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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 601 · 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.Which of these should be kept private — never share it with an AI chatbot? (a) a science question (b) your spelling list (c) a friend’s secret (d) a chapter name
  2. 2.True or false: “Give me just the answers to all 10 sums.” asks the AI to show the steps. (a) True (b) False
  3. 3.🧩 Which part of a prompt is this? “Act as my spelling coach.” (a) context (b) role (c) format (d) task
  4. 4.📰 A post says, “Share before it gets deleted!” This is… (a) a source (b) a fact check (c) a good sign (d) a warning sign
  5. 5.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
  6. 6.✍️ Clear or vague: “Tell me about laws.”? (a) vague (b) clear
  7. 7.True or false: telling an adult about a rude message means you should ask a parent or teacher first. (a) True (b) False
  8. 8.Which of these is the model? (a) the predicted word (b) a photo you upload (c) a drawing you make (d) the trained AI part
  9. 9.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  10. 10.🔍 Which is the odd one out? (a) too good to be true (b) calm, factual words (c) the original photo found (d) a named author
  11. 11.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
  12. 12.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) turning speech to text (c) unlocking with a face (d) spotting a sick leaf
  13. 13.✍️ Which prompt is clearer?
    A: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”
    B: “Rhymes.”
    (a) Prompt A (b) Prompt B
  14. 14.Which of these is the input? (a) your typed question (b) the patterns it learned (c) the part that decides (d) the typed reply
  15. 15.🪜 What does this prompt ask for? “Show your working for 15% of 240.” (a) asks for steps (b) asks only for the answer
  16. 16.🔎 Checking an AI answer: which do you do first — correct the mistakes or match every number? (a) correct the mistakes (b) match every number
  17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) fix wrong labels
  18. 18.True or false: “asks you to check facts” is a red flag — stop and tell an adult. (a) False (b) True
  19. 19.🔎 Checking an AI answer: which do you do first — read the AI answer or correct the mistakes? (a) read the AI answer (b) correct the mistakes
  20. 20.True or false: the request “quiz me on Chapter 3” does the work for you. (a) False (b) True
  21. 21.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  22. 22.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) copy them blindly (c) check each step (d) ignore them
  23. 23.Which of these uses AI? (a) a calculator (b) a stopwatch (c) a printed timetable (d) photos grouped by face
  24. 24.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks for steps (b) asks only for the answer
  25. 25.True or false: “matches key words” describes a rule-based chatbot. (a) False (b) True
  26. 26.📲 Input, model or output: “the part that decides”? (a) the input (b) the model (c) the output
  27. 27.True or false: “add varied examples” adds to bias. (a) True (b) False
  28. 28.Which of these is good for training a model? (a) wrong labels (b) new data for testing (c) very few examples (d) copies of one photo
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) add lots of emojis (b) name the exact topic (c) add exclamation marks (d) type it twice
  31. 31.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
  32. 32.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
  33. 33.🚩 A study chatbot asks your class level. Is that a red flag? (a) a red flag (b) normal
  34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
  35. 35.True or false: reading your school’s rules on AI means you should ask a parent or teacher first. (a) False (b) True
  36. 36.True or false: “a poet’s famous poem” is my own work. (a) True (b) False
  37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  38. 38.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) examples of every type (d) clear, sharp examples
  39. 39.©️ Whose work is it: my own diary? (a) someone else’s work (b) my own work
  40. 40.True or false: “Style like: Roses are red…” is the role part of a prompt. (a) True (b) False

Answer key

  1. a friend’s secret
  2. False
  3. role
  4. a warning sign
  5. no, it follows rules
  6. vague
  7. False
  8. the trained AI part
  9. makes something new
  10. too good to be true
  11. recognising
  12. composing a new tune
  13. Prompt A
  14. your typed question
  15. asks for steps
  16. match every number
  17. fix wrong labels
  18. False
  19. read the AI answer
  20. False
  21. a normal program
  22. check each step
  23. photos grouped by face
  24. asks for steps
  25. True
  26. the model
  27. False
  28. new data for testing
  29. balanced data
  30. name the exact topic
  31. gather many examples
  32. a prompt
  33. normal
  34. bias from data
  35. False
  36. False
  37. reduces bias
  38. testing on training data
  39. my own work
  40. False

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