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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 356 · 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.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) add varied examples
  3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  5. 5.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  6. 6.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
  7. 7.Which of these adds to bias? (a) balance the data (b) ask different people (c) use one group only (d) add varied examples
  8. 8.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  9. 9.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  11. 11.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
  12. 12.True or false: “old emails marked spam” is training data. (a) True (b) False
  13. 13.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  14. 14.Which of these is not AI? (a) an image generator (b) a voice assistant (c) a kitchen weighing scale (d) an AI chatbot
  15. 15.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  16. 16.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  17. 17.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  18. 18.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
  19. 19.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) makes a best guess (d) one set rule per case
  20. 20.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) music or sound (c) an image
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  22. 22.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) predicting (c) recommending (d) recognising
  23. 23.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
  24. 24.Which of these uses AI? (a) face unlock on a phone (b) a light switch (c) a digital watch (d) a torch
  25. 25.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  26. 26.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) only one kind of example (d) clear, sharp examples
  28. 28.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  29. 29.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
  30. 30.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  31. 31.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  34. 34.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  35. 35.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  36. 36.🔍 Which is the odd one out? (a) a light switch (b) face unlock on a phone (c) a spam filter (d) an image generator
  37. 37.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  38. 38.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  39. 39.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) improves with more data (d) never learns from data
  40. 40.Which of these uses AI? (a) a digital watch (b) a stopwatch (c) a calculator (d) an image generator

Answer key

  1. makes something new
  2. add varied examples
  3. the model
  4. it learns patterns
  5. False
  6. trust the textbook
  7. use one group only
  8. False
  9. learn from data
  10. reduces bias
  11. music or sound
  12. True
  13. sorts or predicts
  14. a kitchen weighing scale
  15. False
  16. not AI
  17. False
  18. what training builds
  19. makes a best guess
  20. text
  21. the model
  22. predicting
  23. True
  24. face unlock on a phone
  25. more varied data
  26. True
  27. clear, sharp examples
  28. True
  29. it learns from examples
  30. bad for training
  31. a fact
  32. adds to bias
  33. good for training
  34. its training data
  35. a fact
  36. a light switch
  37. a normal program
  38. a simple rule is enough
  39. never learns from data
  40. an image generator

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