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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 955 · 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.📚 Smart or poor way to study with AI: answer before peeking? (a) poor study (b) smart study
  2. 2.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  3. 3.🎯 Kabir’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
  4. 4.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add more of the same (d) ignore complaints
  5. 5.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  6. 6.🔎 Before sharing a surprising post, which comes first — report it if fake or notice your feelings? (a) report it if fake (b) notice your feelings
  7. 7.📷 The app replies “neem leaf”. That reply is the… (a) training data (b) input (c) output
  8. 8.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) photos in many lights (d) only one kind of example
  9. 9.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a password (b) more capitals (c) a random emoji (d) context
  10. 10.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) spots patterns in data
  11. 11.Which of these is a smart way to study with AI? (a) answer before peeking (b) skipping the textbook (c) trusting every summary (d) never checking mistakes
  12. 12.Which of these is stage 1 (try it yourself)? (a) try the sum yourself (b) ask for one hint (c) solve a new one alone (d) ask how to start
  13. 13.True or false: “It is for a school assembly.” is the context part of a prompt. (a) True (b) False
  14. 14.🖼️ Warning sign or good sign: a named author? (a) a good sign (b) a warning sign
  15. 15.📖 An AI chatbot gives a quote and a source. What should you do? (a) delete your notes (b) add more quotes (c) copy it straight away (d) check the source is real
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) making up a story (c) drafting a letter (d) predicting rain
  17. 17.🪜 Why ask an AI chatbot to show the steps? (a) to copy faster (b) to learn the method (c) to get a longer answer (d) to make it slower
  18. 18.True or false: “write a poem about the monsoon” asks for an image. (a) False (b) True
  19. 19.⏩ When you use an AI app, which happens first: the model makes a guess or the label “cat” shows? (a) the model makes a guess (b) the label “cat” shows
  20. 20.📲 Input, model or output: “the label “cat””? (a) the model (b) the output (c) the input
  21. 21.True or false: “Make a 10-question test on decimals, answers at the end.” is asking for a practice quiz. (a) False (b) True
  22. 22.Which of these requests helps you learn? (a) “where did I go wrong?” (b) “write my diary entry” (c) “write my essay” (d) “finish my homework”
  23. 23.True or false: “labelled fruit photos” is the model. (a) True (b) False
  24. 24.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) does exactly as coded (d) handles unseen examples
  25. 25.🔁 Learning a hard sum with AI: which should you do first — do one more on your own or attempt it on paper? (a) do one more on your own (b) attempt it on paper
  26. 26.🧩 Why add an example to a prompt? (a) to make it longer (b) to confuse the AI (c) to show the style (d) to hide the task
  27. 27.🖼️ Warning sign or good sign: fits other reports? (a) a warning sign (b) a good sign
  28. 28.©️ Can you sell copies of someone else’s comic? (a) yes, any time (b) yes, if you colour it (c) not without permission
  29. 29.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  30. 30.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  31. 31.Which of these is someone else’s work (credit it)? (a) a photo from a website (b) a poem I wrote (c) a tune I made up (d) a photo I took
  32. 32.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  33. 33.🔒 What can you safely ask an AI chatbot? (a) your bank PIN (b) your home address (c) a friend’s phone number (d) a science doubt
  34. 34.True or false: “what training builds” is training data. (a) True (b) False
  35. 35.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  36. 36.✍️ Clear or vague: “Explain the difference between weather and climate with one example each.”? (a) clear (b) vague
  37. 37.🚩 A study chatbot asks for money. Is that a red flag? (a) a red flag (b) normal
  38. 38.🪜 What does this prompt ask for? “Walk me through how you found the area.” (a) asks for steps (b) asks only for the answer
  39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  40. 40.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI knows everything (d) AI always checks facts

Answer key

  1. smart study
  2. True
  3. 70
  4. check who is missing
  5. False
  6. notice your feelings
  7. output
  8. photos in many lights
  9. context
  10. uses rules people wrote
  11. answer before peeking
  12. try the sum yourself
  13. True
  14. a good sign
  15. check the source is real
  16. predicting rain
  17. to learn the method
  18. False
  19. the model makes a guess
  20. the output
  21. True
  22. “where did I go wrong?”
  23. False
  24. handles unseen examples
  25. attempt it on paper
  26. to show the style
  27. a good sign
  28. not without permission
  29. True
  30. bad for training
  31. a photo from a website
  32. False
  33. a science doubt
  34. False
  35. no
  36. clear
  37. a red flag
  38. asks for steps
  39. 10
  40. AI copies data patterns

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