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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 754 · 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 of these says what to include? (a) with one example (b) no more than 100 words (c) like a news report (d) in a friendly tone
  2. 2.🔍 Which is the odd one out? (a) a map predicting traffic (b) a torch (c) an image generator (d) face unlock on a phone
  3. 3.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) testing on training data (d) clear, sharp examples
  4. 4.🛠️ Does this make a weak prompt better: add your class level? (a) not a fix (b) a good fix
  5. 5.🔍 Which is the odd one out? (a) a shocking headline (b) matches the textbook (c) no trusted source (d) six fingers on a hand
  6. 6.🛠️ If the first answer is not right, you can… (a) shout at it (b) type in capitals (c) refine the prompt (d) give up
  7. 7.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  8. 8.📏 What kind of constraint is “in a formal tone”? (a) what to include (b) a reading level (c) a length limit (d) a style or tone
  9. 9.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) recommending (c) predicting (d) generating
  10. 10.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  11. 11.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  12. 12.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  13. 13.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
  14. 14.🧩 Why add an example to a prompt? (a) to confuse the AI (b) to show the style (c) to hide the task (d) to make it longer
  15. 15.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  16. 16.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI is never wrong (d) AI learns from data
  17. 17.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  18. 18.🪜 What does this prompt ask for? “Walk me through how you found the area.” (a) asks for steps (b) asks only for the answer
  19. 19.🪜 What does this prompt ask for? “Answer only: what is x if 3x + 5 = 20?” (a) asks for steps (b) asks only for the answer
  20. 20.🔍 Which is the odd one out? (a) a story idea (b) a photo of your friend (c) a topic for a quiz (d) a word you don’t know
  21. 21.📲 Input, model or output: “a photo you upload”? (a) the output (b) the input (c) the model
  22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  23. 23.🧩 Which part of a prompt is this? “I have a test on Friday.” (a) context (b) role (c) format (d) task
  24. 24.🔍 Which is the odd one out? (a) an app translating signs (b) a spam filter (c) video suggestions (d) a light switch
  25. 25.Which of these requests helps you learn? (a) “finish my homework” (b) “explain this step” (c) “write my poem for me” (d) “do my worksheet”
  26. 26.📲 Input, model or output: “the label “cat””? (a) the input (b) the output (c) the model
  27. 27.Which of these is a smart way to study with AI? (a) short study sessions (b) trusting every summary (c) copying cards unread (d) asking only for answers
  28. 28.©️ Who owns the copyright of a song? (a) the radio (b) anyone who hears it (c) the person who made it (d) nobody at all
  29. 29.Which of these is a red flag — stop and tell an adult? (a) explains a topic (b) says it may be wrong (c) admits it is unsure (d) asks for a password
  30. 30.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can be wrong (d) AI knows everything
  31. 31.💬 Rule-based or learning chatbot: “learns from examples”? (a) learning (b) rule-based
  32. 32.🔍 Which is the odd one out? (a) a clear date (b) matches the textbook (c) many trusted sources (d) blurry, melted text
  33. 33.🔒 What can you safely ask an AI chatbot? (a) your home address (b) a science doubt (c) a friend’s phone number (d) your bank PIN
  34. 34.💬 Rule-based or learning chatbot: “guesses likely replies”? (a) learning (b) rule-based
  35. 35.Which of these is normal for a study chatbot? (a) asks for photos of you (b) asks for your address (c) says not to tell parents (d) explains a topic
  36. 36.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
  37. 37.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  38. 38.🔒 Keep it private or okay to share with an AI chatbot: a friend’s secret? (a) keep it private (b) okay to share
  39. 39.Which of these is the model? (a) your typed question (b) the trained AI part (c) the typed reply (d) the label “cat”
  40. 40.🪜 An AI shows steps for a sum. What should you do with them? (a) ignore them (b) delete them (c) copy them blindly (d) check each step

Answer key

  1. with one example
  2. a torch
  3. testing on training data
  4. a good fix
  5. matches the textbook
  6. refine the prompt
  7. a real check
  8. a style or tone
  9. generating
  10. makes something new
  11. recheck every label
  12. makes something new
  13. recheck every label
  14. to show the style
  15. AI
  16. AI is never wrong
  17. a fact
  18. asks for steps
  19. asks only for the answer
  20. a photo of your friend
  21. the input
  22. training data
  23. context
  24. a light switch
  25. “explain this step”
  26. the output
  27. short study sessions
  28. the person who made it
  29. asks for a password
  30. AI can be wrong
  31. learning
  32. blurry, melted text
  33. a science doubt
  34. learning
  35. explains a topic
  36. rule-based
  37. False
  38. keep it private
  39. the trained AI part
  40. check each step

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