AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 645 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
2. 2.Which of these is the output? (a) the part that decides (b) your typed question (c) the label “cat” (d) a tune you hum
3. 3.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks only for the answer (b) asks for steps
4. 4.🔍 Which is the odd one out? (a) add your class level (b) add a word limit (c) split into small asks (d) add exclamation marks
5. 5.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
6. 6.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) a text description (d) your password
7. 7.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) only at night (d) yes, it is smart
8. 8.🛠️ “Write about animals.” What would improve this prompt most? (a) make it shorter (b) add exclamation marks (c) write it in capitals (d) name animal and format
9. 9.True or false: “my own survey results” is someone else’s work (credit it). (a) True (b) False
10. 10.📝 What is the best way to use AI for a hard maths chapter? (a) ask it to explain (b) copy its answers (c) avoid the chapter (d) ask it to do all sums
11. 11.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) use one group only (d) ignore complaints
12. 12.🧩 “Act as a patient science teacher.” This sets the… (a) word limit (b) role (c) format (d) example
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
15. 15.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
16. 16.True or false: “Trip list.” is a clear prompt. (a) False (b) True
17. 17.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the textbook (d) trust the AI
18. 18.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
19. 19.True or false: “a photo from a website” is someone else’s work (credit it). (a) True (b) False
20. 20.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
21. 21.📦 Saanvi collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.True or false: “asks to keep a secret” is normal for a study chatbot. (a) True (b) False
23. 23.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
24. 24.🔎 Checking an AI answer: which do you do first — match every number or open your textbook? (a) match every number (b) open your textbook
25. 25.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) skip testing (d) copy old unfair choices
26. 26.Which of these is a smart way to study with AI? (a) trusting every summary (b) fix any wrong flashcard (c) skipping the textbook (d) asking it to do homework
27. 27.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
28. 28.Which of these is not AI? (a) video suggestions (b) photos grouped by face (c) face unlock on a phone (d) a torch
29. 29.🔍 Which is the odd one out? (a) urges you to click links (b) asks for a password (c) asks for photos of you (d) offers a quiz
30. 30.True or false: “add a word limit” does not make a prompt better. (a) True (b) False
31. 31.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
32. 32.True or false: “naming a new leaf” is a prediction. (a) True (b) False
33. 33.True or false: “learns from examples” describes a rule-based chatbot. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
36. 36.🔍 Which is the odd one out? (a) leave out the topic (b) add exclamation marks (c) add lots of emojis (d) say what it is for
37. 37.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
38. 38.💬 Rule-based or learning chatbot: “gets better with data”? (a) learning (b) rule-based
39. 39.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.Which of these is a poor way to study with AI? (a) make your own cards too (b) ask why, not just what (c) check summaries in books (d) trusting every summary

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