AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 224 · 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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
2. 2.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) context (b) format (c) example (d) task
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
4. 4.🔁 Learning a hard sum with AI: which should you do first — attempt it on paper or ask how to start? (a) attempt it on paper (b) ask how to start
5. 5.True or false: “testing on training data” is good for training a model. (a) False (b) True
6. 6.True or false: “in a funny way” sets the reading level. (a) True (b) False
7. 7.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
8. 8.✨ What does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
9. 9.Which of these should be kept private — never share it with an AI chatbot? (a) a history question (b) your school ID number (c) a grammar doubt (d) a word you don’t know
10. 10.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
12. 12.❌ Tara’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
13. 13.🔍 Which is the odd one out? (a) asks for money (b) asks to keep a secret (c) asks your class level (d) asks for photos of you
14. 14.True or false: “flagging a new email” is a prediction. (a) False (b) True
15. 15.Which of these is not AI? (a) an image generator (b) an AI chatbot (c) photos grouped by face (d) a calculator
16. 16.🔍 Which is the odd one out? (a) a spam filter (b) face unlock on a phone (c) a doorbell (d) an app translating signs
17. 17.🖼️ Warning sign or good sign: blurry, melted text? (a) a good sign (b) a warning sign
18. 18.🗂️ What study help is this prompt asking for? “Give me the main idea of this paragraph in one line.” (a) an explanation (b) a practice quiz (c) flashcards (d) a summary
19. 19.🔒 Keep it private or okay to share with an AI chatbot: a chapter name? (a) keep it private (b) okay to share
20. 20.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) old emails marked spam
21. 21.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) role (c) format (d) task
22. 22.Which of these is a myth about AI? (a) AI learns from data (b) long answers are true (c) AI can mix up numbers (d) AI can make up facts
23. 23.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
25. 25.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
26. 26.True or false: “confident means correct” is a fact about AI. (a) True (b) False
27. 27.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
28. 28.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
29. 29.Which of these is NOT a good source to check against? (a) your teacher (b) your school textbook (c) an encyclopedia (d) a rumour from a friend
30. 30.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) labels added at random (d) new data for testing
31. 31.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
33. 33.True or false: “in a funny way” says what to include. (a) True (b) False
34. 34.📖 Is this a good source to check an AI answer against: an anonymous post? (a) a good source (b) not a good source
35. 35.🚩 A study chatbot admits it is unsure. Is that a red flag? (a) a red flag (b) normal
36. 36.📖 An AI chatbot gives a quote and a source. What should you do? (a) copy it straight away (b) delete your notes (c) add more quotes (d) check the source is real
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
38. 38.🔒 Keep it private or okay to share with an AI chatbot: your phone number? (a) keep it private (b) okay to share
39. 39.True or false: “your home address” should be kept private — never share it with an AI chatbot. (a) False (b) True
40. 40.True or false: “builds its own replies” describes a rule-based chatbot. (a) False (b) True

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