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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 464 · 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 not AI? (a) a map predicting traffic (b) a spam filter (c) a calculator (d) face unlock on a phone
  2. 2.Which of these uses AI? (a) video suggestions (b) a digital watch (c) a doorbell (d) a printed timetable
  3. 3.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) unlocking with a face (d) inventing a recipe
  4. 4.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  6. 6.🎨 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
  7. 7.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  8. 8.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) trust the AI (d) stop studying
  9. 9.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
  10. 10.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) fix wrong labels
  11. 11.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) gives a likely answer (d) uses rules people wrote
  12. 12.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  14. 14.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  15. 15.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  16. 16.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
  17. 17.Which of these is not AI? (a) face unlock on a phone (b) a digital watch (c) an image generator (d) a spam filter
  18. 18.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI knows everything (d) AI learns from data
  19. 19.True or false: “never learns from data” describes how AI works. (a) False (b) True
  20. 20.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
  21. 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  22. 22.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
  23. 23.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) automatic internet (d) actual information
  24. 24.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
  25. 25.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  27. 27.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) naming a new fruit photo (d) flagging a new email
  29. 29.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) skip testing (d) test on many groups
  30. 30.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recommending (d) recognising
  31. 31.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  32. 32.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
  33. 33.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) add varied examples
  34. 34.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) an image (c) text
  35. 35.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  36. 36.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recommending (c) predicting (d) recognising
  37. 37.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  38. 38.True or false: an AI tool making a brand-new tune is AI recommending something. (a) False (b) True
  39. 39.Which of these is bad for training a model? (a) new data for testing (b) very few examples (c) photos in many lights (d) checking labels twice
  40. 40.True or false: “AI learns from data” is a fact about AI. (a) False (b) True

Answer key

  1. a calculator
  2. video suggestions
  3. unlocking with a face
  4. good for training
  5. False
  6. text
  7. uses AI
  8. trust the textbook
  9. makes new content
  10. fix wrong labels
  11. gives a likely answer
  12. False
  13. training data
  14. good for training
  15. no
  16. text
  17. a digital watch
  18. AI learns from data
  19. False
  20. False
  21. False
  22. no, it finds patterns
  23. artificial intelligence
  24. True
  25. an image
  26. training data
  27. True
  28. the trained program
  29. skip testing
  30. recommending
  31. makes something new
  32. False
  33. copy old unfair choices
  34. an image
  35. text
  36. recognising
  37. no, it can be wrong
  38. False
  39. very few examples
  40. True

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