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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 351 · 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.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  2. 2.🔍 Which is the odd one out? (a) a shocking headline (b) shadows going two ways (c) matches the textbook (d) too good to be true
  3. 3.©️ Who owns the copyright of a song? (a) nobody at all (b) anyone who hears it (c) the radio (d) the person who made it
  4. 4.🗂️ An AI flashcard has a wrong fact. What should you do? (a) ignore it (b) learn it anyway (c) correct the card (d) throw all cards away
  5. 5.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) blurry, unclear photos (d) correct labels
  6. 6.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) copies of one photo (d) clear, sharp examples
  7. 7.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) test on many groups (d) skip testing
  8. 8.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
  9. 9.✔️ An AI chatbot says 14 × 5 = 69. Is that correct or wrong? (a) correct (b) wrong
  10. 10.True or false: reading your school’s rules on AI is fine to do by yourself. (a) False (b) True
  11. 11.True or false: “answers at the end” says what to include. (a) True (b) False
  12. 12.🛠️ If the first answer is not right, you can… (a) shout at it (b) type in capitals (c) give up (d) refine the prompt
  13. 13.🔍 Which is the odd one out? (a) asks for your address (b) suggests practice (c) asks for money (d) asks to keep a secret
  14. 14.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) does exactly as coded (d) gives a likely answer
  15. 15.🔒 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
  16. 16.True or false: “handles new wording” describes a learning chatbot. (a) True (b) False
  17. 17.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) rule-based (b) learning (c) generative
  18. 18.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
  19. 19.True or false: “a word you don’t know” should be kept private — never share it with an AI chatbot. (a) True (b) False
  20. 20.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) a quote from a book (b) a classmate’s drawing (c) a chart from the news (d) a tune I made up
  22. 22.True or false: “a map from an atlas” is someone else’s work (credit it). (a) False (b) True
  23. 23.Which of these is a smart way to study with AI? (a) copying cards unread (b) trusting every summary (c) asking it to do homework (d) short study sessions
  24. 24.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  25. 25.✍️ Clear or vague: “Explain fractions to a Class 4 student using a pizza example.”? (a) clear (b) vague
  26. 26.Which of these is a good source to check against? (a) an anonymous post (b) a random comment (c) an encyclopedia (d) a rumour from a friend
  27. 27.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  29. 29.True or false: pasting its answers into your homework sheet is an honest way to use AI for homework. (a) True (b) False
  30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  31. 31.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) composing a new tune (d) spotting spam
  32. 32.🔎 Checking an AI answer: which do you do first — open your textbook or underline each fact? (a) open your textbook (b) underline each fact
  33. 33.🔎 Before sharing a surprising post, which comes first — report it if fake or compare with others? (a) report it if fake (b) compare with others
  34. 34.📝 What is the best way to use AI for a hard maths chapter? (a) copy its answers (b) avoid the chapter (c) ask it to do all sums (d) ask it to explain
  35. 35.📝 Why is copying an AI essay a problem? (a) it is too short (b) you do not learn (c) it uses paper (d) it is too neat
  36. 36.True or false: “a story idea” is okay to share with an AI chatbot. (a) False (b) True
  37. 37.📝 You used AI to get ideas for a project. What is honest? (a) blame the AI (b) hide it (c) say how you used it (d) say it is all yours
  38. 38.🔍 Which is the odd one out? (a) a background that bends (b) a clear date (c) too good to be true (d) shadows going two ways
  39. 39.📏 What kind of constraint is “with one example”? (a) a reading level (b) a length limit (c) what to include (d) a style or tone
  40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program

Answer key

  1. labelled fruit photos
  2. matches the textbook
  3. the person who made it
  4. correct the card
  5. correct labels
  6. copies of one photo
  7. test on many groups
  8. False
  9. wrong
  10. True
  11. True
  12. refine the prompt
  13. suggests practice
  14. gives a likely answer
  15. say no, tell an adult
  16. True
  17. rule-based
  18. False
  19. False
  20. True
  21. a tune I made up
  22. True
  23. short study sessions
  24. old emails marked spam
  25. clear
  26. an encyclopedia
  27. AI
  28. training data
  29. False
  30. not spam
  31. spotting spam
  32. underline each fact
  33. compare with others
  34. ask it to explain
  35. you do not learn
  36. True
  37. say how you used it
  38. a clear date
  39. what to include
  40. the trained program

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