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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 420 · 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 generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) drafting a letter (d) reading number plates
  2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  3. 3.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  4. 4.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) generating (d) recommending
  5. 5.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
  6. 6.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  7. 7.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
  8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  9. 9.🏷️ 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
  10. 10.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  11. 11.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  12. 12.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  15. 15.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  17. 17.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  19. 19.True or false: “the trained program” is the model. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) spotting a sick leaf (b) predicting rain (c) composing a new tune (d) spotting spam
  21. 21.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  24. 24.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
  25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  26. 26.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) photos grouped by face (b) a spam filter (c) video suggestions (d) a torch
  30. 30.Which of these is a myth about AI? (a) confident means correct (b) AI learns from data (c) AI can make up facts (d) AI copies data patterns
  31. 31.🔍 Which is the odd one out? (a) reading number plates (b) drafting a letter (c) sorting photos by face (d) predicting rain
  32. 32.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  33. 33.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  35. 35.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) asks a person (d) uses magic
  36. 36.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  37. 37.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) a fan regulator (b) a digital watch (c) a doorbell (d) voice typing
  39. 39.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) spotting spam (b) writing a new poem (c) making up a story (d) inventing a recipe

Answer key

  1. drafting a letter
  2. more varied data
  3. makes something new
  4. recommending
  5. False
  6. a normal program
  7. False
  8. one-sided data
  9. spam
  10. True
  11. labelled fruit photos
  12. a simple rule is enough
  13. reduces bias
  14. True
  15. good for training
  16. 500 labelled leaf photos
  17. not a real check
  18. the model
  19. True
  20. composing a new tune
  21. False
  22. False
  23. the learned patterns
  24. True
  25. a prediction
  26. makes something new
  27. balanced data
  28. False
  29. a torch
  30. confident means correct
  31. drafting a letter
  32. False
  33. True
  34. training data
  35. predicts likely words
  36. True
  37. False
  38. voice typing
  39. True
  40. spotting spam

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