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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 534 · 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.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
  2. 2.True or false: a diagram from an online encyclopedia is your own work (no credit needed). (a) False (b) True
  3. 3.True or false: “in under 50 words” sets the reading level. (a) True (b) False
  4. 4.Which of these is a good source to check against? (a) an encyclopedia (b) a rumour from a friend (c) a random comment (d) the same chatbot again
  5. 5.🪜 What does this prompt ask for? “Explain one step at a time why 7 × 8 = 56.” (a) asks for steps (b) asks only for the answer
  6. 6.💬 Rule-based or learning chatbot: “easy to trace why”? (a) learning (b) rule-based
  7. 7.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  8. 8.True or false: “new data for testing” is bad for training a model. (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  11. 11.True or false: “your spelling list” is okay to share with an AI chatbot. (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) clear, sharp examples (d) new data for testing
  13. 13.©️ Whose work is it: my own survey results? (a) my own work (b) someone else’s work
  14. 14.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  15. 15.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  16. 16.💬 Does this request help you learn, or do the work for you? “check my draft” (a) does it for you (b) helps you learn
  17. 17.True or false: “a word you don’t know” should be kept private — never share it with an AI chatbot. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) admits it is unsure (b) gives an example (c) says it may be wrong (d) asks to keep a secret
  19. 19.🚩 A study chatbot asks to meet in person. Is that a red flag? (a) normal (b) a red flag
  20. 20.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new fruit photo
  21. 21.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) drawing a new picture (d) making up a story
  22. 22.True or false: “correct labels” is bad for training a model. (a) True (b) False
  23. 23.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) wrong labels (d) new data for testing
  24. 24.🧮 An AI chatbot says 22 × 7 = 155. Check it yourself: what is 22 × 7?
  25. 25.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  26. 26.🔒 Keep it private or okay to share with an AI chatbot: a photo of your friend? (a) keep it private (b) okay to share
  27. 27.True or false: “Sample: Q: 4 × 2? A: 8” is the task part of a prompt. (a) False (b) True
  28. 28.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drawing a new picture (c) spotting spam (d) unlocking with a face
  29. 29.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) does exactly as coded (d) handles unseen examples
  30. 30.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  32. 32.©️ Whose work is it: a photo from a website? (a) my own work (b) someone else’s work
  33. 33.Which of these is stage 1 (try it yourself)? (a) solve a new one alone (b) do one more on your own (c) have a go on your own (d) ask for one hint
  34. 34.🪜 What does this prompt ask for? “Show your working for 15% of 240.” (a) asks for steps (b) asks only for the answer
  35. 35.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) inventing a recipe (c) sorting photos by face (d) unlocking with a face
  36. 36.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
  37. 37.🧩 “Act as a patient science teacher.” This sets the… (a) role (b) format (c) word limit (d) example
  38. 38.True or false: “rain sound effects for a play” asks for an image. (a) True (b) False
  39. 39.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
  40. 40.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

  1. text
  2. False
  3. False
  4. an encyclopedia
  5. asks for steps
  6. rule-based
  7. False
  8. False
  9. balanced data
  10. one-sided data
  11. True
  12. wrong labels
  13. my own work
  14. paper and examples
  15. 75
  16. helps you learn
  17. False
  18. asks to keep a secret
  19. a red flag
  20. naming a new fruit photo
  21. spotting a sick leaf
  22. False
  23. new data for testing
  24. 154
  25. False
  26. keep it private
  27. False
  28. drawing a new picture
  29. handles unseen examples
  30. let it learn patterns
  31. a prediction
  32. someone else’s work
  33. have a go on your own
  34. asks for steps
  35. inventing a recipe
  36. artificial intelligence
  37. role
  38. False
  39. correct bad labels
  40. True

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