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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 431 · 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: “Fix it.” is a vague prompt. (a) False (b) True
  2. 2.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or try a similar sum alone? (a) try the sum yourself (b) try a similar sum alone
  3. 3.True or false: “easy to trace why” describes a rule-based chatbot. (a) False (b) True
  4. 4.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  5. 5.🗂️ What is the best way to use an AI practice quiz? (a) answer before checking (b) read the answers first (c) skip hard ones (d) copy the answers
  6. 6.🔁 Learning a hard sum with AI: which should you do first — ask for the steps or do one more on your own? (a) ask for the steps (b) do one more on your own
  7. 7.📚 Smart or poor way to study with AI: short study sessions? (a) smart study (b) poor study
  8. 8.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  9. 9.©️ Does this need credit: a photo from a website in your slides? (a) needs credit (b) your own work
  10. 10.✍️ Which prompt is clearer?
    A: “Tell me about laws.”
    B: “Describe how a bill becomes a law in India in 5 simple steps.”
    (a) Prompt A (b) Prompt B
  11. 11.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  12. 12.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  13. 13.Which of these is a smart way to study with AI? (a) reading answers only (b) last-night cramming (c) mix AI and real practice (d) skipping the textbook
  14. 14.📏 What kind of constraint is “in a formal tone”? (a) what to include (b) a style or tone (c) a reading level (d) a length limit
  15. 15.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  17. 17.🔍 Which is the odd one out? (a) gives an example (b) says not to tell parents (c) asks to keep a secret (d) asks for photos of you
  18. 18.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  19. 19.⏩ When you use an AI app, which happens first: the model finds patterns or you hum a tune? (a) the model finds patterns (b) you hum a tune
  20. 20.🔎 Checking an AI answer: which do you do first — compare the facts or underline each fact? (a) compare the facts (b) underline each fact
  21. 21.🔍 Which is the odd one out? (a) asks for photos of you (b) admits it is unsure (c) asks for your address (d) urges you to click links
  22. 22.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) labels added at random (d) many varied examples
  23. 23.📏 What kind of constraint is “in 2 lines only”? (a) a reading level (b) what to include (c) a style or tone (d) a length limit
  24. 24.🔍 Which is the odd one out? (a) creating a cartoon (b) composing a new tune (c) drafting a letter (d) reading number plates
  25. 25.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
  26. 26.Which of these describes how a normal program works? (a) follows fixed rules (b) handles unseen examples (c) gives a likely answer (d) improves with more data
  27. 27.📚 Smart or poor way to study with AI: never checking mistakes? (a) smart study (b) poor study
  28. 28.Which of these is a good source to check against? (a) an anonymous post (b) the same chatbot again (c) a random comment (d) your school textbook
  29. 29.Which of these requests does the work for you? (a) “define ‘orbit’ for me” (b) “give me a hint” (c) “answer all 10 sums” (d) “quiz me on Chapter 3”
  30. 30.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  31. 31.True or false: “It is for a school assembly.” is the context part of a prompt. (a) False (b) True
  32. 32.Which of these is a myth about AI? (a) long answers are true (b) AI learns from data (c) AI can make up facts (d) AI can mix up numbers
  33. 33.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  34. 34.✍️ Which prompt is clearer?
    A: “Suggest 4 names for our eco club, each under 3 words.”
    B: “Names please.”
    (a) Prompt A (b) Prompt B
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  36. 36.Which of these is the model? (a) a tune you hum (b) the typed reply (c) the predicted word (d) the part that decides
  37. 37.True or false: “Make cards with a term on one side, its meaning on the other.” is asking for flashcards. (a) True (b) False
  38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  39. 39.©️ Whose work is it: a cartoon from a comic? (a) someone else’s work (b) my own work
  40. 40.🎂 Ask an adult first, or fine to do yourself: turning off a chatbot that feels wrong? (a) fine to do yourself (b) ask an adult first

Answer key

  1. True
  2. try the sum yourself
  3. True
  4. uses AI
  5. answer before checking
  6. ask for the steps
  7. smart study
  8. label each example
  9. needs credit
  10. Prompt B
  11. a simple rule is enough
  12. makes something new
  13. mix AI and real practice
  14. a style or tone
  15. needs AI (learning)
  16. a myth
  17. gives an example
  18. no
  19. you hum a tune
  20. underline each fact
  21. admits it is unsure
  22. labels added at random
  23. a length limit
  24. reading number plates
  25. paper and examples
  26. follows fixed rules
  27. poor study
  28. your school textbook
  29. “answer all 10 sums”
  30. good for training
  31. True
  32. long answers are true
  33. False
  34. Prompt A
  35. training data
  36. the part that decides
  37. True
  38. False
  39. someone else’s work
  40. fine to do yourself

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