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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 647 · 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.🧮 An AI chatbot says 15 × 4 = 59. Check it yourself: what is 15 × 4?
  2. 2.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) format (b) example (c) role (d) task
  3. 3.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
  4. 4.Which of these describes how AI works? (a) learns from examples (b) never learns from data (c) does exactly as coded (d) one set rule per case
  5. 5.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) new data for testing (d) clear, sharp examples
  6. 6.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  7. 7.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks only for the answer (b) asks for steps
  8. 8.🔍 Which is the odd one out? (a) a friend’s secret (b) a story idea (c) a science question (d) a word you don’t know
  9. 9.🔎 Before sharing a surprising post, which comes first — notice your feelings or look at the source? (a) notice your feelings (b) look at the source
  10. 10.True or false: “ask different people” adds to bias. (a) False (b) True
  11. 11.🧩 Why add an example to a prompt? (a) to show the style (b) to make it longer (c) to hide the task (d) to confuse the AI
  12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  13. 13.Which of these makes a weak prompt better? (a) leave out the topic (b) use unclear slang (c) make it vaguer (d) name the exact topic
  14. 14.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) wrong labels (d) blurry, unclear photos
  15. 15.True or false: “Write 5 quiz questions on plants.” is the format part of a prompt. (a) False (b) True
  16. 16.True or false: the request “explain this step” helps you learn. (a) False (b) True
  17. 17.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI answers need checking (d) AI is never wrong
  18. 18.📝 Honest use or copying: entering its poem in a writing competition as yours? (a) not honest (b) honest use
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  20. 20.🗂️ What study help is this prompt asking for? “Explain what a prime number is, with examples.” (a) an explanation (b) flashcards (c) a practice quiz (d) a summary
  21. 21.Which of these is a smart way to study with AI? (a) asking only for answers (b) never checking mistakes (c) redo wrong questions (d) asking it to do homework
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  23. 23.Which of these is a warning sign of a fake picture or story? (a) matches the textbook (b) mismatched earrings (c) a clear date (d) fits other reports
  24. 24.True or false: “I have a test on Friday.” is the context part of a prompt. (a) False (b) True
  25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  26. 26.🧮 An AI chatbot says 23 × 6 = 137. Check it yourself: what is 23 × 6?
  27. 27.🔍 Which is the odd one out? (a) “write my poem for me” (b) “answer all 10 sums” (c) “do my worksheet” (d) “explain this step”
  28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) recognising (d) predicting
  29. 29.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  30. 30.Which of these is stage 1 (try it yourself)? (a) do one more on your own (b) ask for the steps (c) attempt it on paper (d) solve a new one alone
  31. 31.True or false: “a poet’s famous poem” is someone else’s work (credit it). (a) True (b) False
  32. 32.💬 Rule-based or learning chatbot: “fails on new wording”? (a) learning (b) rule-based
  33. 33.🔍 Which is the odd one out? (a) “write my essay” (b) “do my worksheet” (c) “make practice sums” (d) “answer all 10 sums”
  34. 34.Which of these is generative AI (it makes something new)? (a) spotting spam (b) making up a story (c) predicting rain (d) unlocking with a face
  35. 35.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  36. 36.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  37. 37.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
  38. 38.📚 Smart or poor way to study with AI: never checking mistakes? (a) smart study (b) poor study
  39. 39.True or false: having it write your project report word for word is an honest way to use AI for homework. (a) True (b) False
  40. 40.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) correct labels (d) labels added at random

Answer key

  1. 60
  2. task
  3. True
  4. learns from examples
  5. only one kind of example
  6. a fact
  7. asks for steps
  8. a friend’s secret
  9. notice your feelings
  10. False
  11. to show the style
  12. to see if it learned
  13. name the exact topic
  14. new data for testing
  15. False
  16. True
  17. AI is never wrong
  18. not honest
  19. spam
  20. an explanation
  21. redo wrong questions
  22. spam
  23. mismatched earrings
  24. True
  25. bias from data
  26. 138
  27. “explain this step”
  28. predicting
  29. False
  30. attempt it on paper
  31. True
  32. rule-based
  33. “make practice sums”
  34. making up a story
  35. True
  36. a normal program
  37. False
  38. poor study
  39. False
  40. labels added at random

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