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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 385 · 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.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  2. 2.Which of these uses AI? (a) a stopwatch (b) a light switch (c) a microwave timer (d) a voice assistant
  3. 3.Which of these is not AI? (a) video suggestions (b) an AI chatbot (c) voice typing (d) a stopwatch
  4. 4.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) copies of one photo (d) examples of every type
  5. 5.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI copies data patterns (d) AI has real feelings
  6. 6.Which of these describes how a normal program works? (a) one set rule per case (b) gives a likely answer (c) makes a best guess (d) spots patterns in data
  7. 7.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
  8. 8.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  10. 10.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) the learned patterns
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  12. 12.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
  13. 13.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
  14. 14.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recommending (c) recognising (d) predicting
  15. 15.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) follows fixed rules (d) gives a likely answer
  16. 16.True or false: a keyboard guessing your next word is AI generating something new. (a) True (b) False
  17. 17.🔍 Which is the odd one out? (a) spotting a sick leaf (b) composing a new tune (c) predicting rain (d) turning speech to text
  18. 18.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  19. 19.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  20. 20.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  21. 21.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  22. 22.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) same steps every time (d) spots patterns in data
  23. 23.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  24. 24.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) new data for testing (d) labels added at random
  25. 25.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  26. 26.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) labelled fruit photos
  27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  28. 28.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  29. 29.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) checking labels twice (d) wrong labels
  30. 30.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  31. 31.Which of these is a myth about AI? (a) AI can make up facts (b) AI learns from data (c) AI can be wrong (d) AI is never wrong
  32. 32.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  34. 34.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) no, it follows rules (d) only at night
  35. 35.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  36. 36.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
  37. 37.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
  38. 38.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
  39. 39.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI can mix up numbers (d) AI has real feelings
  40. 40.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) turning speech to text (c) reading number plates (d) spotting spam

Answer key

  1. a normal program
  2. a voice assistant
  3. a stopwatch
  4. examples of every type
  5. AI copies data patterns
  6. one set rule per case
  7. the right answer tag
  8. what training builds
  9. bias from data
  10. 500 labelled leaf photos
  11. one-sided data
  12. it learns from examples
  13. predicting
  14. predicting
  15. gives a likely answer
  16. False
  17. composing a new tune
  18. its training data
  19. False
  20. True
  21. not a real check
  22. spots patterns in data
  23. False
  24. new data for testing
  25. False
  26. naming a new leaf
  27. False
  28. True
  29. wrong labels
  30. False
  31. AI is never wrong
  32. AI
  33. reduces bias
  34. no, it follows rules
  35. a real check
  36. True
  37. True
  38. predicts likely words
  39. AI can mix up numbers
  40. creating a cartoon

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