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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 920 · 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 reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  2. 2.🔒 Can you upload a photo of your friend to an AI app? (a) yes, if it is funny (b) yes, any time (c) no, never
  3. 3.🧩 Which part of a prompt is this? “Act as a friendly maths tutor.” (a) role (b) task (c) context (d) format
  4. 4.Which of these is someone else’s work (credit it)? (a) a poem I wrote (b) a tune I made up (c) a story I made up (d) a chart from the news
  5. 5.🗂️ What study help is this prompt asking for? “Explain what a prime number is, with examples.” (a) flashcards (b) an explanation (c) a summary (d) a practice quiz
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  7. 7.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) many varied examples (d) copies of one photo
  8. 8.True or false: “Make 8 cards on the parts of a flower.” is asking for flashcards. (a) False (b) True
  9. 9.✍️ Clear or vague: “Make a 7-day study plan for my science exam, 1 hour a day.”? (a) vague (b) clear
  10. 10.✍️ 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
  11. 11.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
  12. 12.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  13. 13.🧩 Which part of a prompt is this? “Pretend you are a travel guide.” (a) context (b) role (c) example (d) task
  14. 14.🔍 Which is the odd one out? (a) a riddle to solve (b) your password (c) a maths sum to explain (d) a science question
  15. 15.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) makes a best guess (d) one set rule per case
  16. 16.🖼️ Warning sign or good sign: a shocking headline? (a) a warning sign (b) a good sign
  17. 17.📦 Vihaan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  18. 18.Which of these makes a weak prompt better? (a) add a word limit (b) type it twice (c) use unclear slang (d) leave out the topic
  19. 19.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  20. 20.🔒 Keep it private or okay to share with an AI chatbot: a story idea? (a) keep it private (b) okay to share
  21. 21.True or false: “asks to keep a secret” is a red flag — stop and tell an adult. (a) True (b) False
  22. 22.✍️ Which prompt is clearer?
    A: “Teach me maths.”
    B: “Explain fractions to a Class 4 student using a pizza example.”
    (a) Prompt A (b) Prompt B
  23. 23.Which of these should be kept private — never share it with an AI chatbot? (a) a chapter name (b) your live location (c) your spelling list (d) a science question
  24. 24.🛠️ Does this make a weak prompt better: leave out the topic? (a) a good fix (b) not a fix
  25. 25.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a prompt (d) a battery
  26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  27. 27.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  28. 28.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) AI knows everything (d) AI always checks facts
  29. 29.Which of these is bad for training a model? (a) wrong labels (b) clear, sharp examples (c) examples of every type (d) new data for testing
  30. 30.🗂️ What study help is this prompt asking for? “Turn these 10 words into question-and-answer cards.” (a) a summary (b) a practice quiz (c) flashcards (d) an explanation
  31. 31.✂️ Ananya asked an AI chatbot for an answer of at most 60 words, but it wrote 64 words. How many words over the limit is that?
  32. 32.Which of these is training data? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
  33. 33.🚩 A study chatbot asks you to check facts. Is that a red flag? (a) a red flag (b) normal
  34. 34.🎯 Rohan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
  35. 35.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  36. 36.⏩ When you use an AI app, which happens first: the answer is shown or you type a question? (a) the answer is shown (b) you type a question
  37. 37.Which of these should be kept private — never share it with an AI chatbot? (a) a grammar doubt (b) a story idea (c) your password (d) a maths sum to explain
  38. 38.🖼️ Warning sign or good sign: many trusted sources? (a) a good sign (b) a warning sign
  39. 39.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  40. 40.True or false: “gives a likely answer” describes how AI works. (a) True (b) False

Answer key

  1. adds to bias
  2. no, never
  3. role
  4. a chart from the news
  5. an explanation
  6. to see if it learned
  7. copies of one photo
  8. True
  9. clear
  10. Prompt A
  11. no, it finds patterns
  12. AI
  13. role
  14. your password
  15. one set rule per case
  16. a warning sign
  17. 80
  18. add a word limit
  19. what training builds
  20. okay to share
  21. True
  22. Prompt B
  23. your live location
  24. not a fix
  25. a prompt
  26. reduces bias
  27. not AI
  28. AI learns from data
  29. wrong labels
  30. flashcards
  31. 4
  32. 500 labelled leaf photos
  33. normal
  34. 60
  35. makes something new
  36. you type a question
  37. your password
  38. a good sign
  39. good for training
  40. True

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