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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 614 · 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.💬 Does this request help you learn, or do the work for you? “quiz me on Chapter 3” (a) does it for you (b) helps you learn
  2. 2.True or false: a drawing you made yourself needs credit (say where it came from). (a) True (b) False
  3. 3.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) predicting (d) recommending
  4. 4.🖼️ Warning sign or good sign: shadows going two ways? (a) a warning sign (b) a good sign
  5. 5.Which of these uses AI? (a) a fan regulator (b) an AI chatbot (c) a kitchen weighing scale (d) a calculator
  6. 6.🧮 An AI chatbot says 28 × 9 = 253. Check it yourself: what is 28 × 9?
  7. 7.Which of these is a poor way to study with AI? (a) make your own cards too (b) reading answers only (c) mix AI and real practice (d) answer before peeking
  8. 8.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
  9. 9.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
  10. 10.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) inventing a recipe (d) suggesting a video
  11. 11.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  12. 12.True or false: “correct labels” is good for training a model. (a) False (b) True
  13. 13.✍️ Which prompt is clearer?
    A: “Fix it.”
    B: “Check ‘She go to school daily’ for grammar and explain the fix.”
    (a) Prompt A (b) Prompt B
  14. 14.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recommending (c) recognising (d) generating
  15. 15.🔍 Which is the odd one out? (a) many trusted sources (b) a named author (c) a known news desk (d) mismatched earrings
  16. 16.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  17. 17.Which of these sets the style or tone? (a) include 2 Indian rivers (b) in under 50 words (c) like a news report (d) no hard science words
  18. 18.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.Which of these is okay to share with an AI chatbot? (a) your spelling list (b) your password (c) your live location (d) your phone number
  20. 20.✍️ Clear or vague: “List 6 science fair ideas about water that use cheap materials.”? (a) vague (b) clear
  21. 21.True or false: “Summarise this paragraph.” is the example part of a prompt. (a) True (b) False
  22. 22.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) does exactly as coded (d) improves with more data
  23. 23.🔒 Is it safe to type your password into an AI chatbot? (a) yes (b) only short ones (c) no, never
  24. 24.📝 Honest use or copying: letting it write your diary assignment? (a) not honest (b) honest use
  25. 25.True or false: a diagram from an online encyclopedia needs credit (say where it came from). (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ignore complaints (d) skip testing
  27. 27.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to get a longer answer (c) to copy faster (d) to learn the method
  28. 28.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
  29. 29.✍️ Which prompt is clearer?
    A: “Write a 4-line poem about the monsoon for our notice board.”
    B: “Write a poem.”
    (a) Prompt A (b) Prompt B
  30. 30.🪜 An AI shows steps for a sum. What should you do with them? (a) ignore them (b) copy them blindly (c) check each step (d) delete them
  31. 31.🛠️ Does this make a weak prompt better: say what it is for? (a) a good fix (b) not a fix
  32. 32.💬 Does this request help you learn, or do the work for you? “give me a hint” (a) helps you learn (b) does it for you
  33. 33.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
  34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) spotting a sick leaf (c) composing a new tune (d) drawing a new picture
  35. 35.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
  36. 36.©️ Whose work is it: a song on the radio? (a) someone else’s work (b) my own work
  37. 37.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
  38. 38.📝 Honest use or copying: asking it to quiz you before a test? (a) honest use (b) not honest
  39. 39.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
  40. 40.💬 Rule-based or learning chatbot: “gets better with data”? (a) learning (b) rule-based

Answer key

  1. helps you learn
  2. False
  3. predicting
  4. a warning sign
  5. an AI chatbot
  6. 252
  7. reading answers only
  8. False
  9. False
  10. inventing a recipe
  11. True
  12. True
  13. Prompt B
  14. recognising
  15. mismatched earrings
  16. text
  17. like a news report
  18. True
  19. your spelling list
  20. clear
  21. False
  22. does exactly as coded
  23. no, never
  24. not honest
  25. True
  26. add varied examples
  27. to learn the method
  28. an image
  29. Prompt A
  30. check each step
  31. a good fix
  32. helps you learn
  33. False
  34. spotting a sick leaf
  35. it learns from examples
  36. someone else’s work
  37. recommending
  38. honest use
  39. more varied data
  40. learning

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