AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 412 · 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.🎂 A chatbot message makes you feel uneasy. What should you do? (a) reply rudely (b) keep chatting (c) stop and tell an adult (d) keep it a secret
2. 2.True or false: turning your spoken words into typed text is AI predicting something. (a) False (b) True
3. 3.💬 Rule-based or learning chatbot: “learns from examples”? (a) rule-based (b) learning
4. 4.💬 Does this request help you learn, or do the work for you? “give me a hint” (a) does it for you (b) helps you learn
5. 5.🖼️ Warning sign or good sign: the original photo found? (a) a good sign (b) a warning sign
6. 6.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
7. 7.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
8. 8.True or false: “no hard science words” sets a length limit. (a) True (b) False
9. 9.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) False (b) True
10. 10.True or false: “Sample: Q: 4 × 2? A: 8” is the format part of a prompt. (a) False (b) True
11. 11.©️ You use an AI-made picture in a school project. What should you write? (a) a friend’s name (b) “made with AI” (c) your own name only (d) nothing at all
12. 12.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
13. 13.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
14. 14.True or false: “learns from examples” describes a rule-based chatbot. (a) True (b) False
15. 15.True or false: “Pretend you are a travel guide.” is the role part of a prompt. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
17. 17.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
18. 18.Which of these is stage 1 (try it yourself)? (a) ask for the steps (b) solve a new one alone (c) ask for one hint (d) have a go on your own
19. 19.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
20. 20.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
21. 21.Which of these is someone else’s work (credit it)? (a) a story I made up (b) a poet’s famous poem (c) a photo I took (d) my own diary
22. 22.📏 Why add a constraint to a prompt? (a) to hide the task (b) to get what you need (c) to waste time (d) to make AI angry
23. 23.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
24. 24.📏 What kind of constraint is “in a funny way”? (a) a length limit (b) a style or tone (c) what to include (d) a reading level
25. 25.🪜 What does this prompt ask for? “Just give me the answer to 456 ÷ 4.” (a) asks only for the answer (b) asks for steps
26. 26.🔍 Which is the odd one out? (a) the original photo found (b) fits other reports (c) too good to be true (d) a named author
27. 27.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
28. 28.Which of these is the output? (a) the patterns it learned (b) a photo you upload (c) a tune you hum (d) the label “cat”
29. 29.💬 Does this request help you learn, or do the work for you? “write my poem for me” (a) does it for you (b) helps you learn
30. 30.📲 Input, model or output: “a tune you hum”? (a) the output (b) the model (c) the input
31. 31.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) balance the data
32. 32.🗂️ An AI made you a summary. What should you do next? (a) share it as yours (b) check it with the book (c) learn it blindly (d) delete the book
33. 33.True or false: “in a friendly tone” sets the reading level. (a) False (b) True
34. 34.Which of these makes a weak prompt better? (a) write it in capitals (b) make it vaguer (c) say what it is for (d) add unrelated details
35. 35.Which of these is stage 2 (ask for help)? (a) have a go on your own (b) ask for one hint (c) solve a new one alone (d) try the sum yourself
36. 36.📏 What kind of constraint is “no hard science words”? (a) a style or tone (b) a length limit (c) what to include (d) a reading level
37. 37.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
38. 38.🧩 Why add an example to a prompt? (a) to show the style (b) to hide the task (c) to confuse the AI (d) to make it longer
39. 39.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students