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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 350 · 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.📚 Smart or poor way to study with AI: fix any wrong flashcard? (a) smart study (b) poor study
  2. 2.📏 Why add a constraint to a prompt? (a) to waste time (b) to hide the task (c) to make AI angry (d) to get what you need
  3. 3.🎂 Ask an adult first, or fine to do yourself: logging out after using a study app? (a) ask an adult first (b) fine to do yourself
  4. 4.True or false: “handles new wording” describes a rule-based chatbot. (a) True (b) False
  5. 5.✍️ Clear or vague: “Describe how a bill becomes a law in India in 5 simple steps.”? (a) clear (b) vague
  6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  7. 7.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) wrong labels (d) new data for testing
  8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  9. 9.📦 Rohan collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  10. 10.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
  11. 11.🧩 Why add an example to a prompt? (a) to make it longer (b) to confuse the AI (c) to hide the task (d) to show the style
  12. 12.⏩ When you use an AI app, which happens first: the model makes a guess or you type a question? (a) the model makes a guess (b) you type a question
  13. 13.🧩 Which part of a prompt is this? “Give a numbered list.” (a) format (b) task (c) example (d) context
  14. 14.True or false: the request “check my draft” does the work for you. (a) True (b) False
  15. 15.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  16. 16.✍️ Which prompt is clearer?
    A: “List 6 science fair ideas about water that use cheap materials.”
    B: “Project ideas.”
    (a) Prompt A (b) Prompt B
  17. 17.Which of these is stage 2 (ask for help)? (a) attempt it on paper (b) ask how to start (c) solve a new one alone (d) have a go on your own
  18. 18.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  19. 19.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
  20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  21. 21.Which of these sets the style or tone? (a) in under 50 words (b) no more than 100 words (c) in very simple words (d) in a friendly tone
  22. 22.Which of these is training data? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
  23. 23.🛠️ Does this make a weak prompt better: give an example? (a) not a fix (b) a good fix
  24. 24.📚 Smart or poor way to study with AI: copying cards unread? (a) smart study (b) poor study
  25. 25.Which of these is a good source to check against? (a) a forwarded message (b) an encyclopedia (c) a funny meme (d) a rumour from a friend
  26. 26.🧩 Which part of a prompt is this? “I have a test on Friday.” (a) example (b) task (c) role (d) context
  27. 27.©️ Whose work is it: a quote from a book? (a) someone else’s work (b) my own work
  28. 28.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  29. 29.Which of these is not AI? (a) photos grouped by face (b) a kitchen weighing scale (c) a voice assistant (d) voice typing
  30. 30.🛠️ The answer was far too long. What should you add? (a) a new topic (b) more questions (c) a word limit (d) a password
  31. 31.⏩ When you use an AI app, which happens first: the reply appears or the model makes a guess? (a) the reply appears (b) the model makes a guess
  32. 32.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  33. 33.True or false: a diagram from an online encyclopedia is your own work (no credit needed). (a) True (b) False
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
  35. 35.🔒 What happens to what you type into many AI apps? (a) it turns into music (b) it becomes secret (c) it vanishes forever (d) it may be stored
  36. 36.🚩 A study chatbot offers a quiz. Is that a red flag? (a) normal (b) a red flag
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  38. 38.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) change colour (d) forget everything
  39. 39.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  40. 40.🔍 Which is the odd one out? (a) blurry, melted text (b) shadows going two ways (c) “share before it’s gone” (d) calm, factual words

Answer key

  1. smart study
  2. to get what you need
  3. fine to do yourself
  4. False
  5. clear
  6. training data
  7. new data for testing
  8. the model
  9. 144
  10. artificial intelligence
  11. to show the style
  12. you type a question
  13. format
  14. False
  15. trust the textbook
  16. Prompt A
  17. ask how to start
  18. good for training
  19. an image
  20. one-sided data
  21. in a friendly tone
  22. old emails marked spam
  23. a good fix
  24. poor study
  25. an encyclopedia
  26. context
  27. someone else’s work
  28. the learned patterns
  29. a kitchen weighing scale
  30. a word limit
  31. the model makes a guess
  32. a normal program
  33. False
  34. collect fruit photos
  35. it may be stored
  36. normal
  37. True
  38. better at its task
  39. train the model
  40. calm, factual words

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