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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 320 · 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: “in a formal tone” sets the style or tone. (a) False (b) True
  2. 2.True or false: “past weather records” is training data. (a) False (b) True
  3. 3.🖼️ Warning sign or good sign: mismatched earrings? (a) a good sign (b) a warning sign
  4. 4.🛠️ Which is the improved prompt?
    A: “Speaking tips.”
    B: “Give 4 tips to speak confidently in assembly, in simple words.”
    (a) Prompt A (b) Prompt B
  5. 5.📖 An AI chatbot gives a quote and a source. What should you do? (a) copy it straight away (b) add more quotes (c) delete your notes (d) check the source is real
  6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  7. 7.❌ Saanvi’s recycling sorter was tested on 49 new waste photos and got 47 right. How many did it get wrong?
  8. 8.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  9. 9.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) follows fixed rules (d) improves with more data
  10. 10.🧩 “Answer in a table.” This part of a prompt is the… (a) format (b) role (c) task (d) context
  11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing a new poem (c) reading number plates (d) composing a new tune
  12. 12.🔎 Checking an AI answer: which do you do first — compare the facts or open your textbook? (a) compare the facts (b) open your textbook
  13. 13.📖 Is this a good source to check an AI answer against: a rumour from a friend? (a) not a good source (b) a good source
  14. 14.🔍 Which is the odd one out? (a) suggesting a video (b) writing quiz questions (c) drafting a letter (d) creating a cartoon
  15. 15.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) testing on training data (d) very few examples
  16. 16.🔍 Which is the odd one out? (a) fits other reports (b) a clear date (c) a shocking headline (d) a named author
  17. 17.🗂️ What study help is this prompt asking for? “Why does the Moon change shape? Explain for Class 6.” (a) a summary (b) flashcards (c) an explanation (d) a practice quiz
  18. 18.Which of these is a red flag — stop and tell an adult? (a) asks for a password (b) asks you to check facts (c) says it may be wrong (d) gives an example
  19. 19.Which of these says what to include? (a) in a formal tone (b) in 3 sentences or fewer (c) answers at the end (d) no more than 100 words
  20. 20.🔎 Before sharing a surprising post, which comes first — search trusted news or share only if true? (a) search trusted news (b) share only if true
  21. 21.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  22. 22.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) naming a new leaf
  23. 23.💬 Does this request help you learn, or do the work for you? “write my poem for me” (a) does it for you (b) helps you learn
  24. 24.Which of these uses AI? (a) a torch (b) a kitchen weighing scale (c) a spam filter (d) a microwave timer
  25. 25.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 42 right and Model B got 40 right. How many percentage points more accurate is Model A?
  26. 26.🪜 What does this prompt ask for? “Final answer only for question 7.” (a) asks for steps (b) asks only for the answer
  27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  28. 28.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recommending (c) recognising (d) predicting
  29. 29.📝 Honest use or copying: asking for a simpler explanation of a chapter? (a) not honest (b) honest use
  30. 30.True or false: “Turn these 10 words into question-and-answer cards.” is asking for flashcards. (a) False (b) True
  31. 31.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  32. 32.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a battery (c) a password (d) a label
  33. 33.🛠️ Which is the improved prompt?
    A: “New words.”
    B: “Give me 6 new English words with meanings and one sentence each, for Class 6.”
    (a) Prompt A (b) Prompt B
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  35. 35.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI can mix up numbers (d) AI always checks facts
  36. 36.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add more of the same (d) check who is missing
  37. 37.🪜 What does this prompt ask for? “Show your working for 15% of 240.” (a) asks only for the answer (b) asks for steps
  38. 38.📏 What kind of constraint is “answers at the end”? (a) what to include (b) a reading level (c) a style or tone (d) a length limit
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  40. 40.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website

Answer key

  1. True
  2. True
  3. a warning sign
  4. Prompt B
  5. check the source is real
  6. spam
  7. 2
  8. False
  9. improves with more data
  10. format
  11. reading number plates
  12. open your textbook
  13. not a good source
  14. suggesting a video
  15. many varied examples
  16. a shocking headline
  17. an explanation
  18. asks for a password
  19. answers at the end
  20. search trusted news
  21. the learned patterns
  22. the learned patterns
  23. does it for you
  24. a spam filter
  25. 4
  26. asks only for the answer
  27. the model
  28. recognising
  29. honest use
  30. True
  31. reduces bias
  32. a prompt
  33. Prompt B
  34. spam
  35. AI can mix up numbers
  36. add more of the same
  37. asks for steps
  38. what to include
  39. training data
  40. predicts likely words

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