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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 451 · 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: “a poster of a rainforest” asks for music or sound. (a) False (b) True
  2. 2.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) balance the data (d) skip testing
  4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) copies of one photo (d) labels added at random
  5. 5.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  6. 6.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
  8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
  9. 9.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  12. 12.True or false: “confident means correct” is a myth about AI. (a) True (b) False
  13. 13.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  16. 16.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  18. 18.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
  19. 19.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
  20. 20.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  21. 21.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  23. 23.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
  24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  27. 27.Which of these uses AI? (a) voice typing (b) a stopwatch (c) a kitchen weighing scale (d) a light switch
  28. 28.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
  29. 29.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) same steps every time (d) learns from examples
  30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  31. 31.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
  32. 32.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) confident means correct (d) AI answers need checking
  33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  35. 35.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) labels added at random (d) photos in many lights
  36. 36.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  37. 37.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  38. 38.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) uses magic (d) copies one website
  39. 39.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
  40. 40.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI

Answer key

  1. False
  2. bad for training
  3. balance the data
  4. checking labels twice
  5. True
  6. not AI
  7. many labelled photos
  8. to see if it works
  9. False
  10. more varied data
  11. its training data
  12. True
  13. not a real check
  14. the model
  15. the model
  16. data, model, prediction
  17. balanced data
  18. False
  19. learn from data
  20. True
  21. False
  22. balanced data
  23. True
  24. balanced data
  25. False
  26. the model
  27. voice typing
  28. False
  29. learns from examples
  30. a prediction
  31. True
  32. AI answers need checking
  33. not spam
  34. not spam
  35. labels added at random
  36. True
  37. False
  38. predicts likely words
  39. False
  40. uses AI

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