AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 695 · 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.📦 Kabir collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.🪜 An AI shows steps for a sum. What should you do with them? (a) ignore them (b) check each step (c) copy them blindly (d) delete them
3. 3.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) clear, sharp examples (d) photos in many lights
4. 4.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
5. 5.📏 What kind of constraint is “add a fun fact”? (a) a length limit (b) a style or tone (c) a reading level (d) what to include
6. 6.✍️ Which prompt is clearer?
   A: “Give me 10 questions on the 7 times table, with answers at the end.”
   B: “Give me some maths.” (a) Prompt A (b) Prompt B
7. 7.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
8. 8.🛠️ Which is the improved prompt?
   A: “List 5 good habits for healthy teeth, one short line each, for a Class 3 poster.”
   B: “Teeth.” (a) Prompt A (b) Prompt B
9. 9.Which of these is a warning sign of a fake picture or story? (a) six fingers on a hand (b) a clear date (c) a named author (d) the original photo found
10. 10.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
11. 11.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
12. 12.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
13. 13.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
14. 14.🔎 Before sharing a surprising post, which comes first — look at the source or notice your feelings? (a) look at the source (b) notice your feelings
15. 15.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) old emails marked spam (d) typing a new spoken word
16. 16.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) skip testing (d) copy old unfair choices
17. 17.©️ Does this need credit: a survey you ran in class? (a) needs credit (b) your own work
18. 18.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
19. 19.🎂 Ask an adult first, or fine to do yourself: buying an add-on inside an app? (a) ask an adult first (b) fine to do yourself
20. 20.True or false: “naming a new leaf” is training data. (a) True (b) False
21. 21.True or false: taking a break from the screen is fine to do by yourself. (a) True (b) False
22. 22.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
23. 23.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) learning (b) generative (c) rule-based
24. 24.🛠️ Does this make a weak prompt better: add exclamation marks? (a) not a fix (b) a good fix
25. 25.True or false: a story you made up is your own work (no credit needed). (a) True (b) False
26. 26.🔎 How can you check where a photo first came from? (a) share it more (b) zoom in on it (c) print it out (d) a reverse image search
27. 27.🖼️ Warning sign or good sign: blurry, melted text? (a) a warning sign (b) a good sign
28. 28.Which of these makes a weak prompt better? (a) say what it is for (b) write it in capitals (c) make it vaguer (d) add exclamation marks
29. 29.True or false: “naming a new leaf” is the model. (a) True (b) False
30. 30.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) predicting (c) recommending (d) generating
31. 31.🚩 A study chatbot asks you to check facts. Is that a red flag? (a) a red flag (b) normal
32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
33. 33.True or false: “Make 8 cards on the parts of a flower.” is asking for a practice quiz. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.🔎 Before sharing a surprising post, which comes first — search trusted news or notice your feelings? (a) search trusted news (b) notice your feelings
36. 36.📲 Input, model or output: “the generated picture”? (a) the input (b) the model (c) the output
37. 37.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) generating (c) recognising (d) predicting
38. 38.✍️ Which prompt is clearer?
    A: “Food ideas?”
    B: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.” (a) Prompt A (b) Prompt B
39. 39.True or false: “same steps every time” describes how AI works. (a) True (b) False
40. 40.Which of these makes a weak prompt better? (a) add unrelated details (b) write it in capitals (c) add exclamation marks (d) give an example

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