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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 198 · 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.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
  2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drafting a letter (c) predicting rain (d) drawing a new picture
  3. 3.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  4. 4.🛠️ Which is the improved prompt?
    A: “New words.”
    B: “Give me 6 new English words with meanings and one sentence each, for Class 6.”
    (a) Prompt A (b) Prompt B
  5. 5.True or false: an app asking for your location is fine to do by yourself. (a) True (b) False
  6. 6.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  8. 8.True or false: “You are a science quiz master.” is the role part of a prompt. (a) True (b) False
  9. 9.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  10. 10.🔍 Which is the odd one out? (a) inventing a recipe (b) writing quiz questions (c) composing a new tune (d) predicting rain
  11. 11.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
  12. 12.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
  13. 13.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
  14. 14.🖼️ Warning sign or good sign: a clear date? (a) a good sign (b) a warning sign
  15. 15.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  16. 16.🔎 Before sharing a surprising post, which comes first — check the author or share only if true? (a) check the author (b) share only if true
  17. 17.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
  18. 18.True or false: “in under 50 words” sets a length limit. (a) True (b) False
  19. 19.🖼️ Which sign can show a picture was AI-made? (a) a named photographer (b) a calm sky (c) a clear caption (d) six fingers on a hand
  20. 20.📖 An AI chatbot gives a quote and a source. What should you do? (a) add more quotes (b) copy it straight away (c) delete your notes (d) check the source is real
  21. 21.📖 Is this a good source to check an AI answer against: a science museum site? (a) not a good source (b) a good source
  22. 22.Which of these requests does the work for you? (a) “quiz me on Chapter 3” (b) “check my draft” (c) “answer all 10 sums” (d) “where did I go wrong?”
  23. 23.🧩 Which part of a prompt is this? “It is for a school assembly.” (a) format (b) role (c) example (d) context
  24. 24.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  25. 25.🔁 Learning a hard sum with AI: which should you do first — try a similar sum alone or attempt it on paper? (a) try a similar sum alone (b) attempt it on paper
  26. 26.Which of these is bad for training a model? (a) testing on training data (b) clear, sharp examples (c) checking labels twice (d) new data for testing
  27. 27.📷 In a plant-spotting app, your leaf photo is the… (a) output (b) input (c) model
  28. 28.True or false: the request “check my draft” does the work for you. (a) True (b) False
  29. 29.🪜 Why ask an AI chatbot to show the steps? (a) to learn the method (b) to make it slower (c) to get a longer answer (d) to copy faster
  30. 30.Which of these is not AI? (a) voice typing (b) photos grouped by face (c) a torch (d) an app translating signs
  31. 31.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI can mix up numbers (d) AI has real feelings
  32. 32.📝 You used AI to get ideas for a project. What is honest? (a) say it is all yours (b) hide it (c) say how you used it (d) blame the AI
  33. 33.📲 Input, model or output: “the predicted word”? (a) the model (b) the output (c) the input
  34. 34.🚩 A study chatbot asks for money. Is that a red flag? (a) a red flag (b) normal
  35. 35.🛠️ Which is the improved prompt?
    A: “Give 4 tips to speak confidently in assembly, in simple words.”
    B: “Speaking tips.”
    (a) Prompt A (b) Prompt B
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  37. 37.🔒 Keep it private or okay to share with an AI chatbot: a story idea? (a) keep it private (b) okay to share
  38. 38.📝 Honest use or copying: asking for a simpler explanation of a chapter? (a) not honest (b) honest use
  39. 39.©️ You use an AI-made picture in a school project. What should you write? (a) your own name only (b) nothing at all (c) “made with AI” (d) a friend’s name
  40. 40.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) generative (b) learning (c) rule-based

Answer key

  1. True
  2. predicting rain
  3. False
  4. Prompt B
  5. False
  6. rule-based
  7. few child voices in data
  8. True
  9. a normal program
  10. predicting rain
  11. it learns from examples
  12. no, it can be wrong
  13. True
  14. a good sign
  15. not AI
  16. check the author
  17. False
  18. True
  19. six fingers on a hand
  20. check the source is real
  21. a good source
  22. “answer all 10 sums”
  23. context
  24. the trained program
  25. attempt it on paper
  26. testing on training data
  27. input
  28. False
  29. to learn the method
  30. a torch
  31. AI can mix up numbers
  32. say how you used it
  33. the output
  34. a red flag
  35. Prompt A
  36. old emails marked spam
  37. okay to share
  38. honest use
  39. “made with AI”
  40. rule-based

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