← 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 234 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  2. 2.True or false: “what training builds” is training data. (a) False (b) True
  3. 3.True or false: “learns from examples” describes how AI works. (a) False (b) True
  4. 4.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) wrong labels (d) clear, sharp examples
  5. 5.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) test on many groups (d) check who is missing
  6. 6.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a battery (c) a label (d) a password
  7. 7.True or false: “labelled fruit photos” is the model. (a) True (b) False
  8. 8.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  9. 9.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  10. 10.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) AI can make up facts (d) long answers are true
  11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
  13. 13.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
  14. 14.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
  17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  18. 18.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  19. 19.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) new data for testing (d) many varied examples
  20. 20.Which of these uses AI? (a) a stopwatch (b) a light switch (c) a microwave timer (d) photos grouped by face
  21. 21.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) test on many groups (d) copy old unfair choices
  26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  27. 27.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  28. 28.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) new data for testing (d) blurry, unclear photos
  29. 29.Which of these describes how a normal program works? (a) gives a likely answer (b) does exactly as coded (c) improves with more data (d) learns from examples
  30. 30.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  31. 31.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  32. 32.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
  33. 33.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
  34. 34.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  35. 35.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  36. 36.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
  37. 37.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
  39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  40. 40.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) True (b) False

Answer key

  1. not spam
  2. False
  3. True
  4. clear, sharp examples
  5. skip testing
  6. a prompt
  7. False
  8. True
  9. a real check
  10. long answers are true
  11. bias from data
  12. it may get it wrong
  13. True
  14. False
  15. True
  16. ignore complaints
  17. False
  18. a simple rule is enough
  19. labels added at random
  20. photos grouped by face
  21. makes something new
  22. a prediction
  23. True
  24. False
  25. test on many groups
  26. one-sided data
  27. True
  28. blurry, unclear photos
  29. does exactly as coded
  30. True
  31. False
  32. False
  33. True
  34. True
  35. False
  36. a basic calculator
  37. text
  38. its training data
  39. few child voices in data
  40. False

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