← 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 138 · 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 uses AI? (a) a spam filter (b) a calculator (c) a fan regulator (d) a digital watch
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  3. 3.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  4. 4.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  6. 6.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) suggesting a video (c) drafting a letter (d) turning speech to text
  7. 7.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  8. 8.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) fix wrong labels (d) ignore complaints
  9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  10. 10.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  11. 11.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) making up a story (c) writing a new poem (d) unlocking with a face
  13. 13.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  14. 14.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) check who is missing (d) ask different people
  16. 16.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) checking labels twice (d) testing on training data
  17. 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  18. 18.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  19. 19.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) writing a new poem (c) composing a new tune (d) sorting photos by face
  20. 20.Which of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) labels added at random (d) very few examples
  21. 21.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) test on many groups
  23. 23.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) writing a new poem (d) turning speech to text
  24. 24.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  26. 26.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) past weather records
  27. 27.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
  29. 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  30. 30.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  31. 31.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) testing on training data (d) many varied examples
  32. 32.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) an AI chatbot (b) a light switch (c) a torch (d) a calculator
  34. 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  36. 36.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  37. 37.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) text (c) an image
  38. 38.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) 500 labelled leaf photos
  39. 39.🔍 Which is the odd one out? (a) unlocking with a face (b) turning speech to text (c) inventing a recipe (d) predicting rain
  40. 40.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True

Answer key

  1. a spam filter
  2. a prediction
  3. True
  4. False
  5. False
  6. drafting a letter
  7. a simple rule is enough
  8. fix wrong labels
  9. more varied data
  10. True
  11. False
  12. unlocking with a face
  13. False
  14. False
  15. skip testing
  16. checking labels twice
  17. True
  18. sorts or predicts
  19. sorting photos by face
  20. clear, sharp examples
  21. False
  22. add more of the same
  23. turning speech to text
  24. no
  25. training data
  26. past weather records
  27. to see if it works
  28. bias from data
  29. False
  30. it learns patterns
  31. testing on training data
  32. False
  33. an AI chatbot
  34. a normal program
  35. reduces bias
  36. not a real check
  37. music or sound
  38. typing a new spoken word
  39. inventing a recipe
  40. False

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