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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 96 · 40 questions
TalentJR

AI tip (Know it, prompt it, check it): Find the topic: what AI is, prompts, honest use, checking, privacy, age rules, fakes, credit, study, apps or projects. Use that lesson’s rule and read every option before you choose. For number questions, write the calculation first: words over = written − limit, accuracy = correct ÷ total × 100.

NameDateTime takenScore ___ / 40
  1. 1.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  2. 2.📏 What kind of constraint is “in under 50 words”? (a) a style or tone (b) what to include (c) a length limit (d) a reading level
  3. 3.🖼️ Warning sign or good sign: a named author? (a) a warning sign (b) a good sign
  4. 4.Which of these makes a weak prompt better? (a) name the exact topic (b) add unrelated details (c) use unclear slang (d) type it twice
  5. 5.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 45 right and Model B got 27 right. How many percentage points more accurate is Model A?
  6. 6.🔍 Which is the odd one out? (a) add your class level (b) split into small asks (c) name the exact topic (d) make it vaguer
  7. 7.Which of these requests does the work for you? (a) “where did I go wrong?” (b) “write my project” (c) “define ‘orbit’ for me” (d) “make practice sums”
  8. 8.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ask different people (d) copy old unfair choices
  9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
  10. 10.📝 Honest use or copying: asking it to quiz you before a test? (a) honest use (b) not honest
  11. 11.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  12. 12.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
  13. 13.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  14. 14.©️ Whose work is it: a picture I drew? (a) my own work (b) someone else’s work
  15. 15.📦 Nisha collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  16. 16.📚 Smart or poor way to study with AI: make your own cards too? (a) poor study (b) smart study
  17. 17.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  18. 18.📏 What kind of constraint is “in a funny way”? (a) what to include (b) a length limit (c) a reading level (d) a style or tone
  19. 19.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  20. 20.Which of these makes a weak prompt better? (a) make it vaguer (b) add unrelated details (c) give an example (d) add lots of emojis
  21. 21.📝 Your school says no AI for this essay. What should you do? (a) use it secretly (b) skip the essay (c) follow the rule (d) copy a friend
  22. 22.Which of these requests helps you learn? (a) “answer all 10 sums” (b) “explain this step” (c) “write my project” (d) “write my essay”
  23. 23.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  25. 25.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) improves with more data (d) learns from examples
  26. 26.📝 Ishaan’s prompt must stay within 110 words. Ishaan has written 54 words so far. How many more words can be added?
  27. 27.True or false: “Write a 4-line poem about the monsoon for our notice board.” is a clear prompt. (a) True (b) False
  28. 28.📏 What kind of constraint is “in a friendly tone”? (a) a length limit (b) what to include (c) a style or tone (d) a reading level
  29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  30. 30.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) composing a new tune (d) spotting spam
  31. 31.🪜 Why ask an AI chatbot to show the steps? (a) to copy faster (b) to learn the method (c) to make it slower (d) to get a longer answer
  32. 32.©️ Whose work is it: a classmate’s drawing? (a) someone else’s work (b) my own work
  33. 33.Which of these sets the style or tone? (a) no more than 100 words (b) in a funny way (c) for a Class 3 student (d) in very simple words
  34. 34.🎂 Ask an adult first, or fine to do yourself: reading your school’s rules on AI? (a) fine to do yourself (b) ask an adult first
  35. 35.🪜 What does this prompt ask for? “Show your working for 15% of 240.” (a) asks only for the answer (b) asks for steps
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
  37. 37.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  38. 38.True or false: “no more than 100 words” sets a length limit. (a) False (b) True
  39. 39.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) makes a best guess (d) one set rule per case
  40. 40.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True

Answer key

  1. correct ÷ total × 100
  2. a length limit
  3. a good sign
  4. name the exact topic
  5. 36
  6. make it vaguer
  7. “write my project”
  8. ask different people
  9. True
  10. honest use
  11. not AI
  12. True
  13. not a real check
  14. my own work
  15. 80
  16. smart study
  17. no, it can be wrong
  18. a style or tone
  19. people
  20. give an example
  21. follow the rule
  22. “explain this step”
  23. makes something new
  24. balanced data
  25. never learns from data
  26. 56
  27. True
  28. a style or tone
  29. False
  30. composing a new tune
  31. to learn the method
  32. someone else’s work
  33. in a funny way
  34. fine to do yourself
  35. asks for steps
  36. few child voices in data
  37. good for training
  38. True
  39. makes a best guess
  40. False

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