AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 964 · 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 is the odd one out? (a) admits it is unsure (b) asks your class level (c) urges you to click links (d) gives an example
2. 2.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
3. 3.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
4. 4.True or false: “your school ID number” is okay to share with an AI chatbot. (a) False (b) True
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
6. 6.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) lie about your age (b) check it with a parent (c) make a fake account (d) ignore it
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
8. 8.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) examples of every type (d) new data for testing
9. 9.True or false: “examples of every type” is bad for training a model. (a) True (b) False
10. 10.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
11. 11.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
12. 12.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
13. 13.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) uses rules people wrote (d) handles unseen examples
14. 14.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
15. 15.🖼️ Warning sign or good sign: shadows going two ways? (a) a warning sign (b) a good sign
16. 16.⏩ When you use an AI app, which happens first: the model finds patterns or the answer is shown? (a) the model finds patterns (b) the answer is shown
17. 17.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
18. 18.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a length limit (c) a picture (d) a password
19. 19.True or false: “Final answer only for question 7.” asks the AI to show the steps. (a) False (b) True
20. 20.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks only for the answer (b) asks for steps
21. 21.🤔 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
22. 22.🗂️ What study help is this prompt asking for? “Make 8 cards on the parts of a flower.” (a) a summary (b) a practice quiz (c) an explanation (d) flashcards
23. 23.🔍 Which is the odd one out? (a) reading number plates (b) writing a new poem (c) unlocking with a face (d) spotting spam
24. 24.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
25. 25.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
26. 26.©️ Does this need credit: a picture made with an image generator in your project? (a) needs credit (b) your own work
27. 27.True or false: “a classmate’s drawing” is someone else’s work (credit it). (a) True (b) False
28. 28.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
29. 29.Which of these is not AI? (a) video suggestions (b) face unlock on a phone (c) an image generator (d) a digital watch
30. 30.Which of these is the input? (a) the typed reply (b) the trained AI part (c) the translated text (d) a photo you upload
31. 31.Which of these adds to bias? (a) use one group only (b) balance the data (c) ask different people (d) add varied examples
32. 32.🔍 Which is the odd one out? (a) your school ID number (b) a word you don’t know (c) a photo of your friend (d) a bank card number
33. 33.True or false: “leave out the topic” makes a weak prompt better. (a) True (b) False
34. 34.Which of these is a poor way to study with AI? (a) fix any wrong flashcard (b) skipping the textbook (c) ask why, not just what (d) answer before peeking
35. 35.Which of these is a smart way to study with AI? (a) last-night cramming (b) never checking mistakes (c) redo wrong questions (d) reading answers only
36. 36.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) writing a new poem (c) unlocking with a face (d) spotting spam
37. 37.©️ You use an AI-made picture in a school project. What should you write? (a) nothing at all (b) your own name only (c) “made with AI” (d) a friend’s name
38. 38.📏 What kind of constraint is “with one example”? (a) what to include (b) a style or tone (c) a length limit (d) a reading level
39. 39.True or false: “Explain one step at a time why 7 × 8 = 56.” asks only for the final answer. (a) True (b) False
40. 40.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program

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