← Part 1 test: what AI is lesson New set →

AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 586 · 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 is the odd one out? (a) unlocking with a face (b) creating a cartoon (c) making up a story (d) writing a new poem
  2. 2.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) check who is missing
  4. 4.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  5. 5.True or false: “same steps every time” describes how AI works. (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  8. 8.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
  9. 9.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  10. 10.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) skip testing (d) test on one group only
  11. 11.🔍 Which is the odd one out? (a) a digital watch (b) face unlock on a phone (c) video suggestions (d) an image generator
  12. 12.🔍 Which is the odd one out? (a) AI knows everything (b) confident means correct (c) AI is never wrong (d) AI copies data patterns
  13. 13.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  15. 15.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) AI always checks facts (d) AI can be wrong
  16. 16.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
  17. 17.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recognising (c) recommending (d) generating
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  19. 19.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  20. 20.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  21. 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it uses electricity (d) it is always right
  22. 22.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) recommending (c) predicting (d) recognising
  23. 23.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) testing on training data (d) many varied examples
  24. 24.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  25. 25.True or false: “fix wrong labels” adds to bias. (a) True (b) False
  26. 26.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
  27. 27.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  28. 28.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  29. 29.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  30. 30.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
  31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  33. 33.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) 500 labelled leaf photos
  34. 34.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  35. 35.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
  36. 36.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  37. 37.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  38. 38.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  39. 39.Which of these is not AI? (a) a calculator (b) voice typing (c) a spam filter (d) a voice assistant
  40. 40.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True

Answer key

  1. unlocking with a face
  2. True
  3. add more of the same
  4. a myth
  5. False
  6. reduces bias
  7. its training data
  8. a basic calculator
  9. uses AI
  10. balance the data
  11. a digital watch
  12. AI copies data patterns
  13. True
  14. training data
  15. AI can be wrong
  16. no, it finds patterns
  17. recognising
  18. a normal program
  19. labelled fruit photos
  20. makes something new
  21. it learns from examples
  22. recommending
  23. testing on training data
  24. text
  25. False
  26. True
  27. AI
  28. not AI
  29. False
  30. False
  31. training data
  32. not spam
  33. naming a new leaf
  34. False
  35. artificial intelligence
  36. False
  37. AI
  38. True
  39. a calculator
  40. False

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students