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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 206 · 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: “examples of every type” is good for training a model. (a) True (b) False
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  5. 5.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) same steps every time (d) follows fixed rules
  6. 6.True or false: “past weather records” is training data. (a) False (b) True
  7. 7.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  8. 8.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
  9. 9.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) flagging a new email
  10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  11. 11.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) inventing a recipe (b) making up a story (c) predicting rain (d) writing quiz questions
  13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  14. 14.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) fix wrong labels (d) balance the data
  15. 15.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
  16. 16.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
  17. 17.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  18. 18.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  19. 19.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  20. 20.True or false: an online shop showing “you may also like” is AI predicting something. (a) False (b) True
  21. 21.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) a torch (d) voice typing
  23. 23.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) gives a likely answer (d) does exactly as coded
  24. 24.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
  25. 25.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on one group only (d) test on many groups
  26. 26.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) only at night (d) yes, it is smart
  27. 27.Which of these is not AI? (a) a microwave timer (b) photos grouped by face (c) voice typing (d) an AI chatbot
  28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) predicting (d) recognising
  29. 29.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
  30. 30.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) recognising (c) generating (d) recommending
  31. 31.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
  32. 32.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) AI can make up facts (d) confident means correct
  33. 33.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
  34. 34.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  37. 37.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  38. 38.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) a microwave timer (b) an image generator (c) voice typing (d) a voice assistant
  40. 40.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) AI copies data patterns (d) AI is never wrong

Answer key

  1. True
  2. reduces bias
  3. a prediction
  4. the learned patterns
  5. handles unseen examples
  6. True
  7. False
  8. False
  9. old emails marked spam
  10. training data
  11. True
  12. predicting rain
  13. reduces bias
  14. copy old unfair choices
  15. text
  16. False
  17. True
  18. one-sided data
  19. good for training
  20. False
  21. True
  22. a torch
  23. does exactly as coded
  24. False
  25. test on many groups
  26. no, it follows rules
  27. a microwave timer
  28. predicting
  29. no, it finds patterns
  30. recommending
  31. no
  32. AI can make up facts
  33. True
  34. sorts or predicts
  35. the model
  36. spam
  37. True
  38. False
  39. a microwave timer
  40. AI copies data patterns

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