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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 785 · 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.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  2. 2.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
  3. 3.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) photos in many lights (d) very few examples
  4. 4.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  5. 5.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  8. 8.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
  9. 9.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  10. 10.True or false: “never learns from data” describes how AI works. (a) True (b) False
  11. 11.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
  13. 13.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  14. 14.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) True (b) False
  15. 15.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  16. 16.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  18. 18.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) a text description (d) your password
  19. 19.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) what training builds (d) old emails marked spam
  20. 20.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
  21. 21.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  23. 23.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) yes, it is smart (d) only at night
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  25. 25.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) tomorrow’s rain guess
  26. 26.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  28. 28.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  29. 29.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  30. 30.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  31. 31.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  33. 33.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
  34. 34.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  35. 35.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  36. 36.True or false: “test on one group only” adds to bias. (a) False (b) True
  37. 37.Which of these is a fact about AI? (a) AI copies data patterns (b) AI knows everything (c) confident means correct (d) long answers are true
  38. 38.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
  39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  40. 40.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) handles unseen examples (d) follows fixed rules

Answer key

  1. True
  2. True
  3. photos in many lights
  4. needs AI (learning)
  5. a simple rule is enough
  6. AI
  7. its training data
  8. predicts likely words
  9. False
  10. False
  11. needs AI (learning)
  12. False
  13. False
  14. False
  15. uses AI
  16. True
  17. not spam
  18. a text description
  19. typing a new spoken word
  20. True
  21. bad for training
  22. AI
  23. no, it follows rules
  24. balanced data
  25. recorded spoken words
  26. recommending
  27. training data
  28. the learned patterns
  29. needs AI (learning)
  30. True
  31. a simple rule is enough
  32. training data
  33. it learns from examples
  34. not AI
  35. False
  36. True
  37. AI copies data patterns
  38. True
  39. adds to bias
  40. handles unseen examples

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