AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 273 · 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.True or false: “Summarise this paragraph about volcanoes in 3 bullet points for revision.” is a vague prompt. (a) True (b) False
2. 2.🗂️ What study help is this prompt asking for? “Give me 5 multiple-choice questions on Chapter 4.” (a) flashcards (b) a summary (c) an explanation (d) a practice quiz
3. 3.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
5. 5.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
6. 6.📝 Honest use or copying: getting ideas, then writing in your own words? (a) not honest (b) honest use
7. 7.Which of these is normal for a study chatbot? (a) urges you to click links (b) says not to tell parents (c) asks your class level (d) asks for photos of you
8. 8.🔎 Before sharing a surprising post, which comes first — pause before sharing or share only if true? (a) pause before sharing (b) share only if true
9. 9.True or false: “the trained program” is a prediction. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) “explain it more simply” (b) “quiz me on Chapter 3” (c) “explain this step” (d) “solve my test paper”
11. 11.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) testing on training data (d) correct labels
12. 12.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
13. 13.©️ Does this need credit: a chart from a news report in your talk? (a) needs credit (b) your own work
14. 14.True or false: “a story idea” should be kept private — never share it with an AI chatbot. (a) False (b) True
15. 15.🔎 Checking an AI answer: which do you do first — fix your notes or open your textbook? (a) fix your notes (b) open your textbook
16. 16.Which of these requests helps you learn? (a) “write my diary entry” (b) “solve my test paper” (c) “make practice sums” (d) “finish my homework”
17. 17.🎂 A friend says, “Just tick that you are older.” What should you do? (a) be honest (b) tick it (c) share a password (d) use a fake name
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
19. 19.🔒 Is it safe to type your password into an AI chatbot? (a) yes (b) only short ones (c) no, never
20. 20.✍️ Clear or vague: “Make it short.”? (a) clear (b) vague
21. 21.🧮 An AI chatbot says 26 × 4 = 94. Check it yourself: what is 26 × 4?
22. 22.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) recommending (d) generating
23. 23.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) the font size (d) a sticker on a laptop
24. 24.📷 The app replies “neem leaf”. That reply is the… (a) output (b) training data (c) input
25. 25.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
26. 26.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
27. 27.💬 Rule-based or learning chatbot: “easy to trace why”? (a) rule-based (b) learning
28. 28.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a calculator (c) an app translating signs (d) a printed timetable
29. 29.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
30. 30.Which of these is a poor way to study with AI? (a) check summaries in books (b) answer before peeking (c) trusting every summary (d) mix AI and real practice
31. 31.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
32. 32.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
33. 33.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
34. 34.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) labels added at random (d) photos in many lights
35. 35.True or false: “Tell me about laws.” is a vague prompt. (a) True (b) False
36. 36.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
37. 37.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
38. 38.🔎 Checking an AI answer: which do you do first — open your textbook or correct the mistakes? (a) open your textbook (b) correct the mistakes
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
40. 40.True or false: letting it write your diary assignment is an honest way to use AI for homework. (a) True (b) False

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