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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 709 · 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.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
  2. 2.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) correct labels (d) labels added at random
  3. 3.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  4. 4.🔎 Before sharing a surprising post, which comes first — notice your feelings or report it if fake? (a) notice your feelings (b) report it if fake
  5. 5.📚 Smart or poor way to study with AI: asking only for answers? (a) smart study (b) poor study
  6. 6.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) singing (d) sleeping
  7. 7.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  8. 8.©️ Does this need credit: a picture made with an image generator in your project? (a) your own work (b) needs credit
  9. 9.True or false: “You are a science quiz master.” is the task part of a prompt. (a) False (b) True
  10. 10.Which of these is a good sign (but still check)? (a) no date or author (b) fits other reports (c) “share before it’s gone” (d) a shocking headline
  11. 11.True or false: “a photo from a website” is my own work. (a) True (b) False
  12. 12.True or false: “Explain why ice floats, in simple words.” is asking for an explanation. (a) True (b) False
  13. 13.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  14. 14.🔁 Learning a hard sum with AI: which should you do first — try a similar sum alone or ask how to start? (a) try a similar sum alone (b) ask how to start
  15. 15.Which of these is someone else’s work (credit it)? (a) my own diary (b) a song on the radio (c) a clay model I built (d) a story I made up
  16. 16.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for the steps? (a) solve a new one alone (b) ask for the steps
  17. 17.True or false: a survey you ran in class is your own work (no credit needed). (a) True (b) False
  18. 18.📏 What kind of constraint is “answers at the end”? (a) what to include (b) a style or tone (c) a length limit (d) a reading level
  19. 19.🔍 Which is the odd one out? (a) a background that bends (b) a shocking headline (c) no date or author (d) matches the textbook
  20. 20.Which of these is a red flag — stop and tell an adult? (a) suggests practice (b) asks for money (c) explains a topic (d) says it may be wrong
  21. 21.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  22. 22.True or false: taking a break from the screen means you should ask a parent or teacher first. (a) True (b) False
  23. 23.🧮 An AI chatbot says 13 × 6 = 77. Check it yourself: what is 13 × 6?
  24. 24.📏 What kind of constraint is “in one short paragraph”? (a) a reading level (b) what to include (c) a length limit (d) a style or tone
  25. 25.❌ Meera’s spam spotter was tested on 50 new messages and got 42 right. How many did it get wrong?
  26. 26.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  27. 27.True or false: “add a fun fact” says what to include. (a) True (b) False
  28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) balance the data
  29. 29.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  30. 30.📰 A post says, “Share before it gets deleted!” This is… (a) a source (b) a fact check (c) a warning sign (d) a good sign
  31. 31.🔍 Which is the odd one out? (a) a clay model I built (b) a picture I drew (c) a quote from a book (d) a photo I took
  32. 32.💬 Rule-based or learning chatbot: “handles new wording”? (a) rule-based (b) learning
  33. 33.Which of these should be kept private — never share it with an AI chatbot? (a) a story idea (b) a history question (c) a grammar doubt (d) your password
  34. 34.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) improves with more data (d) same steps every time
  35. 35.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  36. 36.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) predicting (d) recognising
  37. 37.📷 In a plant-spotting app, your leaf photo is the… (a) input (b) model (c) output
  38. 38.📰 Before you share a shocking news post, you should… (a) check trusted sources (b) add more emojis (c) share it fast (d) forward to all
  39. 39.True or false: “my own diary” is someone else’s work (credit it). (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) fix wrong labels (d) use one group only

Answer key

  1. no, it follows rules
  2. correct labels
  3. False
  4. notice your feelings
  5. poor study
  6. predicting
  7. False
  8. needs credit
  9. False
  10. fits other reports
  11. False
  12. True
  13. True
  14. ask how to start
  15. a song on the radio
  16. ask for the steps
  17. True
  18. what to include
  19. matches the textbook
  20. asks for money
  21. sorts or predicts
  22. False
  23. 78
  24. a length limit
  25. 8
  26. True
  27. True
  28. balance the data
  29. bad for training
  30. a warning sign
  31. a quote from a book
  32. learning
  33. your password
  34. same steps every time
  35. a normal program
  36. generating
  37. input
  38. check trusted sources
  39. False
  40. fix wrong labels

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