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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 264 · 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) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) 500 labelled leaf photos
  2. 2.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  6. 6.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) share it online (d) trust the textbook
  7. 7.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) blurry, unclear photos (d) checking labels twice
  8. 8.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  9. 9.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI is never wrong (d) AI copies data patterns
  10. 10.True or false: “what training builds” is the model. (a) False (b) True
  11. 11.Which of these is not AI? (a) video suggestions (b) a voice assistant (c) an AI chatbot (d) a printed timetable
  12. 12.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a hallucination (d) a password
  13. 13.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  14. 14.True or false: “skip testing” adds to bias. (a) False (b) True
  15. 15.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) recommending (c) predicting (d) generating
  16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  17. 17.🔍 Which is the odd one out? (a) reading number plates (b) spotting a sick leaf (c) inventing a recipe (d) sorting photos by face
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  19. 19.🔍 Which is the odd one out? (a) writing quiz questions (b) composing a new tune (c) creating a cartoon (d) suggesting a video
  20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  22. 22.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  23. 23.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  24. 24.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
  25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  26. 26.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  27. 27.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  28. 28.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) generating (c) recognising (d) predicting
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  30. 30.Which of these is not AI? (a) photos grouped by face (b) a kitchen weighing scale (c) a voice assistant (d) face unlock on a phone
  31. 31.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
  32. 32.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  33. 33.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  34. 34.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  35. 35.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  38. 38.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) generating (c) recognising (d) recommending
  39. 39.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  40. 40.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI

Answer key

  1. the learned patterns
  2. False
  3. False
  4. False
  5. recorded spoken words
  6. trust the textbook
  7. blurry, unclear photos
  8. a basic calculator
  9. AI is never wrong
  10. True
  11. a printed timetable
  12. a hallucination
  13. no
  14. True
  15. generating
  16. a prediction
  17. inventing a recipe
  18. bias from data
  19. suggesting a video
  20. balanced data
  21. one-sided data
  22. needs AI (learning)
  23. True
  24. True
  25. its training data
  26. needs AI (learning)
  27. False
  28. predicting
  29. spam
  30. a kitchen weighing scale
  31. more varied data
  32. True
  33. a myth
  34. False
  35. a simple rule is enough
  36. not spam
  37. False
  38. generating
  39. True
  40. not AI

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