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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 833 · 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) add more of the same (b) ask different people (c) add varied examples (d) test on many groups
  2. 2.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) sorting photos by face (d) drafting a letter
  4. 4.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  5. 5.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  6. 6.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
  7. 7.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  8. 8.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
  9. 9.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) music or sound (c) text
  10. 10.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  11. 11.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
  12. 12.Which of these is a myth about AI? (a) AI can make up facts (b) AI copies data patterns (c) long answers are true (d) AI can mix up numbers
  13. 13.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
  14. 14.🔍 Which is the odd one out? (a) unlocking with a face (b) writing a new poem (c) writing quiz questions (d) drawing a new picture
  15. 15.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  16. 16.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  17. 17.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
  18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  19. 19.True or false: “labelled fruit photos” is training data. (a) False (b) True
  20. 20.Which of these is a fact about AI? (a) AI always checks facts (b) AI can make up facts (c) AI is never wrong (d) confident means correct
  21. 21.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) AI copies data patterns (d) AI always checks facts
  22. 22.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
  23. 23.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  24. 24.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
  25. 25.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
  26. 26.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) what training builds (d) recorded spoken words
  27. 27.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
  28. 28.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  29. 29.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting a sick leaf (c) spotting spam (d) drawing a new picture
  30. 30.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) spotting a sick leaf (b) spotting spam (c) turning speech to text (d) drafting a letter
  32. 32.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  33. 33.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  34. 34.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) AI is never wrong (b) confident means correct (c) AI always checks facts (d) AI learns from data
  36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  37. 37.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  38. 38.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  39. 39.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recognising (c) predicting (d) recommending
  40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias

Answer key

  1. add more of the same
  2. needs AI (learning)
  3. drafting a letter
  4. needs AI (learning)
  5. True
  6. typing a new spoken word
  7. a fact
  8. makes new content
  9. an image
  10. 500 labelled leaf photos
  11. no, it finds patterns
  12. long answers are true
  13. tomorrow’s rain guess
  14. unlocking with a face
  15. sorts or predicts
  16. a real check
  17. learn from data
  18. True
  19. True
  20. AI can make up facts
  21. AI always checks facts
  22. no, it follows rules
  23. False
  24. predicts likely words
  25. True
  26. what training builds
  27. it learns patterns
  28. sorts or predicts
  29. drawing a new picture
  30. False
  31. drafting a letter
  32. data, model, prediction
  33. True
  34. True
  35. AI learns from data
  36. training data
  37. a basic calculator
  38. True
  39. recommending
  40. reduces bias

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