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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 918 · 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: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  2. 2.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  3. 3.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) an image (c) music or sound
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  5. 5.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
  6. 6.🔍 Which is the odd one out? (a) AI can be wrong (b) AI learns from data (c) AI has real feelings (d) AI can mix up numbers
  7. 7.True or false: “ask different people” helps reduce bias. (a) False (b) True
  8. 8.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) learns from examples (d) one set rule per case
  9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  10. 10.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) labels added at random (d) photos in many lights
  11. 11.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) examples of every type (d) only one kind of example
  12. 12.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) AI can mix up numbers (d) long answers are true
  14. 14.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
  15. 15.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  16. 16.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
  17. 17.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) makes new content (d) only stores files
  18. 18.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  19. 19.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) handles unseen examples (d) makes a best guess
  20. 20.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
  21. 21.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  22. 22.Which of these is a myth about AI? (a) AI can be wrong (b) AI knows everything (c) AI can make up facts (d) AI copies data patterns
  23. 23.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the textbook (c) stop studying (d) trust the AI
  24. 24.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
  25. 25.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recommending (c) predicting (d) recognising
  26. 26.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  28. 28.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
  29. 29.Which of these adds to bias? (a) ask different people (b) balance the data (c) fix wrong labels (d) copy old unfair choices
  30. 30.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) add more of the same (d) copy old unfair choices
  31. 31.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
  32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  33. 33.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) drawing (d) sleeping
  34. 34.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
  35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) generating (c) recognising (d) predicting
  36. 36.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  38. 38.🔍 Which is the odd one out? (a) a light switch (b) a fan regulator (c) a kitchen weighing scale (d) an app translating signs
  39. 39.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
  40. 40.True or false: “write a poem about the monsoon” asks for an image. (a) True (b) False

Answer key

  1. training data
  2. no
  3. an image
  4. spam
  5. the right answer tag
  6. AI has real feelings
  7. True
  8. learns from examples
  9. data, model, prediction
  10. photos in many lights
  11. examples of every type
  12. True
  13. AI can mix up numbers
  14. text
  15. AI
  16. False
  17. makes new content
  18. not AI
  19. never learns from data
  20. past weather records
  21. a real check
  22. AI knows everything
  23. trust the textbook
  24. False
  25. recommending
  26. True
  27. balanced data
  28. False
  29. copy old unfair choices
  30. check who is missing
  31. artificial intelligence
  32. False
  33. predicting
  34. no, it can be wrong
  35. predicting
  36. not AI
  37. spam
  38. an app translating signs
  39. False
  40. False

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