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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 107 · 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: “Summarise this paragraph about volcanoes in 3 bullet points for revision.” is a vague prompt. (a) False (b) True
  2. 2.True or false: the request “write my poem for me” helps you learn. (a) False (b) True
  3. 3.Which of these sets a length limit? (a) with one example (b) in 2 lines only (c) for a 9-year-old (d) in very simple words
  4. 4.🔍 Which is the odd one out? (a) type it twice (b) say the format you want (c) add exclamation marks (d) add unrelated details
  5. 5.Which of these is a red flag — stop and tell an adult? (a) suggests practice (b) gives an example (c) asks for money (d) asks your class level
  6. 6.🔍 Which is the odd one out? (a) a named author (b) a clear date (c) six fingers on a hand (d) fits other reports
  7. 7.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  8. 8.✍️ Clear or vague: “Explain photosynthesis to a Class 6 student in 5 short steps.”? (a) vague (b) clear
  9. 9.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a picture (b) a length limit (c) a role (d) a password
  10. 10.True or false: “Make a 10-question test on decimals, answers at the end.” is asking for a practice quiz. (a) True (b) False
  11. 11.📖 Is this a good source to check an AI answer against: a funny meme? (a) a good source (b) not a good source
  12. 12.True or false: “make it vaguer” makes a weak prompt better. (a) True (b) False
  13. 13.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  14. 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  15. 15.🪜 Why ask an AI chatbot to show the steps? (a) to learn the method (b) to copy faster (c) to get a longer answer (d) to make it slower
  16. 16.🧩 Which part of a prompt says WHAT you want done? (a) the format (b) the role (c) the example (d) the task
  17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  18. 18.✍️ Clear or vague: “Explain the difference between weather and climate with one example each.”? (a) clear (b) vague
  19. 19.Which of these is the model? (a) the trained AI part (b) the typed reply (c) a tune you hum (d) the label “cat”
  20. 20.Which of these uses AI? (a) a fan regulator (b) a spam filter (c) a light switch (d) a microwave timer
  21. 21.True or false: the request “write my diary entry” does the work for you. (a) False (b) True
  22. 22.©️ Who owns the copyright of a song? (a) nobody at all (b) the person who made it (c) the radio (d) anyone who hears it
  23. 23.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) example (b) role (c) format (d) context
  24. 24.True or false: “Write a 4-line poem about the monsoon for our notice board.” is a vague prompt. (a) False (b) True
  25. 25.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) predicting (c) generating (d) recognising
  26. 26.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  27. 27.©️ Whose work is it: a chart from the news? (a) someone else’s work (b) my own work
  28. 28.Which of these sets a length limit? (a) in one short paragraph (b) for a Class 3 student (c) for a 9-year-old (d) like a news report
  29. 29.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) flashcards (b) a practice quiz (c) an explanation (d) a summary
  30. 30.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) app installer (d) automatic internet
  31. 31.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
  32. 32.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  33. 33.✍️ Which prompt is clearer?
    A: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”
    B: “Rhymes.”
    (a) Prompt A (b) Prompt B
  34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  35. 35.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for one hint? (a) solve a new one alone (b) ask for one hint
  36. 36.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  37. 37.🧩 Why add an example to a prompt? (a) to confuse the AI (b) to hide the task (c) to make it longer (d) to show the style
  38. 38.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
  39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  40. 40.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) predicting (d) singing

Answer key

  1. False
  2. False
  3. in 2 lines only
  4. say the format you want
  5. asks for money
  6. six fingers on a hand
  7. not a real check
  8. clear
  9. a length limit
  10. True
  11. not a good source
  12. False
  13. not AI
  14. bad for training
  15. to learn the method
  16. the task
  17. reduces bias
  18. clear
  19. the trained AI part
  20. a spam filter
  21. True
  22. the person who made it
  23. format
  24. False
  25. recommending
  26. trust the textbook
  27. someone else’s work
  28. in one short paragraph
  29. an explanation
  30. artificial intelligence
  31. rule-based
  32. True
  33. Prompt A
  34. one-sided data
  35. ask for one hint
  36. a real check
  37. to show the style
  38. True
  39. labelled fruit photos
  40. predicting

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