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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 565 · 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: “examples of every type” is bad for training a model. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) AI knows everything (b) AI can be wrong (c) AI learns from data (d) AI answers need checking
  3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  5. 5.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) clear, sharp examples (d) wrong labels
  6. 6.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI learns from data (d) AI knows everything
  7. 7.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  8. 8.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  9. 9.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) use one group only (d) ask different people
  11. 11.Which of these is training data? (a) past weather records (b) naming a new leaf (c) tomorrow’s rain guess (d) flagging a new email
  12. 12.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  13. 13.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  14. 14.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  15. 15.True or false: “same steps every time” describes how AI works. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) checking labels twice (d) labels added at random
  17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
  18. 18.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) check it on paper (d) copy it straight away
  19. 19.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) add varied examples (d) use one group only
  20. 20.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  21. 21.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) recognising (c) predicting (d) generating
  22. 22.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  23. 23.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
  24. 24.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  25. 25.True or false: “a drawing of a cat on the Moon” asks for an image. (a) True (b) False
  26. 26.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  27. 27.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  28. 28.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) add more of the same (d) copy old unfair choices
  30. 30.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) never learns from data (d) gives a likely answer
  31. 31.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  32. 32.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
  33. 33.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  34. 34.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  35. 35.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  37. 37.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) text (c) an image
  38. 38.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  39. 39.Which of these is generative AI (it makes something new)? (a) writing quiz questions (b) predicting rain (c) sorting photos by face (d) spotting spam
  40. 40.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False

Answer key

  1. False
  2. AI knows everything
  3. True
  4. spam
  5. wrong labels
  6. AI learns from data
  7. not AI
  8. a simple rule is enough
  9. a fact
  10. use one group only
  11. past weather records
  12. bad for training
  13. True
  14. no
  15. False
  16. labels added at random
  17. better at its task
  18. check it on paper
  19. add varied examples
  20. AI
  21. generating
  22. a normal program
  23. learn from data
  24. False
  25. True
  26. True
  27. False
  28. True
  29. test on many groups
  30. never learns from data
  31. a real check
  32. music or sound
  33. True
  34. True
  35. True
  36. past weather records
  37. an image
  38. uses AI
  39. writing quiz questions
  40. True

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