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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 919 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  2. 2.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  3. 3.True or false: “matches key words” describes a rule-based chatbot. (a) True (b) False
  4. 4.📏 Why add a constraint to a prompt? (a) to make AI angry (b) to hide the task (c) to get what you need (d) to waste time
  5. 5.True or false: “your home address” is okay to share with an AI chatbot. (a) True (b) False
  6. 6.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  7. 7.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
  8. 8.Which of these requests does the work for you? (a) “where did I go wrong?” (b) “define ‘orbit’ for me” (c) “make practice sums” (d) “do my worksheet”
  9. 9.🎂 Ask an adult first, or fine to do yourself: an app asking to use your camera? (a) ask an adult first (b) fine to do yourself
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
  11. 11.🔍 Which is the odd one out? (a) mismatched earrings (b) shadows going two ways (c) no date or author (d) matches the textbook
  12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  13. 13.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  14. 14.📲 Input, model or output: “a drawing you make”? (a) the input (b) the model (c) the output
  15. 15.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  16. 16.🔍 Which is the odd one out? (a) a friend’s secret (b) a word you don’t know (c) your school ID number (d) your phone number
  17. 17.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  18. 18.🔎 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
  19. 19.Which of these is not AI? (a) a printed timetable (b) a spam filter (c) voice typing (d) face unlock on a phone
  20. 20.🔍 Which is the odd one out? (a) your spelling list (b) a science question (c) a topic for a quiz (d) a one-time password
  21. 21.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  22. 22.🧩 Which part of a prompt is this? “Pretend you are a travel guide.” (a) context (b) role (c) example (d) task
  23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) cooking (d) charging
  24. 24.⏩ When you use an AI app, which happens first: the reply appears or the model makes a guess? (a) the reply appears (b) the model makes a guess
  25. 25.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.🛠️ If the first answer is not right, you can… (a) refine the prompt (b) type in capitals (c) give up (d) shout at it
  27. 27.🔒 An AI chatbot asks for your home address. What should you do? (a) share half of it (b) say no, tell an adult (c) share it quickly (d) give a friend’s
  28. 28.🔎 Checking an AI answer: which do you do first — find the same topic or underline each fact? (a) find the same topic (b) underline each fact
  29. 29.📝 You used AI to get ideas for a project. What is honest? (a) say how you used it (b) blame the AI (c) say it is all yours (d) hide it
  30. 30.📝 Ishaan’s prompt must stay within 150 words. Ishaan has written 35 words so far. How many more words can be added?
  31. 31.Which of these describes how a normal program works? (a) handles unseen examples (b) never learns from data (c) learns from examples (d) gives a likely answer
  32. 32.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) wrong labels (d) checking labels twice
  33. 33.True or false: “a story about a brave ant” asks for music or sound. (a) False (b) True
  34. 34.True or false: “correct labels” is bad for training a model. (a) True (b) False
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  36. 36.🪜 An AI shows steps for a sum. What should you do with them? (a) copy them blindly (b) check each step (c) ignore them (d) delete them
  37. 37.True or false: “in a friendly tone” sets the style or tone. (a) True (b) False
  38. 38.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
  39. 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  40. 40.🔒 Keep it private or okay to share with an AI chatbot: your phone number? (a) keep it private (b) okay to share

Answer key

  1. training data
  2. what training builds
  3. True
  4. to get what you need
  5. False
  6. False
  7. more varied data
  8. “do my worksheet”
  9. ask an adult first
  10. to see if it learned
  11. matches the textbook
  12. a prediction
  13. False
  14. the input
  15. not AI
  16. a word you don’t know
  17. bad for training
  18. check the author
  19. a printed timetable
  20. a one-time password
  21. True
  22. role
  23. recommending
  24. the model makes a guess
  25. needs AI (learning)
  26. refine the prompt
  27. say no, tell an adult
  28. underline each fact
  29. say how you used it
  30. 115
  31. never learns from data
  32. wrong labels
  33. False
  34. False
  35. try unseen examples
  36. check each step
  37. True
  38. False
  39. True
  40. keep it private

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