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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 526 · 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.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) share it online (d) trust the AI
  2. 2.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
  4. 4.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  5. 5.Which of these is generative AI (it makes something new)? (a) spotting spam (b) sorting photos by face (c) suggesting a video (d) drawing a new picture
  6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  7. 7.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) confident means correct (d) AI copies data patterns
  8. 8.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  9. 9.Which of these is not AI? (a) face unlock on a phone (b) a doorbell (c) a voice assistant (d) an app translating signs
  10. 10.🔍 Which is the odd one out? (a) confident means correct (b) AI always checks facts (c) AI has real feelings (d) AI answers need checking
  11. 11.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) very few examples (d) wrong labels
  12. 12.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  13. 13.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
  14. 14.True or false: “past weather records” is the model. (a) False (b) True
  15. 15.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) predicting (d) recommending
  16. 16.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  17. 17.True or false: “use one group only” adds to bias. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) a digital watch (b) a fan regulator (c) face unlock on a phone (d) a calculator
  19. 19.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) same steps every time (d) handles unseen examples
  20. 20.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) False (b) True
  21. 21.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
  22. 22.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  23. 23.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) creating a cartoon (c) inventing a recipe (d) unlocking with a face
  24. 24.True or false: “a story about a brave ant” asks for text. (a) False (b) True
  25. 25.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI has real feelings (d) AI learns from data
  26. 26.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) making up a story (c) turning speech to text (d) spotting a sick leaf
  27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  28. 28.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  29. 29.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) new data for testing (d) blurry, unclear photos
  30. 30.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  31. 31.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
  32. 32.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  34. 34.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  35. 35.True or false: “labels added at random” is good for training a model. (a) True (b) False
  36. 36.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  37. 37.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  38. 38.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
  39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  40. 40.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False

Answer key

  1. trust the textbook
  2. True
  3. old emails marked spam
  4. False
  5. drawing a new picture
  6. True
  7. AI copies data patterns
  8. uses AI
  9. a doorbell
  10. AI answers need checking
  11. checking labels twice
  12. AI
  13. a basic calculator
  14. False
  15. predicting
  16. a fact
  17. True
  18. face unlock on a phone
  19. handles unseen examples
  20. True
  21. False
  22. False
  23. unlocking with a face
  24. True
  25. AI has real feelings
  26. making up a story
  27. one-sided data
  28. a fact
  29. new data for testing
  30. not a real check
  31. no, it finds patterns
  32. False
  33. a prediction
  34. a normal program
  35. False
  36. a normal program
  37. True
  38. text
  39. training data
  40. True

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