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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 450 · 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: the request “explain it more simply” helps you learn. (a) True (b) False
  2. 2.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  3. 3.🛠️ The AI answer was too hard to read. What should you add? (a) your class level (b) capital letters (c) nothing at all (d) more emojis
  4. 4.🎂 Ask an adult first, or fine to do yourself: an app asking for your location? (a) fine to do yourself (b) ask an adult first
  5. 5.🔍 Which is the odd one out? (a) add a word limit (b) add lots of emojis (c) add your class level (d) give an example
  6. 6.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) naming a new fruit photo
  7. 7.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it has a screen (d) it uses electricity
  8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  9. 9.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  10. 10.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) page number (b) reading level (c) battery level (d) font colour
  11. 11.📚 Smart or poor way to study with AI: ask why, not just what? (a) smart study (b) poor study
  12. 12.📏 What kind of constraint is “for a Class 3 student”? (a) a length limit (b) what to include (c) a reading level (d) a style or tone
  13. 13.©️ Can you sell copies of someone else’s comic? (a) yes, any time (b) not without permission (c) yes, if you colour it
  14. 14.🎂 Ask an adult first, or fine to do yourself: reading your school’s rules on AI? (a) ask an adult first (b) fine to do yourself
  15. 15.🖼️ Warning sign or good sign: shadows going two ways? (a) a good sign (b) a warning sign
  16. 16.📚 Smart or poor way to study with AI: mix AI and real practice? (a) smart study (b) poor study
  17. 17.✍️ Which prompt is clearer?
    A: “Quiz.”
    B: “Give 5 quiz questions on the solar system with 4 options each.”
    (a) Prompt A (b) Prompt B
  18. 18.Which of these requests does the work for you? (a) “where did I go wrong?” (b) “answer all 10 sums” (c) “give me a hint” (d) “quiz me on Chapter 3”
  19. 19.🔍 Which is the odd one out? (a) video suggestions (b) a kitchen weighing scale (c) a map predicting traffic (d) face unlock on a phone
  20. 20.Which of these describes how a normal program works? (a) follows fixed rules (b) makes a best guess (c) learns from examples (d) gives a likely answer
  21. 21.Which of these describes how a normal program works? (a) one set rule per case (b) spots patterns in data (c) improves with more data (d) learns from examples
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  23. 23.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
  24. 24.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
  25. 25.True or false: “add varied examples” adds to bias. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  27. 27.True or false: “Explain how rainbows form.” is the role part of a prompt. (a) True (b) False
  28. 28.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) does exactly as coded (d) learns from examples
  29. 29.🔁 Learning a hard sum with AI: which should you do first — try a similar sum alone or try the sum yourself? (a) try a similar sum alone (b) try the sum yourself
  30. 30.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks for steps (b) asks only for the answer
  31. 31.🔒 Keep it private or okay to share with an AI chatbot: a bank card number? (a) okay to share (b) keep it private
  32. 32.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  33. 33.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
  34. 34.📖 Is this a good source to check an AI answer against: a science museum site? (a) not a good source (b) a good source
  35. 35.📲 Input, model or output: “the label “cat””? (a) the output (b) the input (c) the model
  36. 36.True or false: turning off a chatbot that feels wrong is fine to do by yourself. (a) True (b) False
  37. 37.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) improves with more data (d) uses rules people wrote
  38. 38.📖 An AI chatbot gives a quote and a source. What should you do? (a) delete your notes (b) check the source is real (c) copy it straight away (d) add more quotes
  39. 39.🔒 Is it safe to type your password into an AI chatbot? (a) only short ones (b) no, never (c) yes
  40. 40.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True

Answer key

  1. True
  2. test on new photos
  3. your class level
  4. ask an adult first
  5. add lots of emojis
  6. 500 labelled leaf photos
  7. it learns from examples
  8. True
  9. correct bad labels
  10. reading level
  11. smart study
  12. a reading level
  13. not without permission
  14. fine to do yourself
  15. a warning sign
  16. smart study
  17. Prompt B
  18. “answer all 10 sums”
  19. a kitchen weighing scale
  20. follows fixed rules
  21. one set rule per case
  22. spam
  23. correct bad labels
  24. False
  25. False
  26. old emails marked spam
  27. False
  28. learns from examples
  29. try the sum yourself
  30. asks only for the answer
  31. keep it private
  32. False
  33. recommending
  34. a good source
  35. the output
  36. True
  37. improves with more data
  38. check the source is real
  39. no, never
  40. True

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