AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 591 · 40 questions

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.

1. 1.📝 Your school says no AI for this essay. What should you do? (a) follow the rule (b) copy a friend (c) skip the essay (d) use it secretly
2. 2.True or false: “type it twice” makes a weak prompt better. (a) True (b) False
3. 3.✔️ An AI chatbot says 14 × 7 = 108. Is that correct or wrong? (a) correct (b) wrong
4. 4.True or false: a camera app naming the flower you point at is AI predicting something. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
7. 7.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI knows everything (c) AI can make up facts (d) AI answers need checking
8. 8.Which of these makes a weak prompt better? (a) type it twice (b) add exclamation marks (c) add your class level (d) write it in capitals
9. 9.Which of these is a smart way to study with AI? (a) never checking mistakes (b) reading answers only (c) answer before peeking (d) copying cards unread
10. 10.True or false: “wrong labels” is good for training a model. (a) False (b) True
11. 11.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recognising (c) generating (d) recommending
12. 12.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
13. 13.🛠️ Does this make a weak prompt better: give an example? (a) a good fix (b) not a fix
14. 14.📦 Rohan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
16. 16.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
17. 17.🖼️ Warning sign or good sign: a clear date? (a) a warning sign (b) a good sign
18. 18.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
20. 20.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) context (b) format (c) role (d) example
21. 21.True or false: “Show your working for 15% of 240.” asks only for the final answer. (a) False (b) True
22. 22.True or false: “a story about a brave ant” asks for text. (a) True (b) False
23. 23.✔️ An AI chatbot says 17 × 4 = 78. Is that correct or wrong? (a) correct (b) wrong
24. 24.🔒 Can you upload a photo of your friend to an AI app? (a) no, never (b) yes, if it is funny (c) yes, any time
25. 25.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) an AI chatbot (d) a stopwatch
26. 26.📲 Input, model or output: “the trained AI part”? (a) the input (b) the model (c) the output
27. 27.True or false: “flagging a new email” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) tomorrow’s rain guess (d) what training builds
29. 29.Which of these is a poor way to study with AI? (a) asking only for answers (b) check summaries in books (c) make your own cards too (d) answer before peeking
30. 30.📖 The AI answer and your textbook disagree. What should you do? (a) pick at random (b) ask your teacher (c) skip the question (d) trust the AI
31. 31.📏 What kind of constraint is “in very simple words”? (a) a style or tone (b) what to include (c) a length limit (d) a reading level
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
33. 33.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) a good source (b) not a good source
34. 34.True or false: “Help me study.” is a clear prompt. (a) False (b) True
35. 35.Which of these sets the style or tone? (a) with one example (b) for a 9-year-old (c) in a friendly tone (d) answers at the end
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
37. 37.Which of these sets the reading level? (a) in 2 lines only (b) no hard science words (c) include 2 Indian rivers (d) add a fun fact
38. 38.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
39. 39.🔍 Which is the odd one out? (a) say what it is for (b) name the exact topic (c) add lots of emojis (d) ask for steps
40. 40.🪜 Which phrase asks for step-by-step help? (a) “no explanation” (b) “explain each step” (c) “just the answer” (d) “skip the working”

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