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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 246 · 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.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  2. 2.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
  3. 3.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
  4. 4.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) does exactly as coded (d) improves with more data
  5. 5.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
  6. 6.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  7. 7.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  8. 8.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
  9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  10. 10.🔍 Which is the odd one out? (a) AI can make up facts (b) AI copies data patterns (c) AI knows everything (d) AI can be wrong
  11. 11.True or false: “same steps every time” describes how AI works. (a) True (b) False
  12. 12.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) use one group only
  14. 14.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  15. 15.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  16. 16.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
  17. 17.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  18. 18.🔍 Which is the odd one out? (a) a calculator (b) a doorbell (c) a torch (d) photos grouped by face
  19. 19.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) follows fixed rules (d) learns from examples
  20. 20.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
  21. 21.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
  22. 22.Which of these is not AI? (a) an image generator (b) a stopwatch (c) an app translating signs (d) photos grouped by face
  23. 23.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  24. 24.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  25. 25.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
  26. 26.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  27. 27.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  28. 28.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) inventing a recipe (b) composing a new tune (c) writing quiz questions (d) reading number plates
  30. 30.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) predicting (c) recommending (d) generating
  31. 31.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
  32. 32.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) checking labels twice (d) many varied examples
  33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  35. 35.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) wrong labels (d) examples of every type
  36. 36.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) uses rules people wrote (d) makes a best guess
  37. 37.🔍 Which is the odd one out? (a) a fan regulator (b) a microwave timer (c) voice typing (d) a light switch
  38. 38.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  39. 39.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  40. 40.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI

Answer key

  1. uses AI
  2. True
  3. False
  4. improves with more data
  5. False
  6. False
  7. no
  8. True
  9. spam
  10. AI knows everything
  11. False
  12. to see if it works
  13. use one group only
  14. a simple rule is enough
  15. labelled fruit photos
  16. False
  17. bad for training
  18. photos grouped by face
  19. learns from examples
  20. the learned patterns
  21. better at its task
  22. a stopwatch
  23. makes something new
  24. good for training
  25. a hallucination
  26. more varied data
  27. not a real check
  28. False
  29. reading number plates
  30. predicting
  31. artificial intelligence
  32. only one kind of example
  33. training data
  34. one-sided data
  35. wrong labels
  36. makes a best guess
  37. voice typing
  38. True
  39. makes something new
  40. not AI

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