AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 668 · 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.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
2. 2.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
3. 3.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
4. 4.📰 Before you share a shocking news post, you should… (a) forward to all (b) check trusted sources (c) add more emojis (d) share it fast
5. 5.True or false: the request “where did I go wrong?” helps you learn. (a) True (b) False
6. 6.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
7. 7.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
8. 8.True or false: “a drum beat for a dance” asks for text. (a) False (b) True
9. 9.🔁 Learning a hard sum with AI: which should you do first — have a go on your own or ask how to start? (a) have a go on your own (b) ask how to start
10. 10.True or false: “a summary of chapter 3” asks for text. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
12. 12.📝 You used AI to get ideas for a project. What is honest? (a) blame the AI (b) say how you used it (c) say it is all yours (d) hide it
13. 13.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) ignore it (b) check it with a parent (c) lie about your age (d) make a fake account
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
15. 15.📦 Ishaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
17. 17.Which of these is NOT a good source to check against? (a) a science museum site (b) a forwarded message (c) a library book (d) your teacher
18. 18.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) drawing (d) sleeping
19. 19.True or false: turning off a chatbot that feels wrong is fine to do by yourself. (a) False (b) True
20. 20.📖 Is this a good source to check an AI answer against: your teacher? (a) a good source (b) not a good source
21. 21.🧩 Which part of a prompt says WHAT you want done? (a) the format (b) the example (c) the task (d) the role
22. 22.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) follows fixed rules (d) makes a best guess
23. 23.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
24. 24.🔒 What happens to what you type into many AI apps? (a) it may be stored (b) it becomes secret (c) it vanishes forever (d) it turns into music
25. 25.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) examples of every type (d) labels added at random
26. 26.✍️ Which prompt is clearer?
    A: “Tell me about plants.”
    B: “Explain photosynthesis to a Class 6 student in 5 short steps.” (a) Prompt A (b) Prompt B
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
28. 28.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) no, never (c) yes, if it is funny
29. 29.🔍 Which is the odd one out? (a) creating a cartoon (b) spotting spam (c) drafting a letter (d) composing a new tune
30. 30.🛠️ Does this make a weak prompt better: add unrelated details? (a) not a fix (b) a good fix
31. 31.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
32. 32.🧩 Which part of a prompt is this? “Pretend you are a travel guide.” (a) format (b) task (c) context (d) role
33. 33.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
34. 34.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity
35. 35.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
36. 36.🔍 Which is the odd one out? (a) a song on the radio (b) a chart from the news (c) a story I made up (d) a photo from a website
37. 37.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
38. 38.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
39. 39.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) role (c) task (d) format
40. 40.Which of these is the model? (a) the part that decides (b) a photo you upload (c) your typed question (d) the translated text

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