AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 866 · 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.Which of these is the input? (a) the typed reply (b) a photo you upload (c) the trained AI part (d) the patterns it learned
2. 2.🔍 Which is the odd one out? (a) “where did I go wrong?” (b) “give me a hint” (c) “quiz me on Chapter 3” (d) “do my worksheet”
3. 3.🔍 Which is the odd one out? (a) asks for a password (b) asks your class level (c) asks to meet in person (d) urges you to click links
4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
5. 5.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
6. 6.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
7. 7.📖 Is this a good source to check an AI answer against: a rumour from a friend? (a) a good source (b) not a good source
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
10. 10.🔒 Keep it private or okay to share with an AI chatbot: your school ID number? (a) okay to share (b) keep it private
11. 11.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
12. 12.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
13. 13.True or false: “past weather records” is training data. (a) False (b) True
14. 14.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
15. 15.True or false: “flagging a new email” is a prediction. (a) False (b) True
16. 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
17. 17.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
18. 18.🔍 Which is the odd one out? (a) “finish my homework” (b) “write my diary entry” (c) “explain it more simply” (d) “do my worksheet”
19. 19.True or false: “Turn these 10 words into question-and-answer cards.” is asking for flashcards. (a) False (b) True
20. 20.Which of these is stage 3 (practise alone)? (a) solve a new one alone (b) have a go on your own (c) try the sum yourself (d) ask how to start
21. 21.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
22. 22.💬 Does this request help you learn, or do the work for you? “answer all 10 sums” (a) does it for you (b) helps you learn
23. 23.🚩 A study chatbot admits it is unsure. Is that a red flag? (a) normal (b) a red flag
24. 24.🔍 Which is the odd one out? (a) urges you to click links (b) asks for a password (c) offers a quiz (d) asks for money
25. 25.🧩 Which part of a prompt is this? “Act as my spelling coach.” (a) format (b) task (c) context (d) role
26. 26.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
27. 27.Which of these is a good sign (but still check)? (a) blurry, melted text (b) a named author (c) a background that bends (d) no date or author
28. 28.True or false: “for a Class 3 student” sets the style or tone. (a) False (b) True
29. 29.Which of these describes how a normal program works? (a) handles unseen examples (b) one set rule per case (c) makes a best guess (d) improves with more data
30. 30.True or false: “Write a 4-line poem about the monsoon for our notice board.” is a vague prompt. (a) False (b) True
31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drafting a letter (c) predicting rain (d) creating a cartoon
33. 33.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
34. 34.Which of these is training data? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) flagging a new email
35. 35.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
36. 36.True or false: “matches key words” describes a rule-based chatbot. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) photos in many lights (d) correct labels
38. 38.✍️ Clear or vague: “Teach me maths.”? (a) vague (b) clear
39. 39.📚 Smart or poor way to study with AI: last-night cramming? (a) poor study (b) smart study
40. 40.📖 Which is the most trusted source for a school fact? (a) a chain message (b) a random comment (c) your textbook (d) a funny meme

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