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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 752 · 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: buying an add-on inside an app means you should ask a parent or teacher first. (a) False (b) True
  2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  3. 3.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  4. 4.True or false: “Make a 7-day study plan for my science exam, 1 hour a day.” is a clear prompt. (a) True (b) False
  5. 5.True or false: hiding that a picture was AI-made when the rules say tell is NOT honest use. (a) True (b) False
  6. 6.💬 Does this request help you learn, or do the work for you? “do my worksheet” (a) does it for you (b) helps you learn
  7. 7.🖼️ Warning sign or good sign: “share before it’s gone”? (a) a good sign (b) a warning sign
  8. 8.True or false: “asks for a password” is normal for a study chatbot. (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  10. 10.📖 Is this a good source to check an AI answer against: a forwarded message? (a) not a good source (b) a good source
  11. 11.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  12. 12.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) what training builds (d) flagging a new email
  13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  14. 14.True or false: “What is 15% of 240? Only the number.” asks the AI to show the steps. (a) False (b) True
  15. 15.True or false: “Make cards with a term on one side, its meaning on the other.” is asking for flashcards. (a) True (b) False
  16. 16.✔️ An AI chatbot says 14 × 4 = 56. Is that correct or wrong? (a) correct (b) wrong
  17. 17.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) ignore it (b) make a fake account (c) check it with a parent (d) lie about your age
  18. 18.©️ Whose work is it: a poet’s famous poem? (a) my own work (b) someone else’s work
  19. 19.🗂️ An AI flashcard has a wrong fact. What should you do? (a) learn it anyway (b) ignore it (c) correct the card (d) throw all cards away
  20. 20.🛠️ Which is the improved prompt?
    A: “Write a 5-question true-or-false quiz on the solar system with answers.”
    B: “Quiz on space.”
    (a) Prompt A (b) Prompt B
  21. 21.📷 In a plant-spotting app, your leaf photo is the… (a) input (b) model (c) output
  22. 22.Which of these is the model? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
  23. 23.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  24. 24.🔒 Keep it private or okay to share with an AI chatbot: a grammar doubt? (a) okay to share (b) keep it private
  25. 25.©️ Can you sell copies of someone else’s comic? (a) not without permission (b) yes, if you colour it (c) yes, any time
  26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  27. 27.True or false: “Explain one step at a time why 7 × 8 = 56.” asks the AI to show the steps. (a) True (b) False
  28. 28.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
  29. 29.📏 Why add a constraint to a prompt? (a) to waste time (b) to make AI angry (c) to get what you need (d) to hide the task
  30. 30.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  31. 31.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) text (c) music or sound
  32. 32.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
  33. 33.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
  34. 34.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  35. 35.Which of these is NOT a good source to check against? (a) your teacher (b) an encyclopedia (c) your school textbook (d) a random comment
  36. 36.Which of these is stage 1 (try it yourself)? (a) do one more on your own (b) ask how to start (c) try the sum yourself (d) solve a new one alone
  37. 37.🗂️ Arjun asks for 5 flashcards with 6 words on each. How many words is that in all?
  38. 38.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  39. 39.🧩 Which part of a prompt is this? “You are a science quiz master.” (a) role (b) context (c) example (d) task
  40. 40.🔎 Checking an AI answer: which do you do first — compare the facts or read the AI answer? (a) compare the facts (b) read the AI answer

Answer key

  1. True
  2. False
  3. not a real check
  4. True
  5. True
  6. does it for you
  7. a warning sign
  8. False
  9. balanced data
  10. not a good source
  11. learn from data
  12. recorded spoken words
  13. False
  14. False
  15. True
  16. correct
  17. check it with a parent
  18. someone else’s work
  19. correct the card
  20. Prompt A
  21. input
  22. what training builds
  23. old emails marked spam
  24. okay to share
  25. not without permission
  26. one-sided data
  27. True
  28. more labelled examples
  29. to get what you need
  30. True
  31. an image
  32. split train and test
  33. text
  34. its training data
  35. a random comment
  36. try the sum yourself
  37. 30
  38. needs AI (learning)
  39. role
  40. read the AI answer

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