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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 488 · 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: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  3. 3.True or false: “a photo of your friend” should be kept private — never share it with an AI chatbot. (a) True (b) False
  4. 4.✍️ Clear or vague: “Tell me about laws.”? (a) vague (b) clear
  5. 5.True or false: “a science question” is okay to share with an AI chatbot. (a) True (b) False
  6. 6.True or false: “Write a 4-line poem about the monsoon for our notice board.” is a vague prompt. (a) True (b) False
  7. 7.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) flashcards (b) a summary (c) a practice quiz (d) an explanation
  8. 8.Which of these is stage 1 (try it yourself)? (a) try a similar sum alone (b) ask for one hint (c) have a go on your own (d) ask how to start
  9. 9.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  10. 10.True or false: “balance the data” helps reduce bias. (a) False (b) True
  11. 11.True or false: “add your class level” makes a weak prompt better. (a) False (b) True
  12. 12.✍️ Clear or vague: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.”? (a) vague (b) clear
  13. 13.🔍 Which is the odd one out? (a) “answer all 10 sums” (b) “give me a hint” (c) “explain this step” (d) “check my draft”
  14. 14.©️ Does this need credit: a story you made up? (a) your own work (b) needs credit
  15. 15.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) typing a new spoken word
  16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
  17. 17.🚩 A study chatbot asks for photos of you. Is that a red flag? (a) a red flag (b) normal
  18. 18.✍️ Which prompt is clearer?
    A: “Write a polite 3-line message asking my teacher for extra practice sheets.”
    B: “Write a message.”
    (a) Prompt A (b) Prompt B
  19. 19.Which of these is a smart way to study with AI? (a) never checking mistakes (b) copying cards unread (c) last-night cramming (d) ask why, not just what
  20. 20.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.🛠️ Does this make a weak prompt better: add a word limit? (a) not a fix (b) a good fix
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  23. 23.Which of these is NOT a good source to check against? (a) a library book (b) an encyclopedia (c) your school textbook (d) a rumour from a friend
  24. 24.📦 Kabir collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  25. 25.🪜 What does this prompt ask for? “Show each step of 456 ÷ 4.” (a) asks only for the answer (b) asks for steps
  26. 26.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a battery (c) a label (d) a password
  27. 27.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) predicting (d) recommending
  28. 28.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) ignore them (c) copy them blindly (d) check each step
  29. 29.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
  30. 30.True or false: “Quiz me on capitals, one question at a time.” is asking for a summary. (a) False (b) True
  31. 31.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  32. 32.True or false: an app asking for your date of birth means you should ask a parent or teacher first. (a) False (b) True
  33. 33.📏 What kind of constraint is “in 3 sentences or fewer”? (a) a length limit (b) a style or tone (c) what to include (d) a reading level
  34. 34.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  35. 35.Which of these is stage 1 (try it yourself)? (a) do one more on your own (b) try a similar sum alone (c) try the sum yourself (d) ask for the steps
  36. 36.🔢 How many words are in this prompt?
    “Explain how rain forms as a short story.”
  37. 37.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI answers need checking (d) AI copies data patterns
  38. 38.Which of these is a myth about AI? (a) AI knows everything (b) AI copies data patterns (c) AI can make up facts (d) AI learns from data
  39. 39.✔️ An AI chatbot says 11 × 3 = 33. Is that correct or wrong? (a) wrong (b) correct
  40. 40.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking

Answer key

  1. True
  2. bias from data
  3. True
  4. vague
  5. True
  6. False
  7. an explanation
  8. have a go on your own
  9. makes something new
  10. True
  11. True
  12. clear
  13. “answer all 10 sums”
  14. your own work
  15. typing a new spoken word
  16. many labelled photos
  17. a red flag
  18. Prompt A
  19. ask why, not just what
  20. needs AI (learning)
  21. a good fix
  22. not spam
  23. a rumour from a friend
  24. 104
  25. asks for steps
  26. a prompt
  27. recommending
  28. check each step
  29. False
  30. False
  31. paper and examples
  32. True
  33. a length limit
  34. no, it can be wrong
  35. try the sum yourself
  36. 8
  37. AI is never wrong
  38. AI knows everything
  39. correct
  40. recommending

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