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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 880 · 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.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
  2. 2.True or false: asking for feedback on your own essay draft is an honest way to use AI for homework. (a) True (b) False
  3. 3.True or false: making practice questions to test yourself is an honest way to use AI for homework. (a) True (b) False
  4. 4.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
  5. 5.📏 What kind of constraint is “in 2 lines only”? (a) what to include (b) a reading level (c) a style or tone (d) a length limit
  6. 6.📏 Nisha wants a 75-word answer split into 5 equal points. How many words should each point have?
  7. 7.📖 Is this a good source to check an AI answer against: a forwarded message? (a) a good source (b) not a good source
  8. 8.Which of these is a warning sign of a fake picture or story? (a) a background that bends (b) a known news desk (c) many trusted sources (d) matches the textbook
  9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  10. 10.Which of these is generative AI (it makes something new)? (a) spotting spam (b) writing quiz questions (c) turning speech to text (d) suggesting a video
  11. 11.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
  12. 12.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  13. 13.🔒 An AI chatbot asks for your home address. What should you do? (a) give a friend’s (b) share half of it (c) share it quickly (d) say no, tell an adult
  14. 14.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) typing a new spoken word (d) tomorrow’s rain guess
  15. 15.🧩 “Answer in a table.” This part of a prompt is the… (a) format (b) role (c) context (d) task
  16. 16.📲 Input, model or output: “a tune you hum”? (a) the model (b) the input (c) the output
  17. 17.🗂️ An AI flashcard has a wrong fact. What should you do? (a) ignore it (b) correct the card (c) throw all cards away (d) learn it anyway
  18. 18.🛠️ Which is the improved prompt?
    A: “What is a noun?”
    B: “Explain what a noun is with 3 examples from a school day.”
    (a) Prompt A (b) Prompt B
  19. 19.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) only one kind of example (d) photos in many lights
  20. 20.Which of these is a myth about AI? (a) long answers are true (b) AI answers need checking (c) AI can mix up numbers (d) AI learns from data
  21. 21.🛠️ Which is the improved prompt?
    A: “How do seeds grow?”
    B: “Explain how a seed grows into a plant in 5 numbered steps for Class 4.”
    (a) Prompt A (b) Prompt B
  22. 22.📝 What is the best way to use AI for a hard maths chapter? (a) copy its answers (b) ask it to explain (c) ask it to do all sums (d) avoid the chapter
  23. 23.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  24. 24.©️ Does this need credit: a fact from a science magazine in your report? (a) needs credit (b) your own work
  25. 25.True or false: “correct labels” is bad for training a model. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  27. 27.✍️ Which prompt is clearer?
    A: “Quiz.”
    B: “Give 5 quiz questions on the solar system with 4 options each.”
    (a) Prompt A (b) Prompt B
  28. 28.🔍 Which is the odd one out? (a) drawing a new picture (b) drafting a letter (c) sorting photos by face (d) writing a new poem
  29. 29.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) generating (c) recognising (d) recommending
  30. 30.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) learning (b) rule-based
  31. 31.✂️ Meera asked an AI chatbot for an answer of at most 40 words, but it wrote 57 words. How many words over the limit is that?
  32. 32.True or false: “Give me 10 questions on the 7 times table, with answers at the end.” is a clear prompt. (a) True (b) False
  33. 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  34. 34.📲 Input, model or output: “a drawing you make”? (a) the model (b) the output (c) the input
  35. 35.🗂️ What study help is this prompt asking for? “Turn these 10 words into question-and-answer cards.” (a) a practice quiz (b) flashcards (c) an explanation (d) a summary
  36. 36.©️ Whose work is it: a chart from the news? (a) my own work (b) someone else’s work
  37. 37.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  38. 38.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  39. 39.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  40. 40.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False

Answer key

  1. text
  2. True
  3. True
  4. learn from data
  5. a length limit
  6. 15
  7. not a good source
  8. a background that bends
  9. 500 labelled leaf photos
  10. writing quiz questions
  11. False
  12. False
  13. say no, tell an adult
  14. recorded spoken words
  15. format
  16. the input
  17. correct the card
  18. Prompt B
  19. only one kind of example
  20. long answers are true
  21. Prompt B
  22. ask it to explain
  23. uses AI
  24. needs credit
  25. False
  26. training data
  27. Prompt B
  28. sorting photos by face
  29. recommending
  30. rule-based
  31. 17
  32. True
  33. to see if it works
  34. the input
  35. flashcards
  36. someone else’s work
  37. True
  38. True
  39. False
  40. True

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