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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 391 · 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: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  2. 2.Which of these is a myth about AI? (a) AI can be wrong (b) AI answers need checking (c) AI knows everything (d) AI can mix up numbers
  3. 3.🧩 Which part of a prompt is this? “I have a test on Friday.” (a) format (b) role (c) context (d) task
  4. 4.💬 Does this request help you learn, or do the work for you? “quiz me on Chapter 3” (a) helps you learn (b) does it for you
  5. 5.🔍 Which is the odd one out? (a) no trusted source (b) matches the textbook (c) a clear date (d) a named author
  6. 6.🛠️ Does this make a weak prompt better: split into small asks? (a) not a fix (b) a good fix
  7. 7.True or false: the request “define ‘orbit’ for me” helps you learn. (a) False (b) True
  8. 8.Which of these sets a length limit? (a) no hard science words (b) in 3 sentences or fewer (c) include 2 Indian rivers (d) in a formal tone
  9. 9.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) long answers are true (d) AI learns from data
  10. 10.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  11. 11.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  13. 13.🔁 What is the right order in a simple AI app? (a) model → output → input (b) input → model → output (c) output → input → model
  14. 14.Which of these is good for training a model? (a) clear, sharp examples (b) very few examples (c) labels added at random (d) blurry, unclear photos
  15. 15.True or false: an app asking for your location means you should ask a parent or teacher first. (a) False (b) True
  16. 16.Which of these says what to include? (a) like a news report (b) in a funny way (c) in a friendly tone (d) add a fun fact
  17. 17.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) examples of every type (d) correct labels
  18. 18.Which of these is a good source to check against? (a) your teacher (b) a random comment (c) a funny meme (d) a forwarded message
  19. 19.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  20. 20.🔍 Which is the odd one out? (a) a maths sum to explain (b) a grammar doubt (c) a story idea (d) a photo of your friend
  21. 21.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  22. 22.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  23. 23.💬 Rule-based or learning chatbot: “fails on new wording”? (a) rule-based (b) learning
  24. 24.🗂️ Vihaan asks for 4 flashcards with 6 words on each. How many words is that in all?
  25. 25.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  26. 26.🔁 Learning a hard sum with AI: which should you do first — ask how to start or do one more on your own? (a) ask how to start (b) do one more on your own
  27. 27.🪜 Which phrase asks for step-by-step help? (a) “explain each step” (b) “no explanation” (c) “skip the working” (d) “just the answer”
  28. 28.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  29. 29.Which of these makes a weak prompt better? (a) say the format you want (b) use unclear slang (c) add exclamation marks (d) add lots of emojis
  30. 30.📰 A post says, “Share before it gets deleted!” This is… (a) a warning sign (b) a source (c) a fact check (d) a good sign
  31. 31.©️ Does this need credit: a story you made up? (a) your own work (b) needs credit
  32. 32.🛠️ The answer was far too long. What should you add? (a) more questions (b) a password (c) a word limit (d) a new topic
  33. 33.🎂 Ask an adult first, or fine to do yourself: reading your school’s rules on AI? (a) fine to do yourself (b) ask an adult first
  34. 34.🔍 Which is the odd one out? (a) a maths sum to explain (b) your name and school (c) a history question (d) a topic for a quiz
  35. 35.🔍 Which is the odd one out? (a) your spelling list (b) a chapter name (c) a bank card number (d) a story idea
  36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  37. 37.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  38. 38.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  39. 39.🔎 How can you check where a photo first came from? (a) print it out (b) a reverse image search (c) zoom in on it (d) share it more
  40. 40.✔️ An AI chatbot says 11 × 3 = 33. Is that correct or wrong? (a) correct (b) wrong

Answer key

  1. False
  2. AI knows everything
  3. context
  4. helps you learn
  5. no trusted source
  6. a good fix
  7. True
  8. in 3 sentences or fewer
  9. AI learns from data
  10. not AI
  11. learn from data
  12. one-sided data
  13. input → model → output
  14. clear, sharp examples
  15. True
  16. add a fun fact
  17. only one kind of example
  18. your teacher
  19. 20
  20. a photo of your friend
  21. reduces bias
  22. True
  23. rule-based
  24. 24
  25. to see if it works
  26. ask how to start
  27. “explain each step”
  28. a myth
  29. say the format you want
  30. a warning sign
  31. your own work
  32. a word limit
  33. fine to do yourself
  34. your name and school
  35. a bank card number
  36. one-sided data
  37. AI
  38. a simple rule is enough
  39. a reverse image search
  40. correct

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