← Final test: AI for students lesson New set →

AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 195 · 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.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  2. 2.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  3. 3.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
  5. 5.🛠️ If the first answer is not right, you can… (a) give up (b) refine the prompt (c) type in capitals (d) shout at it
  6. 6.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  7. 7.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  8. 8.True or false: “builds its own replies” describes a rule-based chatbot. (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  10. 10.💬 Rule-based or learning chatbot: “guesses likely replies”? (a) rule-based (b) learning
  11. 11.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) yes, it is smart (d) only at night
  12. 12.Which of these is a smart way to study with AI? (a) skipping the textbook (b) last-night cramming (c) redo wrong questions (d) never checking mistakes
  13. 13.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI copies data patterns (d) AI knows everything
  14. 14.🔎 How can you check where a photo first came from? (a) share it more (b) a reverse image search (c) print it out (d) zoom in on it
  15. 15.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  16. 16.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
  17. 17.🧩 “Act as a patient science teacher.” This sets the… (a) format (b) example (c) word limit (d) role
  18. 18.True or false: the request “quiz me on Chapter 3” does the work for you. (a) False (b) True
  19. 19.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  21. 21.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  22. 22.Which of these is a myth about AI? (a) AI can make up facts (b) long answers are true (c) AI answers need checking (d) AI can be wrong
  23. 23.🔍 Which is the odd one out? (a) “finish my homework” (b) “explain it more simply” (c) “solve my test paper” (d) “do my worksheet”
  24. 24.🔍 Which is the odd one out? (a) a microwave timer (b) a kitchen weighing scale (c) an AI chatbot (d) a calculator
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  26. 26.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) testing on training data (d) clear, sharp examples
  27. 27.Which of these is bad for training a model? (a) testing on training data (b) many varied examples (c) correct labels (d) photos in many lights
  28. 28.Which of these does not make a prompt better? (a) say what it is for (b) ask for steps (c) type it twice (d) split into small asks
  29. 29.Which of these is a poor way to study with AI? (a) ask why, not just what (b) fix any wrong flashcard (c) asking it to do homework (d) answer before peeking
  30. 30.Which of these is the output? (a) a drawing you make (b) the patterns it learned (c) your spoken words (d) the label “cat”
  31. 31.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a password (b) more capitals (c) a random emoji (d) context
  32. 32.💬 Does this request help you learn, or do the work for you? “solve my test paper” (a) does it for you (b) helps you learn
  33. 33.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) predicting (c) recommending (d) recognising
  34. 34.🔍 Which is the odd one out? (a) a maths sum to explain (b) your name and school (c) a grammar doubt (d) a word you don’t know
  35. 35.🛠️ Does this make a weak prompt better: add exclamation marks? (a) a good fix (b) not a fix
  36. 36.True or false: “a cartoon from a comic” is someone else’s work (credit it). (a) False (b) True
  37. 37.True or false: “Make a 10-question test on decimals, answers at the end.” is asking for flashcards. (a) True (b) False
  38. 38.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) spots patterns in data (d) one set rule per case
  39. 39.🔎 Checking an AI answer: which do you do first — open your textbook or underline each fact? (a) open your textbook (b) underline each fact
  40. 40.🚩 A study chatbot asks your class level. Is that a red flag? (a) normal (b) a red flag

Answer key

  1. False
  2. True
  3. recorded spoken words
  4. recommending
  5. refine the prompt
  6. makes something new
  7. tag each photo by type
  8. False
  9. balanced data
  10. learning
  11. no, it follows rules
  12. redo wrong questions
  13. AI knows everything
  14. a reverse image search
  15. AI
  16. False
  17. role
  18. False
  19. a fact
  20. bias from data
  21. uses AI
  22. long answers are true
  23. “explain it more simply”
  24. an AI chatbot
  25. not spam
  26. testing on training data
  27. testing on training data
  28. type it twice
  29. asking it to do homework
  30. the label “cat”
  31. context
  32. does it for you
  33. generating
  34. your name and school
  35. not a fix
  36. True
  37. False
  38. one set rule per case
  39. underline each fact
  40. normal

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students