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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 63 · 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: “use one group only” adds to bias. (a) False (b) True
  2. 2.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI learns from data
  4. 4.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  5. 5.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
  7. 7.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.Which of these is bad for training a model? (a) new data for testing (b) labels added at random (c) correct labels (d) checking labels twice
  9. 9.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  10. 10.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  11. 11.🔍 Which is the odd one out? (a) a spam filter (b) a map predicting traffic (c) a kitchen weighing scale (d) an image generator
  12. 12.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on one group only (d) fix wrong labels
  13. 13.True or false: “recorded spoken words” is the model. (a) False (b) True
  14. 14.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
  15. 15.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  16. 16.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
  17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  18. 18.True or false: “what training builds” is the model. (a) True (b) False
  19. 19.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
  20. 20.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  21. 21.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
  22. 22.True or false: a music app suggesting a song you may like is AI recognising something. (a) False (b) True
  23. 23.True or false: “learns from examples” describes how AI works. (a) True (b) False
  24. 24.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  25. 25.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.True or false: “the trained program” is the model. (a) True (b) False
  27. 27.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  28. 28.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
  29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  30. 30.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  32. 32.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  33. 33.Which of these describes how AI works? (a) handles unseen examples (b) follows fixed rules (c) does exactly as coded (d) uses rules people wrote
  34. 34.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  35. 35.Which of these is not AI? (a) a map predicting traffic (b) photos grouped by face (c) a calculator (d) voice typing
  36. 36.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  38. 38.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  40. 40.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new leaf (d) old emails marked spam

Answer key

  1. True
  2. needs AI (learning)
  3. AI learns from data
  4. False
  5. uses AI
  6. its training data
  7. a simple rule is enough
  8. labels added at random
  9. labelled fruit photos
  10. sorts or predicts
  11. a kitchen weighing scale
  12. test on one group only
  13. False
  14. True
  15. False
  16. learn from data
  17. training data
  18. True
  19. text
  20. data, model, prediction
  21. False
  22. False
  23. True
  24. uses AI
  25. needs AI (learning)
  26. True
  27. makes something new
  28. better at its task
  29. a prediction
  30. a simple rule is enough
  31. training data
  32. a fact
  33. handles unseen examples
  34. True
  35. a calculator
  36. False
  37. good for training
  38. bad for training
  39. one-sided data
  40. the learned patterns

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