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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 414 · 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: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  2. 2.🛠️ Does this make a weak prompt better: name the exact topic? (a) not a fix (b) a good fix
  3. 3.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
  4. 4.True or false: “testing on training data” is good for training a model. (a) True (b) False
  5. 5.🛠️ Does this make a weak prompt better: say what it is for? (a) not a fix (b) a good fix
  6. 6.Which of these is normal for a study chatbot? (a) asks to keep a secret (b) asks you to check facts (c) asks for photos of you (d) urges you to click links
  7. 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) check it on paper (d) copy it straight away
  8. 8.📝 Why is copying an AI essay a problem? (a) it is too short (b) it uses paper (c) it is too neat (d) you do not learn
  9. 9.Which of these is a good source to check against? (a) an anonymous post (b) a rumour from a friend (c) a science museum site (d) a forwarded message
  10. 10.🔍 Which is the odd one out? (a) split into small asks (b) type it twice (c) write it in capitals (d) add unrelated details
  11. 11.⏩ When you use an AI app, which happens first: the model makes a guess or the reply appears? (a) the model makes a guess (b) the reply appears
  12. 12.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  13. 13.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  14. 14.Which of these sets a length limit? (a) no hard science words (b) in one short paragraph (c) in a friendly tone (d) answers at the end
  15. 15.Which of these is a good sign (but still check)? (a) “share before it’s gone” (b) a background that bends (c) blurry, melted text (d) a named author
  16. 16.Which of these is a poor way to study with AI? (a) check summaries in books (b) never checking mistakes (c) answer before peeking (d) ask why, not just what
  17. 17.True or false: making practice questions to test yourself is NOT honest use. (a) False (b) True
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  19. 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
  20. 20.🔍 Which is the odd one out? (a) add exclamation marks (b) add a word limit (c) make it vaguer (d) add unrelated details
  21. 21.Which of these is okay to share with an AI chatbot? (a) a one-time password (b) your name and school (c) a grammar doubt (d) your password
  22. 22.Which of these should be kept private — never share it with an AI chatbot? (a) a photo of your friend (b) a story idea (c) a word you don’t know (d) a history question
  23. 23.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
  24. 24.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) very few examples (d) blurry, unclear photos
  25. 25.True or false: pasting its answers into your homework sheet is an honest way to use AI for homework. (a) False (b) True
  26. 26.Which of these describes how AI works? (a) does exactly as coded (b) spots patterns in data (c) uses rules people wrote (d) follows fixed rules
  27. 27.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) uses rules people wrote (d) spots patterns in data
  28. 28.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) task (b) example (c) context (d) role
  29. 29.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  30. 30.🧩 “Act as a patient science teacher.” This sets the… (a) role (b) format (c) example (d) word limit
  31. 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  32. 32.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) test on many groups
  33. 33.🔍 Which is the odd one out? (a) asks for your address (b) asks to meet in person (c) asks to keep a secret (d) suggests practice
  34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  35. 35.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
  36. 36.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) predicting (c) generating (d) recognising
  37. 37.True or false: “in a friendly tone” sets the style or tone. (a) True (b) False
  38. 38.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a password (c) a length limit (d) a picture
  39. 39.✍️ Which prompt is clearer?
    A: “Explain the difference between weather and climate with one example each.”
    B: “Weather?”
    (a) Prompt A (b) Prompt B
  40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day

Answer key

  1. True
  2. a good fix
  3. copy old unfair choices
  4. False
  5. a good fix
  6. asks you to check facts
  7. check it on paper
  8. you do not learn
  9. a science museum site
  10. split into small asks
  11. the model makes a guess
  12. True
  13. what training builds
  14. in one short paragraph
  15. a named author
  16. never checking mistakes
  17. False
  18. bias from data
  19. ask different people
  20. add a word limit
  21. a grammar doubt
  22. a photo of your friend
  23. what training builds
  24. checking labels twice
  25. False
  26. spots patterns in data
  27. uses rules people wrote
  28. example
  29. let it learn patterns
  30. role
  31. work out the accuracy
  32. test on one group only
  33. suggests practice
  34. True
  35. True
  36. recognising
  37. True
  38. a length limit
  39. Prompt A
  40. few child voices in data

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