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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 330 · 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 is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting a sick leaf (c) creating a cartoon (d) writing quiz questions
  2. 2.💬 Does this request help you learn, or do the work for you? “explain this step” (a) helps you learn (b) does it for you
  3. 3.True or false: “naming a new leaf” is training data. (a) False (b) True
  4. 4.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) a good source (b) not a good source
  5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  6. 6.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  7. 7.©️ Who owns the copyright of a song? (a) the radio (b) nobody at all (c) anyone who hears it (d) the person who made it
  8. 8.True or false: asking for a simpler explanation of a chapter is NOT honest use. (a) True (b) False
  9. 9.🧩 Which part of a prompt is this? “You are a science quiz master.” (a) format (b) context (c) task (d) role
  10. 10.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
  11. 11.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 38 right and Model B got 36 right. How many percentage points more accurate is Model A?
  12. 12.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  13. 13.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  14. 14.🔒 Keep it private or okay to share with an AI chatbot: your name and school? (a) okay to share (b) keep it private
  15. 15.🚩 A study chatbot asks your class level. Is that a red flag? (a) normal (b) a red flag
  16. 16.True or false: “fixed replies only” describes a rule-based chatbot. (a) False (b) True
  17. 17.✍️ Clear or vague: “Make a checklist of 8 things to pack for a school trip to the hills.”? (a) vague (b) clear
  18. 18.📝 Your school says no AI for this essay. What should you do? (a) use it secretly (b) skip the essay (c) follow the rule (d) copy a friend
  19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  20. 20.🛠️ The AI answer was too hard to read. What should you add? (a) more emojis (b) nothing at all (c) capital letters (d) your class level
  21. 21.🔁 Learning a hard sum with AI: which should you do first — ask how to start or try a similar sum alone? (a) ask how to start (b) try a similar sum alone
  22. 22.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
  23. 23.❌ Tara’s spam spotter was tested on 16 new messages and got 11 right. How many did it get wrong?
  24. 24.True or false: “give an example” does not make a prompt better. (a) False (b) True
  25. 25.🔒 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
  26. 26.⏩ When you use an AI app, which happens first: you type a question or the reply appears? (a) you type a question (b) the reply appears
  27. 27.True or false: “You are a science quiz master.” is the role part of a prompt. (a) True (b) False
  28. 28.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  29. 29.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) wrong labels (d) only one kind of example
  30. 30.⏩ When you use an AI app, which happens first: the model finds patterns or the label “cat” shows? (a) the model finds patterns (b) the label “cat” shows
  31. 31.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a picture (c) a password (d) a length limit
  32. 32.📖 Is this a good source to check an AI answer against: a funny meme? (a) not a good source (b) a good source
  33. 33.🔎 Checking an AI answer: which do you do first — correct the mistakes or compare the facts? (a) correct the mistakes (b) compare the facts
  34. 34.True or false: “Sum up this chapter in 5 bullet points.” is asking for a summary. (a) False (b) True
  35. 35.🔁 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
  36. 36.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  38. 38.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) improves with more data (d) uses rules people wrote
  39. 39.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) correct labels (d) wrong labels
  40. 40.True or false: “Give me 5 multiple-choice questions on Chapter 4.” is asking for a summary. (a) True (b) False

Answer key

  1. spotting a sick leaf
  2. helps you learn
  3. False
  4. a good source
  5. a prediction
  6. True
  7. the person who made it
  8. False
  9. role
  10. it learns from examples
  11. 4
  12. 144
  13. False
  14. keep it private
  15. normal
  16. True
  17. clear
  18. follow the rule
  19. good for training
  20. your class level
  21. ask how to start
  22. False
  23. 5
  24. False
  25. no, never
  26. you type a question
  27. True
  28. a myth
  29. photos in many lights
  30. the model finds patterns
  31. a length limit
  32. not a good source
  33. compare the facts
  34. True
  35. ask for the steps
  36. False
  37. spam
  38. improves with more data
  39. correct labels
  40. False

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