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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 109 · 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.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  2. 2.🔎 Checking an AI answer: which do you do first — compare the facts or fix your notes? (a) compare the facts (b) fix your notes
  3. 3.🔍 Which is the odd one out? (a) use unclear slang (b) add exclamation marks (c) add lots of emojis (d) name the exact topic
  4. 4.📏 Arjun wants a 70-word answer split into 2 equal points. How many words should each point have?
  5. 5.💬 Does this request help you learn, or do the work for you? “solve my test paper” (a) helps you learn (b) does it for you
  6. 6.🔎 Checking an AI answer: which do you do first — compare the facts or correct the mistakes? (a) compare the facts (b) correct the mistakes
  7. 7.True or false: “Write a message.” is a clear prompt. (a) True (b) False
  8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  9. 9.Which of these is a fact about AI? (a) confident means correct (b) AI can be wrong (c) long answers are true (d) AI is never wrong
  10. 10.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI copies data patterns (d) AI always checks facts
  11. 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
  12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) reading number plates (d) drawing a new picture
  13. 13.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) recommending (d) predicting
  14. 14.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  15. 15.📖 Is this a good source to check an AI answer against: a library book? (a) not a good source (b) a good source
  16. 16.Which of these is bad for training a model? (a) examples of every type (b) blurry, unclear photos (c) new data for testing (d) correct labels
  17. 17.🎂 Where can you find an app’s age rule? (a) in the weather report (b) nowhere (c) its terms or rules page (d) on its logo
  18. 18.Which of these is stage 1 (try it yourself)? (a) have a go on your own (b) try a similar sum alone (c) ask for the steps (d) solve a new one alone
  19. 19.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  21. 21.Which of these is someone else’s work (credit it)? (a) a tune I made up (b) a picture I drew (c) a song on the radio (d) a photo I took
  22. 22.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  23. 23.🔒 What happens to what you type into many AI apps? (a) it turns into music (b) it becomes secret (c) it vanishes forever (d) it may be stored
  24. 24.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
  25. 25.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
  26. 26.🏷️ 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
  27. 27.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
  28. 28.True or false: “in a funny way” sets the reading level. (a) False (b) True
  29. 29.✍️ Clear or vague: “Make a checklist of 8 things to pack for a school trip to the hills.”? (a) clear (b) vague
  30. 30.True or false: “copies of one photo” is good for training a model. (a) False (b) True
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  32. 32.🔎 Checking an AI answer: which do you do first — fix your notes or compare the facts? (a) fix your notes (b) compare the facts
  33. 33.🔁 What is the right order in a simple AI app? (a) input → model → output (b) model → output → input (c) output → input → model
  34. 34.📚 Smart or poor way to study with AI: fix any wrong flashcard? (a) smart study (b) poor study
  35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  36. 36.🏷️ 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
  37. 37.Which of these says what to include? (a) in a formal tone (b) for a Class 3 student (c) in under 50 words (d) include 2 Indian rivers
  38. 38.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
  39. 39.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) examples of every type (d) copies of one photo
  40. 40.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) False (b) True

Answer key

  1. data, model, prediction
  2. compare the facts
  3. name the exact topic
  4. 35
  5. does it for you
  6. compare the facts
  7. False
  8. to see if it works
  9. AI can be wrong
  10. AI always checks facts
  11. many labelled photos
  12. reading number plates
  13. predicting
  14. False
  15. a good source
  16. blurry, unclear photos
  17. its terms or rules page
  18. have a go on your own
  19. no, it can be wrong
  20. a prediction
  21. a song on the radio
  22. True
  23. it may be stored
  24. False
  25. True
  26. not spam
  27. the learned patterns
  28. False
  29. clear
  30. False
  31. a prediction
  32. compare the facts
  33. input → model → output
  34. smart study
  35. training data
  36. spam
  37. include 2 Indian rivers
  38. gather many examples
  39. copies of one photo
  40. False

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