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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 779 · 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.True or false: “in a friendly tone” sets the reading level. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) shadows going two ways (b) many trusted sources (c) no trusted source (d) a background that bends
  3. 3.True or false: “confident means correct” is a myth about AI. (a) True (b) False
  4. 4.🪜 What does this prompt ask for? “Just give me the answer to 456 ÷ 4.” (a) asks for steps (b) asks only for the answer
  5. 5.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  7. 7.Which of these sets the reading level? (a) in a funny way (b) in 2 lines only (c) no more than 100 words (d) no hard science words
  8. 8.🔒 Can you upload a photo of your friend to an AI app? (a) yes, if it is funny (b) yes, any time (c) no, never
  9. 9.🧮 An AI chatbot says 12 × 3 = 38. Check it yourself: what is 12 × 3?
  10. 10.True or false: “ask for steps” does not make a prompt better. (a) True (b) False
  11. 11.True or false: “a word you don’t know” is okay to share with an AI chatbot. (a) False (b) True
  12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing quiz questions (c) creating a cartoon (d) spotting a sick leaf
  13. 13.📰 Before you share a shocking news post, you should… (a) share it fast (b) check trusted sources (c) forward to all (d) add more emojis
  14. 14.🔒 An AI chatbot asks for your home address. What should you do? (a) give a friend’s (b) share half of it (c) say no, tell an adult (d) share it quickly
  15. 15.True or false: a drawing you made yourself needs credit (say where it came from). (a) False (b) True
  16. 16.🛠️ The answer was far too long. What should you add? (a) a password (b) a word limit (c) more questions (d) a new topic
  17. 17.©️ What does “giving credit” mean? (a) hiding the source (b) adding a filter (c) paying with a card (d) saying who made it
  18. 18.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  19. 19.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  20. 20.True or false: “suggests practice” is normal for a study chatbot. (a) False (b) True
  21. 21.True or false: asking it to quiz you before a test is NOT honest use. (a) True (b) False
  22. 22.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks only for the answer (b) asks for steps
  23. 23.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  24. 24.🔍 Which is the odd one out? (a) “answer all 10 sums” (b) “write my essay” (c) “write my project” (d) “define ‘orbit’ for me”
  25. 25.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) predicting (c) recognising (d) generating
  26. 26.Which of these is a red flag — stop and tell an adult? (a) suggests practice (b) says it may be wrong (c) asks for photos of you (d) asks your class level
  27. 27.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  28. 28.Which of these is stage 2 (ask for help)? (a) ask how to start (b) attempt it on paper (c) try the sum yourself (d) try a similar sum alone
  29. 29.🧩 Which part of a prompt is this? “It is for a school assembly.” (a) context (b) role (c) example (d) task
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  31. 31.True or false: “Trip list.” is a clear prompt. (a) True (b) False
  32. 32.🔎 Checking an AI answer: which do you do first — open your textbook or read the AI answer? (a) open your textbook (b) read the AI answer
  33. 33.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for the steps? (a) solve a new one alone (b) ask for the steps
  34. 34.⏩ When you use an AI app, which happens first: you type a question or the model finds patterns? (a) you type a question (b) the model finds patterns
  35. 35.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) photos in many lights (d) very few examples
  36. 36.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) generative (b) learning (c) rule-based
  37. 37.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) test on one group only (d) skip testing
  38. 38.True or false: “your password” should be kept private — never share it with an AI chatbot. (a) False (b) True
  39. 39.📚 Smart or poor way to study with AI: ask why, not just what? (a) smart study (b) poor study
  40. 40.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training

Answer key

  1. False
  2. many trusted sources
  3. True
  4. asks only for the answer
  5. no, it can be wrong
  6. one-sided data
  7. no hard science words
  8. no, never
  9. 36
  10. False
  11. True
  12. spotting a sick leaf
  13. check trusted sources
  14. say no, tell an adult
  15. False
  16. a word limit
  17. saying who made it
  18. labelled fruit photos
  19. a normal program
  20. True
  21. False
  22. asks for steps
  23. a normal program
  24. “define ‘orbit’ for me”
  25. predicting
  26. asks for photos of you
  27. no, check it anyway
  28. ask how to start
  29. context
  30. balanced data
  31. False
  32. read the AI answer
  33. ask for the steps
  34. you type a question
  35. photos in many lights
  36. rule-based
  37. add varied examples
  38. True
  39. smart study
  40. good for training

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