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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 663 · 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.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI can make up facts (d) confident means correct
  2. 2.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  3. 3.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  4. 4.True or false: “typing a new spoken word” is training data. (a) False (b) True
  5. 5.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
  6. 6.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recommending (c) recognising (d) predicting
  7. 7.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  8. 8.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  9. 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
  10. 10.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) new data for testing (d) wrong labels
  11. 11.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
  13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  14. 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) add more of the same
  16. 16.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  17. 17.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  18. 18.🔍 Which is the odd one out? (a) writing quiz questions (b) predicting rain (c) spotting a sick leaf (d) unlocking with a face
  19. 19.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  20. 20.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) generating (b) recommending (c) recognising (d) predicting
  21. 21.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) writing quiz questions (d) making up a story
  23. 23.🔍 Which is the odd one out? (a) writing a new poem (b) reading number plates (c) unlocking with a face (d) spotting spam
  24. 24.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  25. 25.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
  26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  27. 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  28. 28.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  29. 29.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting a sick leaf (c) sorting photos by face (d) composing a new tune
  30. 30.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recognising (c) recommending (d) predicting
  31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) tomorrow’s rain guess (d) naming a new fruit photo
  32. 32.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  33. 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  34. 34.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  35. 35.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) correct labels (d) checking labels twice
  36. 36.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) many varied examples (d) correct labels
  37. 37.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) an image (c) text
  38. 38.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  39. 39.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) confident means correct (d) AI learns from data
  40. 40.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False

Answer key

  1. AI can make up facts
  2. no, it can be wrong
  3. a normal program
  4. False
  5. True
  6. recommending
  7. True
  8. a normal program
  9. check it on paper
  10. wrong labels
  11. the learned patterns
  12. its training data
  13. True
  14. True
  15. add varied examples
  16. a myth
  17. a real check
  18. writing quiz questions
  19. a fact
  20. generating
  21. False
  22. spotting spam
  23. writing a new poem
  24. True
  25. learn from data
  26. a prediction
  27. True
  28. False
  29. composing a new tune
  30. recognising
  31. 500 labelled leaf photos
  32. False
  33. balanced data
  34. False
  35. very few examples
  36. only one kind of example
  37. an image
  38. AI
  39. confident means correct
  40. False

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