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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 559 · 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.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  2. 2.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) your password (d) the weather
  3. 3.Which of these is the output? (a) your spoken words (b) the label “cat” (c) a tune you hum (d) your typed question
  4. 4.🔍 Which is the odd one out? (a) “define ‘orbit’ for me” (b) “write my poem for me” (c) “write my essay” (d) “do my worksheet”
  5. 5.📲 Input, model or output: “a tune you hum”? (a) the model (b) the output (c) the input
  6. 6.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
  7. 7.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  8. 8.🛠️ Does this make a weak prompt better: add lots of emojis? (a) a good fix (b) not a fix
  9. 9.True or false: “for a 9-year-old” sets the reading level. (a) True (b) False
  10. 10.🪜 What does this prompt ask for? “Answer only: what is x if 3x + 5 = 20?” (a) asks for steps (b) asks only for the answer
  11. 11.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  12. 12.🗂️ What study help is this prompt asking for? “Make 8 cards on the parts of a flower.” (a) a summary (b) an explanation (c) a practice quiz (d) flashcards
  13. 13.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  14. 14.Which of these is a poor way to study with AI? (a) asking it to do homework (b) ask why, not just what (c) short study sessions (d) make your own cards too
  15. 15.📚 Smart or poor way to study with AI: skipping the textbook? (a) smart study (b) poor study
  16. 16.💬 Does this request help you learn, or do the work for you? “make practice sums” (a) does it for you (b) helps you learn
  17. 17.🛠️ Does this make a weak prompt better: add your class level? (a) a good fix (b) not a fix
  18. 18.🔍 Which is the odd one out? (a) gives an example (b) asks to keep a secret (c) explains a topic (d) asks your class level
  19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  20. 20.🚩 A study chatbot asks for your address. Is that a red flag? (a) a red flag (b) normal
  21. 21.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  22. 22.📏 Kabir wants a 125-word answer split into 5 equal points. How many words should each point have?
  23. 23.🛠️ Which is the improved prompt?
    A: “Make a table of 5 Indian states with their capitals and one famous food each.”
    B: “States and capitals.”
    (a) Prompt A (b) Prompt B
  24. 24.True or false: “Style like: Roses are red…” is the format part of a prompt. (a) True (b) False
  25. 25.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) recognising (c) predicting (d) generating
  26. 26.True or false: “asks to keep a secret” is normal for a study chatbot. (a) True (b) False
  27. 27.🚩 A study chatbot asks for money. Is that a red flag? (a) normal (b) a red flag
  28. 28.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) flagging a new email (d) the learned patterns
  29. 29.🏷️ 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
  30. 30.True or false: asking it to explain a sum you got wrong is an honest way to use AI for homework. (a) False (b) True
  31. 31.🪜 What does this prompt ask for? “List the steps to make a paper boat.” (a) asks only for the answer (b) asks for steps
  32. 32.True or false: “Sample: Q: 4 × 2? A: 8” is the example part of a prompt. (a) True (b) False
  33. 33.Which of these is a myth about AI? (a) AI can be wrong (b) AI knows everything (c) AI can mix up numbers (d) AI learns from data
  34. 34.Which of these is a good source to check against? (a) a rumour from a friend (b) your teacher (c) the same chatbot again (d) a random comment
  35. 35.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  36. 36.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  37. 37.Which of these uses AI? (a) a printed timetable (b) a light switch (c) a fan regulator (d) photos grouped by face
  38. 38.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  39. 39.✍️ Which prompt is clearer?
    A: “Write a poem.”
    B: “Write a 4-line poem about the monsoon for our notice board.”
    (a) Prompt A (b) Prompt B
  40. 40.🖼️ Warning sign or good sign: no date or author? (a) a warning sign (b) a good sign

Answer key

  1. makes something new
  2. a text description
  3. the label “cat”
  4. “define ‘orbit’ for me”
  5. the input
  6. False
  7. a real check
  8. not a fix
  9. True
  10. asks only for the answer
  11. needs AI (learning)
  12. flashcards
  13. the trained program
  14. asking it to do homework
  15. poor study
  16. helps you learn
  17. a good fix
  18. asks to keep a secret
  19. to see if it learned
  20. a red flag
  21. text
  22. 25
  23. Prompt A
  24. False
  25. recognising
  26. False
  27. a red flag
  28. old emails marked spam
  29. spam
  30. True
  31. asks for steps
  32. True
  33. AI knows everything
  34. your teacher
  35. few child voices in data
  36. the learned patterns
  37. photos grouped by face
  38. tomorrow’s rain guess
  39. Prompt B
  40. a warning sign

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