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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 620 · 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: a printed timetable? (a) not AI (b) uses AI
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  3. 3.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
  4. 4.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  6. 6.True or false: an AI tool making a brand-new tune is AI recognising something. (a) False (b) True
  7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  8. 8.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) copies of one photo (d) only one kind of example
  9. 9.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
  10. 10.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) predicting (d) recommending
  11. 11.🔍 Which is the odd one out? (a) a digital watch (b) an AI chatbot (c) face unlock on a phone (d) a spam filter
  12. 12.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) composing a new tune (c) writing quiz questions (d) drafting a letter
  14. 14.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
  15. 15.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) writing a new poem (c) suggesting a video (d) inventing a recipe
  17. 17.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  18. 18.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  19. 19.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  20. 20.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
  21. 21.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) writing a new poem (d) spotting spam
  22. 22.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
  23. 23.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  24. 24.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  26. 26.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  27. 27.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  28. 28.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
  29. 29.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  30. 30.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  31. 31.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) ask different people
  32. 32.Which of these is a fact about AI? (a) AI always checks facts (b) long answers are true (c) AI knows everything (d) AI copies data patterns
  33. 33.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  34. 34.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) labelled fruit photos (d) what training builds
  35. 35.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
  37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  38. 38.Which of these describes how AI works? (a) same steps every time (b) spots patterns in data (c) uses rules people wrote (d) follows fixed rules
  39. 39.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
  40. 40.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower

Answer key

  1. not AI
  2. bias from data
  3. False
  4. good for training
  5. reduces bias
  6. False
  7. the trained program
  8. new data for testing
  9. not AI
  10. recognising
  11. a digital watch
  12. predicts likely words
  13. turning speech to text
  14. True
  15. good for training
  16. suggesting a video
  17. bad for training
  18. False
  19. an image
  20. True
  21. writing a new poem
  22. a text description
  23. people
  24. True
  25. spam
  26. False
  27. False
  28. better at its task
  29. needs AI (learning)
  30. more varied data
  31. use one group only
  32. AI copies data patterns
  33. False
  34. what training builds
  35. not AI
  36. few child voices in data
  37. one-sided data
  38. spots patterns in data
  39. artificial intelligence
  40. to see if it works

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