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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 506 · 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.Which of these is a smart way to study with AI? (a) make your own cards too (b) asking it to do homework (c) reading answers only (d) skipping the textbook
  2. 2.🔍 Which is the odd one out? (a) a bank card number (b) a topic for a quiz (c) your name and school (d) your phone number
  3. 3.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  4. 4.✂️ Arjun asked an AI chatbot for an answer of at most 40 words, but it wrote 53 words. How many words over the limit is that?
  5. 5.©️ Whose work is it: a song on the radio? (a) someone else’s work (b) my own work
  6. 6.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) use one group only
  7. 7.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  8. 8.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  9. 9.🚩 A study chatbot admits it is unsure. Is that a red flag? (a) normal (b) a red flag
  10. 10.True or false: “says not to tell parents” is normal for a study chatbot. (a) False (b) True
  11. 11.🛠️ Which is the improved prompt?
    A: “Quiz on space.”
    B: “Write a 5-question true-or-false quiz on the solar system with answers.”
    (a) Prompt A (b) Prompt B
  12. 12.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or do one more on your own? (a) try the sum yourself (b) do one more on your own
  13. 13.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or solve a new one alone? (a) ask for one hint (b) solve a new one alone
  14. 14.Which of these is generative AI (it makes something new)? (a) reading number plates (b) suggesting a video (c) unlocking with a face (d) inventing a recipe
  15. 15.🗂️ An AI made you a summary. What should you do next? (a) delete the book (b) check it with the book (c) learn it blindly (d) share it as yours
  16. 16.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) AI knows everything (d) AI can mix up numbers
  17. 17.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
  18. 18.Which of these is a warning sign of a fake picture or story? (a) too good to be true (b) matches the textbook (c) many trusted sources (d) a named author
  19. 19.📖 Which is the most trusted source for a school fact? (a) a chain message (b) a funny meme (c) a random comment (d) your textbook
  20. 20.🔎 Before sharing a surprising post, which comes first — share only if true or notice your feelings? (a) share only if true (b) notice your feelings
  21. 21.✍️ Which prompt is clearer?
    A: “Give 5 quiz questions on the solar system with 4 options each.”
    B: “Quiz.”
    (a) Prompt A (b) Prompt B
  22. 22.📖 Is this a good source to check an AI answer against: a government website? (a) a good source (b) not a good source
  23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) check who is missing
  24. 24.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  25. 25.🔍 Which is the odd one out? (a) only one kind of example (b) correct labels (c) very few examples (d) blurry, unclear photos
  26. 26.✍️ Clear or vague: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”? (a) clear (b) vague
  27. 27.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) asks you to check facts (b) says it may be wrong (c) asks for your address (d) explains a topic
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  30. 30.True or false: “with one example” says what to include. (a) False (b) True
  31. 31.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
  32. 32.©️ Whose work is it: a poem I wrote? (a) my own work (b) someone else’s work
  33. 33.🪜 What does this prompt ask for? “One word answer: is 91 prime?” (a) asks only for the answer (b) asks for steps
  34. 34.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
  35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  36. 36.📝 Honest use or copying: checking your answer after you have tried? (a) honest use (b) not honest
  37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  38. 38.Which of these should be kept private — never share it with an AI chatbot? (a) a riddle to solve (b) a history question (c) a topic for a quiz (d) your home address
  39. 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction

Answer key

  1. make your own cards too
  2. a topic for a quiz
  3. no
  4. 13
  5. someone else’s work
  6. test on many groups
  7. not AI
  8. False
  9. normal
  10. False
  11. Prompt B
  12. try the sum yourself
  13. ask for one hint
  14. inventing a recipe
  15. check it with the book
  16. AI can mix up numbers
  17. an image
  18. too good to be true
  19. your textbook
  20. notice your feelings
  21. Prompt A
  22. a good source
  23. check who is missing
  24. False
  25. correct labels
  26. clear
  27. False
  28. asks for your address
  29. train the model
  30. True
  31. more labelled examples
  32. my own work
  33. asks only for the answer
  34. True
  35. the model
  36. honest use
  37. training data
  38. your home address
  39. True
  40. training data

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