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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 90 · 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.Which of these is the model? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) labelled fruit photos
  2. 2.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) checking labels twice (d) labels added at random
  3. 3.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  4. 4.Which of these is bad for training a model? (a) only one kind of example (b) many varied examples (c) clear, sharp examples (d) correct labels
  5. 5.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  6. 6.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a backup (d) a password
  7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  8. 8.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
  9. 9.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
  10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  11. 11.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  12. 12.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
  13. 13.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can make up facts (c) AI learns from data (d) AI is never wrong
  14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  15. 15.Which of these is bad for training a model? (a) testing on training data (b) new data for testing (c) many varied examples (d) correct labels
  16. 16.🔍 Which is the odd one out? (a) drawing a new picture (b) sorting photos by face (c) unlocking with a face (d) suggesting a video
  17. 17.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) sorting photos by face (c) drafting a letter (d) making up a story
  19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  20. 20.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
  21. 21.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) naming a new leaf (d) the trained program
  22. 22.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  23. 23.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  24. 24.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.Which of these is not AI? (a) an AI chatbot (b) a digital watch (c) an app translating signs (d) voice typing
  26. 26.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  27. 27.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  28. 28.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) music or sound (c) an image
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  30. 30.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  31. 31.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only adds numbers (d) only stores files
  32. 32.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
  33. 33.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  34. 34.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  35. 35.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  36. 36.True or false: “never learns from data” describes how AI works. (a) True (b) False
  37. 37.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) wrong labels (d) clear, sharp examples
  39. 39.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  40. 40.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts

Answer key

  1. what training builds
  2. labels added at random
  3. makes something new
  4. only one kind of example
  5. True
  6. a hallucination
  7. balanced data
  8. True
  9. not AI
  10. adds to bias
  11. False
  12. learn from data
  13. AI is never wrong
  14. training data
  15. testing on training data
  16. drawing a new picture
  17. a normal program
  18. sorting photos by face
  19. recorded spoken words
  20. recorded spoken words
  21. 500 labelled leaf photos
  22. True
  23. AI
  24. a simple rule is enough
  25. a digital watch
  26. not a real check
  27. it learns patterns
  28. music or sound
  29. not spam
  30. no
  31. makes new content
  32. the learned patterns
  33. a normal program
  34. False
  35. a fact
  36. False
  37. True
  38. wrong labels
  39. text
  40. sorts or predicts

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