questions
  26. 26.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  27. 27.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  29. 29.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) False (b) True
  30. 30.🔍 Which is the odd one out? (a) making up a story (b) writing a new poem (c) inventing a recipe (d) spotting spam
  31. 31.🏷️ 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
  32. 32.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
  33. 33.Which of these is not AI? (a) a voice assistant (b) an AI chatbot (c) a calculator (d) photos grouped by face
  34. 34.🔍 Which is the odd one out? (a) a torch (b) a fan regulator (c) a printed timetable (d) a voice assistant
  35. 35.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) sorting photos by face (d) making up a story
  36. 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) inventing a recipe (c) unlocking with a face (d) creating a cartoon
  37. 37.Which of these is a fact about AI? (a) long answers are true (b) AI can be wrong (c) AI is never wrong (d) confident means correct
  38. 38.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  39. 39.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) the trained program (d) 500 labelled leaf photos
  40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias

Answer key

  1. balanced data
  2. face unlock on a phone
  3. it learns patterns
  4. a simple rule is enough
  5. only one kind of example
  6. a simple rule is enough
  7. True
  8. composing a new tune
  9. not AI
  10. recognising
  11. a myth
  12. False
  13. not spam
  14. music or sound
  15. True
  16. past weather records
  17. not spam
  18. a real check
  19. True
  20. False
  21. spotting a sick leaf
  22. True
  23. creating a cartoon
  24. photos grouped by face
  25. spotting spam
  26. good for training
  27. False
  28. a prediction
  29. False
  30. spotting spam
  31. spam
  32. a basic calculator
  33. a calculator
  34. a voice assistant
  35. making up a story
  36. unlocking with a face
  37. AI can be wrong
  38. a myth
  39. flagging a new email
  40. reduces bias

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