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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 405 · 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.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  2. 2.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  3. 3.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  4. 4.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) copies of one photo (d) labels added at random
  5. 5.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
  6. 6.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  7. 7.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) recommending (c) predicting (d) recognising
  8. 8.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  9. 9.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
  10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  11. 11.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  12. 12.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) copies of one photo (d) photos in many lights
  14. 14.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
  15. 15.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
  17. 17.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  19. 19.🔍 Which is the odd one out? (a) confident means correct (b) AI is never wrong (c) AI always checks facts (d) AI learns from data
  20. 20.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  21. 21.True or false: “only one kind of example” is good for training a model. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) AI knows everything (b) AI can make up facts (c) AI copies data patterns (d) AI answers need checking
  23. 23.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  24. 24.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  25. 25.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  26. 26.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) False (b) True
  27. 27.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  28. 28.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) composing a new tune (c) unlocking with a face (d) creating a cartoon
  30. 30.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  31. 31.Which of these is good for training a model? (a) testing on training data (b) correct labels (c) blurry, unclear photos (d) only one kind of example
  32. 32.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) printing (d) charging
  33. 33.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  34. 34.Which of these uses AI? (a) a kitchen weighing scale (b) a doorbell (c) an app translating signs (d) a calculator
  35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  36. 36.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
  37. 37.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  38. 38.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  39. 39.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  40. 40.Which of these is good for training a model? (a) checking labels twice (b) wrong labels (c) testing on training data (d) labels added at random

Answer key

  1. no
  2. True
  3. good for training
  4. correct labels
  5. more varied data
  6. True
  7. recommending
  8. False
  9. a prompt
  10. adds to bias
  11. a fact
  12. True
  13. copies of one photo
  14. check it on paper
  15. True
  16. checking labels twice
  17. True
  18. 500 labelled leaf photos
  19. AI learns from data
  20. bad for training
  21. False
  22. AI knows everything
  23. uses AI
  24. good for training
  25. True
  26. False
  27. True
  28. data, model, prediction
  29. unlocking with a face
  30. makes something new
  31. correct labels
  32. recommending
  33. False
  34. an app translating signs
  35. one-sided data
  36. a basic calculator
  37. True
  38. False
  39. True
  40. checking labels twice

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