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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 848 · 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.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) learning (b) rule-based
  2. 2.Which of these is stage 1 (try it yourself)? (a) ask for the steps (b) ask for one hint (c) attempt it on paper (d) try a similar sum alone
  3. 3.📝 You used AI to get ideas for a project. What is honest? (a) hide it (b) say how you used it (c) say it is all yours (d) blame the AI
  4. 4.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
  5. 5.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  6. 6.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
  7. 7.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a picture (b) a length limit (c) a password (d) a role
  8. 8.🖼️ Warning sign or good sign: too good to be true? (a) a good sign (b) a warning sign
  9. 9.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  10. 10.🧩 Which part of a prompt is this? “I have a test on Friday.” (a) example (b) context (c) format (d) task
  11. 11.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  13. 13.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  14. 14.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  15. 15.True or false: “needs lots of data” describes a learning chatbot. (a) False (b) True
  16. 16.🧩 Which part of a prompt is this? “Check my essay for spelling mistakes.” (a) context (b) task (c) format (d) example
  17. 17.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
  18. 18.©️ Who owns the copyright of a song? (a) the radio (b) the person who made it (c) nobody at all (d) anyone who hears it
  19. 19.✍️ Clear or vague: “Test me.”? (a) vague (b) clear
  20. 20.🎂 Ask an adult first, or fine to do yourself: an app asking to use your camera? (a) ask an adult first (b) fine to do yourself
  21. 21.🔍 Which is the odd one out? (a) asks your class level (b) gives an example (c) urges you to click links (d) says it may be wrong
  22. 22.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) labelled fruit photos
  23. 23.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) check who is missing
  24. 24.🔍 Which is the odd one out? (a) “make practice sums” (b) “quiz me on Chapter 3” (c) “define ‘orbit’ for me” (d) “write my diary entry”
  25. 25.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  27. 27.📏 Why add a constraint to a prompt? (a) to waste time (b) to hide the task (c) to get what you need (d) to make AI angry
  28. 28.True or false: “Quiz me on capitals, one question at a time.” is asking for a practice quiz. (a) False (b) True
  29. 29.📚 Smart or poor way to study with AI: check summaries in books? (a) poor study (b) smart study
  30. 30.True or false: “Translate ‘Where is the library?’ into Hindi and show how to say it.” is a clear prompt. (a) False (b) True
  31. 31.Which of these is a poor way to study with AI? (a) fix any wrong flashcard (b) mix AI and real practice (c) asking it to do homework (d) make your own cards too
  32. 32.🛠️ Does this make a weak prompt better: add your class level? (a) a good fix (b) not a fix
  33. 33.True or false: “uses if-then rules” describes a learning chatbot. (a) False (b) True
  34. 34.📚 Smart or poor way to study with AI: ask why, not just what? (a) smart study (b) poor study
  35. 35.Which of these is NOT a good source to check against? (a) a random comment (b) your school textbook (c) your teacher (d) a science museum site
  36. 36.🗂️ An AI made you a summary. What should you do next? (a) check it with the book (b) learn it blindly (c) delete the book (d) share it as yours
  37. 37.True or false: “a bank card number” is okay to share with an AI chatbot. (a) True (b) False
  38. 38.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
  39. 39.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
  40. 40.🛠️ Does this make a weak prompt better: write it in capitals? (a) not a fix (b) a good fix

Answer key

  1. rule-based
  2. attempt it on paper
  3. say how you used it
  4. pick a question to solve
  5. True
  6. True
  7. a length limit
  8. a warning sign
  9. True
  10. context
  11. False
  12. a prediction
  13. a basic calculator
  14. correct ÷ total × 100
  15. True
  16. task
  17. paper and examples
  18. the person who made it
  19. vague
  20. ask an adult first
  21. urges you to click links
  22. what training builds
  23. check who is missing
  24. “write my diary entry”
  25. AI
  26. not spam
  27. to get what you need
  28. True
  29. smart study
  30. True
  31. asking it to do homework
  32. a good fix
  33. False
  34. smart study
  35. a random comment
  36. check it with the book
  37. False
  38. naming a new leaf
  39. its training data
  40. not a fix

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