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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 152 · 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.🔎 Checking an AI answer: which do you do first — fix your notes or compare the facts? (a) fix your notes (b) compare the facts
  2. 2.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  3. 3.Which of these is a smart way to study with AI? (a) check summaries in books (b) asking it to do homework (c) reading answers only (d) asking only for answers
  4. 4.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 40 right. What is its accuracy in percent?
  5. 5.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  6. 6.🪜 What does this prompt ask for? “Final answer only for question 7.” (a) asks only for the answer (b) asks for steps
  7. 7.Which of these uses AI? (a) a doorbell (b) a calculator (c) a microwave timer (d) a spam filter
  8. 8.🪜 What does this prompt ask for? “Walk me through how you found the area.” (a) asks for steps (b) asks only for the answer
  9. 9.✍️ Clear or vague: “Food ideas?”? (a) vague (b) clear
  10. 10.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  11. 11.True or false: “My class just learned fractions.” is the example part of a prompt. (a) False (b) True
  12. 12.🔢 How many words are in this prompt?
    “Explain the water cycle as a short story.”
  13. 13.Which of these is a myth about AI? (a) AI can be wrong (b) AI can mix up numbers (c) AI knows everything (d) AI learns from data
  14. 14.Which of these is okay to share with an AI chatbot? (a) a photo of your friend (b) your live location (c) your phone number (d) a story idea
  15. 15.True or false: pasting its answers into your homework sheet is an honest way to use AI for homework. (a) True (b) False
  16. 16.🛠️ The AI answer was too hard to read. What should you add? (a) nothing at all (b) your class level (c) capital letters (d) more emojis
  17. 17.✍️ Clear or vague: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.”? (a) clear (b) vague
  18. 18.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
  19. 19.📝 Ishaan’s prompt must stay within 70 words. Ishaan has written 20 words so far. How many more words can be added?
  20. 20.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  22. 22.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
  23. 23.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
  24. 24.©️ Does this need credit: a classmate’s idea you used? (a) your own work (b) needs credit
  25. 25.Which of these is someone else’s work (credit it)? (a) a song on the radio (b) a photo I took (c) a story I made up (d) a tune I made up
  26. 26.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  27. 27.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
  28. 28.Which of these is okay to share with an AI chatbot? (a) a friend’s secret (b) your name and school (c) your home address (d) a maths sum to explain
  29. 29.🔍 Which is the odd one out? (a) type it twice (b) write it in capitals (c) add a word limit (d) add exclamation marks
  30. 30.Which of these makes a weak prompt better? (a) write it in capitals (b) add exclamation marks (c) ask for steps (d) add lots of emojis
  31. 31.True or false: asking it to explain a sum you got wrong is NOT honest use. (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) fix wrong labels (d) check who is missing
  33. 33.True or false: a website that says “13+ only” means you should ask a parent or teacher first. (a) True (b) False
  34. 34.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can mix up numbers (c) AI copies data patterns (d) AI learns from data
  35. 35.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) format (c) task (d) role
  36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  37. 37.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to get a longer answer (c) to learn the method (d) to copy faster
  38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  39. 39.🧩 Which part of a prompt is this? “Check my essay for spelling mistakes.” (a) context (b) role (c) example (d) task
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model

Answer key

  1. compare the facts
  2. makes something new
  3. check summaries in books
  4. 80
  5. True
  6. asks only for the answer
  7. a spam filter
  8. asks for steps
  9. vague
  10. False
  11. False
  12. 8
  13. AI knows everything
  14. a story idea
  15. False
  16. your class level
  17. clear
  18. a prompt
  19. 50
  20. sorts or predicts
  21. training data
  22. True
  23. False
  24. needs credit
  25. a song on the radio
  26. True
  27. False
  28. a maths sum to explain
  29. add a word limit
  30. ask for steps
  31. False
  32. copy old unfair choices
  33. True
  34. AI always checks facts
  35. format
  36. not spam
  37. to learn the method
  38. the model
  39. task
  40. training data

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