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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 621 · 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 makes a weak prompt better? (a) leave out the topic (b) name the exact topic (c) add lots of emojis (d) add unrelated details
  2. 2.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) very few examples (d) photos in many lights
  3. 3.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) confident means correct (d) AI answers need checking
  4. 4.True or false: “learns from examples” describes a rule-based chatbot. (a) True (b) False
  5. 5.🧮 An AI chatbot adds 56 + 15 + 31 and gets 101. What is the correct total?
  6. 6.🔍 Which is the odd one out? (a) say the format you want (b) add your class level (c) say what it is for (d) write it in capitals
  7. 7.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  8. 8.✍️ Which prompt is clearer?
    A: “Write a polite 3-line message asking my teacher for extra practice sheets.”
    B: “Write a message.”
    (a) Prompt A (b) Prompt B
  9. 9.Which of these describes how a normal program works? (a) learns from examples (b) same steps every time (c) improves with more data (d) makes a best guess
  10. 10.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a password (b) context (c) more capitals (d) a random emoji
  11. 11.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  12. 12.Which of these sets the reading level? (a) for a Class 3 student (b) with one example (c) like a news report (d) add a fun fact
  13. 13.🛠️ Does this make a weak prompt better: type it twice? (a) a good fix (b) not a fix
  14. 14.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) a map predicting traffic (b) a light switch (c) an app translating signs (d) video suggestions
  16. 16.Which of these sets a length limit? (a) with one example (b) in one short paragraph (c) in a funny way (d) add a fun fact
  17. 17.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  18. 18.True or false: a chart from a news report in your talk needs credit (say where it came from). (a) False (b) True
  19. 19.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  20. 20.Which of these is a good source to check against? (a) a rumour from a friend (b) an anonymous post (c) a random comment (d) a library book
  21. 21.🖼️ Warning sign or good sign: six fingers on a hand? (a) a good sign (b) a warning sign
  22. 22.True or false: “in 3 sentences or fewer” sets a length limit. (a) False (b) True
  23. 23.🔎 Checking an AI answer: which do you do first — find the same topic or fix your notes? (a) find the same topic (b) fix your notes
  24. 24.True or false: “with one example” says what to include. (a) True (b) False
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
  26. 26.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  27. 27.True or false: “Translate.” is a clear prompt. (a) False (b) True
  28. 28.📝 Your school says no AI for this essay. What should you do? (a) copy a friend (b) use it secretly (c) follow the rule (d) skip the essay
  29. 29.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  31. 31.Which of these is a myth about AI? (a) AI knows everything (b) AI learns from data (c) AI can mix up numbers (d) AI can make up facts
  32. 32.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add more of the same (d) add varied examples
  33. 33.🛠️ Does this make a weak prompt better: ask for steps? (a) not a fix (b) a good fix
  34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
  36. 36.Which of these is a poor way to study with AI? (a) redo wrong questions (b) make your own cards too (c) trusting every summary (d) check summaries in books
  37. 37.Which of these is not AI? (a) photos grouped by face (b) a spam filter (c) an app translating signs (d) a printed timetable
  38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  39. 39.🔍 Which is the odd one out? (a) reading number plates (b) suggesting a video (c) spotting spam (d) inventing a recipe
  40. 40.🛠️ Which is the improved prompt?
    A: “Write a poem.”
    B: “Write a 6-line funny poem about a cat who loves mangoes.”
    (a) Prompt A (b) Prompt B

Answer key

  1. name the exact topic
  2. photos in many lights
  3. AI answers need checking
  4. False
  5. 102
  6. write it in capitals
  7. uses AI
  8. Prompt A
  9. same steps every time
  10. context
  11. True
  12. for a Class 3 student
  13. not a fix
  14. True
  15. a light switch
  16. in one short paragraph
  17. what training builds
  18. True
  19. True
  20. a library book
  21. a warning sign
  22. True
  23. find the same topic
  24. True
  25. label each example
  26. True
  27. False
  28. follow the rule
  29. False
  30. few child voices in data
  31. AI knows everything
  32. add more of the same
  33. a good fix
  34. the model
  35. it may get it wrong
  36. trusting every summary
  37. a printed timetable
  38. training data
  39. inventing a recipe
  40. Prompt B

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