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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 156 · 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: “copies of one photo” is bad for training a model. (a) True (b) False
  2. 2.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  3. 3.🏷️ 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
  4. 4.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
  6. 6.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  7. 7.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) makes new content (d) charges batteries
  8. 8.🔍 Which is the odd one out? (a) a digital watch (b) an AI chatbot (c) an app translating signs (d) a voice assistant
  9. 9.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  10. 10.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  11. 11.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) AI copies data patterns (d) long answers are true
  12. 12.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  13. 13.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) correct labels (d) very few examples
  14. 14.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  15. 15.🔍 Which is the odd one out? (a) drawing a new picture (b) writing quiz questions (c) inventing a recipe (d) reading number plates
  16. 16.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
  17. 17.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) drafting a letter (d) reading number plates
  18. 18.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
  19. 19.🏷️ 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
  20. 20.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  21. 21.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  22. 22.True or false: “add more of the same” adds to bias. (a) False (b) True
  23. 23.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  25. 25.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
  26. 26.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
  27. 27.🔍 Which is the odd one out? (a) inventing a recipe (b) writing quiz questions (c) drafting a letter (d) spotting a sick leaf
  28. 28.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  29. 29.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) gives a likely answer (d) does exactly as coded
  30. 30.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) skip testing (d) test on many groups
  31. 31.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  32. 32.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  33. 33.🔍 Which is the odd one out? (a) writing quiz questions (b) drawing a new picture (c) writing a new poem (d) predicting rain
  34. 34.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  35. 35.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
  36. 36.True or false: “use one group only” helps reduce bias. (a) True (b) False
  37. 37.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
  38. 38.Which of these is not AI? (a) a kitchen weighing scale (b) voice typing (c) photos grouped by face (d) an image generator
  39. 39.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  40. 40.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False

Answer key

  1. True
  2. good for training
  3. spam
  4. the trained program
  5. 500 labelled leaf photos
  6. False
  7. makes new content
  8. a digital watch
  9. False
  10. a normal program
  11. long answers are true
  12. a myth
  13. correct labels
  14. True
  15. reading number plates
  16. better at its task
  17. drafting a letter
  18. True
  19. spam
  20. False
  21. no
  22. True
  23. good for training
  24. balanced data
  25. False
  26. learn from data
  27. spotting a sick leaf
  28. False
  29. gives a likely answer
  30. test on many groups
  31. True
  32. a myth
  33. predicting rain
  34. a real check
  35. not AI
  36. False
  37. a basic calculator
  38. a kitchen weighing scale
  39. it learns patterns
  40. True

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