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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 633 · 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 is the odd one out? (a) a quote from a book (b) my own diary (c) my own survey results (d) a story I made up
  2. 2.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) no, never (c) yes, if it is funny
  3. 3.🎂 Ask an adult first, or fine to do yourself: posting an AI picture you made online? (a) fine to do yourself (b) ask an adult first
  4. 4.©️ You use an AI-made picture in a school project. What should you write? (a) nothing at all (b) your own name only (c) “made with AI” (d) a friend’s name
  5. 5.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  6. 6.True or false: “Make 8 cards on the parts of a flower.” is asking for flashcards. (a) True (b) False
  7. 7.True or false: “Skip the working, what is 7 × 8?” asks only for the final answer. (a) False (b) True
  8. 8.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) naming a new fruit photo
  9. 9.True or false: “examples of every type” is bad for training a model. (a) False (b) True
  10. 10.🗂️ What study help is this prompt asking for? “Give me 5 multiple-choice questions on Chapter 4.” (a) an explanation (b) flashcards (c) a summary (d) a practice quiz
  11. 11.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  12. 12.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  13. 13.True or false: “Sky colour?” is a clear prompt. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  15. 15.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
  16. 16.True or false: an app asking for your location means you should ask a parent or teacher first. (a) True (b) False
  17. 17.True or false: “a map from an atlas” is my own work. (a) False (b) True
  18. 18.🗂️ What study help is this prompt asking for? “Turn these 10 words into question-and-answer cards.” (a) flashcards (b) an explanation (c) a practice quiz (d) a summary
  19. 19.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) wrong labels (d) only one kind of example
  20. 20.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) a practice quiz (b) a summary (c) flashcards (d) an explanation
  21. 21.🖼️ Warning sign or good sign: too good to be true? (a) a warning sign (b) a good sign
  22. 22.📖 An AI chatbot gives a quote and a source. What should you do? (a) delete your notes (b) add more quotes (c) check the source is real (d) copy it straight away
  23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  24. 24.Which of these is the output? (a) the patterns it learned (b) the label “cat” (c) your spoken words (d) your typed question
  25. 25.🗂️ An AI made you a summary. What should you do next? (a) share it as yours (b) learn it blindly (c) check it with the book (d) delete the book
  26. 26.🚩 A study chatbot gives an example. Is that a red flag? (a) normal (b) a red flag
  27. 27.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) gives a likely answer (d) same steps every time
  28. 28.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) correct labels (d) only one kind of example
  29. 29.✍️ Clear or vague: “Why floods?”? (a) clear (b) vague
  30. 30.©️ Does this need credit: a survey you ran in class? (a) needs credit (b) your own work
  31. 31.📝 What is the best way to use AI for a hard maths chapter? (a) avoid the chapter (b) ask it to do all sums (c) ask it to explain (d) copy its answers
  32. 32.True or false: “Write it as a short dialogue.” is the format part of a prompt. (a) False (b) True
  33. 33.🎂 Ask an adult first, or fine to do yourself: logging out after using a study app? (a) fine to do yourself (b) ask an adult first
  34. 34.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  36. 36.⏩ When you use an AI app, which happens first: the label “cat” shows or the model makes a guess? (a) the label “cat” shows (b) the model makes a guess
  37. 37.🔒 Is it safe to type your password into an AI chatbot? (a) yes (b) no, never (c) only short ones
  38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  39. 39.True or false: “Pretend you are a travel guide.” is the role part of a prompt. (a) False (b) True
  40. 40.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy

Answer key

  1. a quote from a book
  2. no, never
  3. ask an adult first
  4. “made with AI”
  5. more varied data
  6. True
  7. True
  8. the learned patterns
  9. False
  10. a practice quiz
  11. False
  12. True
  13. False
  14. the model
  15. False
  16. True
  17. False
  18. flashcards
  19. checking labels twice
  20. an explanation
  21. a warning sign
  22. check the source is real
  23. True
  24. the label “cat”
  25. check it with the book
  26. normal
  27. gives a likely answer
  28. only one kind of example
  29. vague
  30. your own work
  31. ask it to explain
  32. True
  33. fine to do yourself
  34. False
  35. training data
  36. the model makes a guess
  37. no, never
  38. True
  39. True
  40. test on new photos

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