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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 190 · 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: “test on one group only” helps reduce bias. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI is never wrong (d) AI copies data patterns
  3. 3.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
  4. 4.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  5. 5.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
  6. 6.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recommending (c) predicting (d) recognising
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  8. 8.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) balance the data
  9. 9.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  11. 11.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) predicts likely words (d) copies one website
  12. 12.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  13. 13.True or false: “recorded spoken words” is training data. (a) False (b) True
  14. 14.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it learns from examples (d) it has a screen
  15. 15.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  16. 16.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  17. 17.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) AI knows everything (d) AI can be wrong
  18. 18.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  20. 20.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) makes new content (d) charges batteries
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  22. 22.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) suggesting a video (b) reading number plates (c) drafting a letter (d) sorting photos by face
  24. 24.True or false: “use one group only” helps reduce bias. (a) True (b) False
  25. 25.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
  26. 26.Which of these is a fact about AI? (a) AI is never wrong (b) AI copies data patterns (c) AI knows everything (d) AI always checks facts
  27. 27.True or false: “the trained program” is training data. (a) True (b) False
  28. 28.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  29. 29.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) predicting (c) generating (d) recognising
  30. 30.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  31. 31.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) AI has real feelings (d) AI copies data patterns
  32. 32.True or false: “testing on training data” is bad for training a model. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  34. 34.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  35. 35.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  36. 36.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  38. 38.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  39. 39.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) a stopwatch (d) a map predicting traffic

Answer key

  1. False
  2. AI is never wrong
  3. a prompt
  4. learn from data
  5. False
  6. recognising
  7. not spam
  8. balance the data
  9. AI
  10. adds to bias
  11. predicts likely words
  12. what training builds
  13. True
  14. it learns from examples
  15. a basic calculator
  16. not a real check
  17. AI can be wrong
  18. False
  19. balanced data
  20. makes new content
  21. training data
  22. False
  23. drafting a letter
  24. False
  25. False
  26. AI copies data patterns
  27. False
  28. False
  29. recognising
  30. False
  31. AI has real feelings
  32. True
  33. a prediction
  34. a real check
  35. False
  36. sorts or predicts
  37. training data
  38. reduces bias
  39. True
  40. a stopwatch

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