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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 553 · 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.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  2. 2.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  4. 4.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  5. 5.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  6. 6.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  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) not spam (b) spam
  9. 9.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
  10. 10.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) drawing a new picture (b) unlocking with a face (c) reading number plates (d) suggesting a video
  12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  13. 13.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) copies of one photo (d) only one kind of example
  14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  15. 15.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) False (b) True
  16. 16.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  18. 18.Which of these uses AI? (a) voice typing (b) a stopwatch (c) a torch (d) a digital watch
  19. 19.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
  20. 20.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recognising (c) recommending (d) predicting
  22. 22.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
  23. 23.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  25. 25.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  27. 27.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  28. 28.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  29. 29.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a prompt (d) a password
  30. 30.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  31. 31.True or false: “naming a new leaf” is the model. (a) True (b) False
  32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  33. 33.Which of these describes how a normal program works? (a) never learns from data (b) makes a best guess (c) spots patterns in data (d) learns from examples
  34. 34.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) checking labels twice (d) testing on training data
  35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  36. 36.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on one group only (d) add varied examples
  37. 37.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  40. 40.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True

Answer key

  1. makes something new
  2. predicting
  3. what training builds
  4. False
  5. False
  6. needs AI (learning)
  7. recommending
  8. spam
  9. music or sound
  10. True
  11. drawing a new picture
  12. training data
  13. correct labels
  14. False
  15. True
  16. True
  17. not spam
  18. voice typing
  19. not AI
  20. needs AI (learning)
  21. recognising
  22. predicts likely words
  23. a normal program
  24. balanced data
  25. True
  26. reduces bias
  27. not a real check
  28. good for training
  29. a prompt
  30. good for training
  31. False
  32. False
  33. never learns from data
  34. testing on training data
  35. one-sided data
  36. add varied examples
  37. text
  38. True
  39. False
  40. False

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