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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 315 · 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.🛠️ Does this make a weak prompt better: add unrelated details? (a) not a fix (b) a good fix
  2. 2.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
  3. 3.⏩ When you use an AI app, which happens first: the model finds patterns or you upload a photo? (a) the model finds patterns (b) you upload a photo
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  5. 5.🔍 Which is the odd one out? (a) “do my worksheet” (b) “quiz me on Chapter 3” (c) “check my draft” (d) “make practice sums”
  6. 6.✍️ Clear or vague: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”? (a) vague (b) clear
  7. 7.Which of these is a fact about AI? (a) AI has real feelings (b) AI can make up facts (c) AI is never wrong (d) long answers are true
  8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  9. 9.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
  10. 10.True or false: “Just give me the answer to 456 ÷ 4.” asks the AI to show the steps. (a) False (b) True
  11. 11.🔒 What can you safely ask an AI chatbot? (a) your bank PIN (b) your home address (c) a friend’s phone number (d) a science doubt
  12. 12.🔍 Which is the odd one out? (a) a map predicting traffic (b) a light switch (c) a calculator (d) a torch
  13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  14. 14.True or false: “a photo from a website” is someone else’s work (credit it). (a) False (b) True
  15. 15.🧩 Which part of a prompt is this? “You are a science quiz master.” (a) role (b) example (c) task (d) format
  16. 16.🛠️ Which is the improved prompt?
    A: “Fractions.”
    B: “Give me 8 practice sums on adding fractions with the same denominator, answers at the end.”
    (a) Prompt A (b) Prompt B
  17. 17.⏩ When you use an AI app, which happens first: you hum a tune or the model makes a guess? (a) you hum a tune (b) the model makes a guess
  18. 18.©️ Who owns the copyright of a song? (a) anyone who hears it (b) nobody at all (c) the radio (d) the person who made it
  19. 19.📏 What kind of constraint is “in under 50 words”? (a) a style or tone (b) a reading level (c) what to include (d) a length limit
  20. 20.True or false: “Explain photosynthesis to a Class 6 student in 5 short steps.” is a vague prompt. (a) True (b) False
  21. 21.🔒 Is it safe to type your password into an AI chatbot? (a) only short ones (b) yes (c) no, never
  22. 22.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  23. 23.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) more capitals (b) a password (c) context (d) a random emoji
  24. 24.Which of these is the input? (a) the typed reply (b) the part that decides (c) a photo you upload (d) the trained AI part
  25. 25.📲 Input, model or output: “the trained AI part”? (a) the output (b) the input (c) the model
  26. 26.True or false: “split into small asks” makes a weak prompt better. (a) False (b) True
  27. 27.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) wrong labels (d) blurry, unclear photos
  28. 28.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) example (b) context (c) task (d) role
  29. 29.Which of these makes a weak prompt better? (a) leave out the topic (b) add lots of emojis (c) name the exact topic (d) make it vaguer
  30. 30.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  31. 31.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
  32. 32.📲 Input, model or output: “the generated picture”? (a) the output (b) the input (c) the model
  33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  34. 34.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) examples of every type (d) clear, sharp examples
  35. 35.✍️ Which prompt is clearer?
    A: “Names please.”
    B: “Suggest 4 names for our eco club, each under 3 words.”
    (a) Prompt A (b) Prompt B
  36. 36.🚩 A study chatbot asks for your address. Is that a red flag? (a) normal (b) a red flag
  37. 37.✍️ Which prompt is clearer?
    A: “Test me.”
    B: “Give me a 5-question quiz on nouns from Chapter 2, then show the answers.”
    (a) Prompt A (b) Prompt B
  38. 38.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  40. 40.📖 The AI answer and your textbook disagree. What should you do? (a) skip the question (b) ask your teacher (c) trust the AI (d) pick at random

Answer key

  1. not a fix
  2. a basic calculator
  3. you upload a photo
  4. spam
  5. “do my worksheet”
  6. clear
  7. AI can make up facts
  8. training data
  9. True
  10. False
  11. a science doubt
  12. a map predicting traffic
  13. 500 labelled leaf photos
  14. True
  15. role
  16. Prompt B
  17. you hum a tune
  18. the person who made it
  19. a length limit
  20. False
  21. no, never
  22. AI
  23. context
  24. a photo you upload
  25. the model
  26. True
  27. clear, sharp examples
  28. task
  29. name the exact topic
  30. False
  31. 5
  32. the output
  33. 10
  34. testing on training data
  35. Prompt B
  36. a red flag
  37. Prompt B
  38. AI
  39. training data
  40. ask your teacher

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