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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 152 · 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 is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI learns from data
  2. 2.Which of these uses AI? (a) a stopwatch (b) a microwave timer (c) face unlock on a phone (d) a kitchen weighing scale
  3. 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) predicting (c) generating (d) recommending
  4. 4.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) making up a story (c) unlocking with a face (d) drawing a new picture
  6. 6.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  7. 7.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) does exactly as coded (d) uses rules people wrote
  8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  9. 9.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  10. 10.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) sorting photos by face (d) composing a new tune
  11. 11.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
  12. 12.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) many varied examples (d) testing on training data
  13. 13.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
  14. 14.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) test on many groups
  15. 15.🎨 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
  16. 16.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) False (b) True
  17. 17.True or false: “never learns from data” describes how AI works. (a) True (b) False
  18. 18.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
  19. 19.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) test on one group only (d) copy old unfair choices
  20. 20.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
  21. 21.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  22. 22.Which of these is a fact about AI? (a) AI always checks facts (b) AI has real feelings (c) AI learns from data (d) AI is never wrong
  23. 23.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
  24. 24.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  25. 25.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  27. 27.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
  28. 28.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) photos grouped by face (d) an app translating signs
  29. 29.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
  30. 30.🧮 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
  31. 31.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  32. 32.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) recorded spoken words
  33. 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  34. 34.True or false: a car camera reading a speed sign is AI recommending something. (a) True (b) False
  35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  37. 37.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  38. 38.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
  39. 39.Which of these is training data? (a) past weather records (b) the learned patterns (c) what training builds (d) naming a new leaf
  40. 40.Which of these is not AI? (a) an AI chatbot (b) video suggestions (c) a voice assistant (d) a light switch

Answer key

  1. AI always checks facts
  2. face unlock on a phone
  3. recommending
  4. a simple rule is enough
  5. unlocking with a face
  6. a real check
  7. improves with more data
  8. a prediction
  9. a myth
  10. composing a new tune
  11. makes new content
  12. testing on training data
  13. recognising
  14. test on many groups
  15. an image
  16. False
  17. False
  18. True
  19. ask different people
  20. look in your textbook
  21. False
  22. AI learns from data
  23. False
  24. not AI
  25. True
  26. training data
  27. tomorrow’s rain guess
  28. a light switch
  29. music or sound
  30. no, it follows rules
  31. needs AI (learning)
  32. flagging a new email
  33. False
  34. False
  35. True
  36. a prediction
  37. False
  38. trust the textbook
  39. past weather records
  40. a light switch

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