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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 112 · 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 a plant-spotting app, your leaf photo is the… (a) output (b) input (c) model
  2. 2.Which of these is a good sign (but still check)? (a) shadows going two ways (b) a known news desk (c) a shocking headline (d) blurry, melted text
  3. 3.🗂️ What is the best way to use an AI practice quiz? (a) skip hard ones (b) read the answers first (c) answer before checking (d) copy the answers
  4. 4.Which of these is NOT a good source to check against? (a) a library book (b) your school textbook (c) a government website (d) the same chatbot again
  5. 5.🖼️ Warning sign or good sign: many trusted sources? (a) a warning sign (b) a good sign
  6. 6.📖 An AI chatbot gives a quote and a source. What should you do? (a) copy it straight away (b) add more quotes (c) delete your notes (d) check the source is real
  7. 7.True or false: “say the format you want” does not make a prompt better. (a) True (b) False
  8. 8.True or false: “no more than 100 words” sets a length limit. (a) True (b) False
  9. 9.💬 Rule-based or learning chatbot: “fails on new wording”? (a) rule-based (b) learning
  10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
  11. 11.Which of these is a red flag — stop and tell an adult? (a) asks your class level (b) says it may be wrong (c) urges you to click links (d) admits it is unsure
  12. 12.Which of these is my own work? (a) a poet’s famous poem (b) a classmate’s drawing (c) a chart from the news (d) a clay model I built
  13. 13.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
  14. 14.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  15. 15.True or false: “says not to tell parents” is normal for a study chatbot. (a) False (b) True
  16. 16.✍️ Clear or vague: “Check ‘She go to school daily’ for grammar and explain the fix.”? (a) clear (b) vague
  17. 17.✔️ An AI chatbot says 15 × 8 = 130. Is that correct or wrong? (a) correct (b) wrong
  18. 18.🔍 Which is the odd one out? (a) a poet’s famous poem (b) a chart from the news (c) a photo from a website (d) a story I made up
  19. 19.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) flagging a new email (d) naming a new leaf
  20. 20.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a length limit (c) a password (d) a picture
  21. 21.©️ Does this need credit: a quote from a library book in your essay? (a) needs credit (b) your own work
  22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  23. 23.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
  24. 24.True or false: “a maths sum to explain” should be kept private — never share it with an AI chatbot. (a) False (b) True
  25. 25.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
  26. 26.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
  27. 27.🔎 Checking an AI answer: which do you do first — fix your notes or find the same topic? (a) fix your notes (b) find the same topic
  28. 28.📝 You used AI to get ideas for a project. What is honest? (a) blame the AI (b) say it is all yours (c) hide it (d) say how you used it
  29. 29.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  30. 30.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) follows fixed rules (d) improves with more data
  31. 31.📰 Before you share a shocking news post, you should… (a) forward to all (b) add more emojis (c) check trusted sources (d) share it fast
  32. 32.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
  33. 33.📚 Smart or poor way to study with AI: asking it to do homework? (a) poor study (b) smart study
  34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  36. 36.🔍 Which is the odd one out? (a) a cartoon from a comic (b) a tune I made up (c) a song on the radio (d) a photo from a website
  37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends
  39. 39.True or false: making practice questions to test yourself is NOT honest use. (a) False (b) True
  40. 40.True or false: “one set rule per case” describes how AI works. (a) True (b) False

Answer key

  1. input
  2. a known news desk
  3. answer before checking
  4. the same chatbot again
  5. a good sign
  6. check the source is real
  7. False
  8. True
  9. rule-based
  10. bias from data
  11. urges you to click links
  12. a clay model I built
  13. predicts likely words
  14. no, it can be wrong
  15. False
  16. clear
  17. wrong
  18. a story I made up
  19. recorded spoken words
  20. a length limit
  21. needs credit
  22. reduces bias
  23. artificial intelligence
  24. False
  25. no, check it anyway
  26. a text description
  27. find the same topic
  28. say how you used it
  29. old emails marked spam
  30. improves with more data
  31. check trusted sources
  32. choose what to sort
  33. poor study
  34. reduces bias
  35. adds to bias
  36. a tune I made up
  37. False
  38. no, it finds patterns
  39. False
  40. False

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