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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 416 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  2. 2.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) False (b) True
  3. 3.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
  4. 4.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  5. 5.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  6. 6.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) follows fixed rules (d) improves with more data
  7. 7.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  8. 8.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) copies one website (d) uses magic
  9. 9.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  10. 10.🔍 Which is the odd one out? (a) a stopwatch (b) a digital watch (c) a kitchen weighing scale (d) face unlock on a phone
  11. 11.🔍 Which is the odd one out? (a) spotting spam (b) suggesting a video (c) turning speech to text (d) writing quiz questions
  12. 12.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  14. 14.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) predicting (c) recognising (d) recommending
  15. 15.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
  16. 16.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  17. 17.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
  18. 18.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) music or sound (c) text
  19. 19.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  20. 20.True or false: “very few examples” is bad for training a model. (a) True (b) False
  21. 21.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) an image (c) text
  22. 22.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
  23. 23.🔍 Which is the odd one out? (a) turning speech to text (b) making up a story (c) reading number plates (d) predicting rain
  24. 24.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  25. 25.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  27. 27.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) correct labels
  28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
  29. 29.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  30. 30.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) naming a new leaf (d) what training builds
  31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) use one group only (d) check who is missing
  32. 32.True or false: “rain sound effects for a play” asks for an image. (a) True (b) False
  33. 33.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
  34. 34.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
  35. 35.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) ask it to repeat (c) guess (d) look in your textbook
  36. 36.Which of these is not AI? (a) a fan regulator (b) face unlock on a phone (c) an AI chatbot (d) a voice assistant
  37. 37.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) flagging a new email
  38. 38.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  39. 39.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
  40. 40.True or false: “wrong labels” is bad for training a model. (a) True (b) False

Answer key

  1. a prediction
  2. True
  3. no, it follows rules
  4. a fact
  5. True
  6. improves with more data
  7. False
  8. predicts likely words
  9. makes something new
  10. face unlock on a phone
  11. writing quiz questions
  12. a simple rule is enough
  13. adds to bias
  14. recommending
  15. a hallucination
  16. not a real check
  17. False
  18. an image
  19. False
  20. True
  21. text
  22. it learns from examples
  23. making up a story
  24. uses AI
  25. a normal program
  26. a prediction
  27. testing on training data
  28. a prediction
  29. True
  30. what training builds
  31. check who is missing
  32. False
  33. False
  34. True
  35. look in your textbook
  36. a fan regulator
  37. old emails marked spam
  38. the trained program
  39. uses AI
  40. True

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