AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 277 · 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.True or false: “in very simple words” sets the style or tone. (a) True (b) False
2. 2.📝 Honest use or copying: pasting its answers into your homework sheet? (a) not honest (b) honest use
3. 3.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
5. 5.🧩 Which part of a prompt is this? “Summarise this paragraph.” (a) context (b) task (c) example (d) role
6. 6.Which of these is generative AI (it makes something new)? (a) reading number plates (b) writing quiz questions (c) spotting spam (d) unlocking with a face
7. 7.🪜 An AI shows steps for a sum. What should you do with them? (a) ignore them (b) copy them blindly (c) delete them (d) check each step
8. 8.🚩 A study chatbot asks you to check facts. Is that a red flag? (a) normal (b) a red flag
9. 9.Which of these is a good sign (but still check)? (a) a named author (b) six fingers on a hand (c) mismatched earrings (d) a background that bends
10. 10.True or false: “correct labels” is good for training a model. (a) True (b) False
11. 11.©️ Does this need credit: a clay model you built? (a) your own work (b) needs credit
12. 12.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
14. 14.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) testing on training data (d) labels added at random
15. 15.🧩 Which part of a prompt is this? “It is for a school assembly.” (a) context (b) task (c) example (d) format
16. 16.📲 Input, model or output: “a photo you upload”? (a) the output (b) the model (c) the input
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.🪜 What does this prompt ask for? “Show each step of 456 ÷ 4.” (a) asks for steps (b) asks only for the answer
19. 19.©️ Does this need credit: a photo from a website in your slides? (a) your own work (b) needs credit
20. 20.True or false: a story you made up needs credit (say where it came from). (a) True (b) False
21. 21.Which of these says what to include? (a) no more than 100 words (b) with one example (c) for a Class 3 student (d) in a funny way
22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
23. 23.Which of these is training data? (a) flagging a new email (b) past weather records (c) tomorrow’s rain guess (d) naming a new leaf
24. 24.🛠️ Does this make a weak prompt better: add unrelated details? (a) not a fix (b) a good fix
25. 25.🔍 Which is the odd one out? (a) suggests practice (b) offers a quiz (c) asks your class level (d) urges you to click links
26. 26.⏩ When you use an AI app, which happens first: the model finds patterns or you hum a tune? (a) the model finds patterns (b) you hum a tune
27. 27.✍️ Which prompt is clearer?
    A: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”
    B: “Rhymes.” (a) Prompt A (b) Prompt B
28. 28.🔒 What happens to what you type into many AI apps? (a) it may be stored (b) it vanishes forever (c) it turns into music (d) it becomes secret
29. 29.🔁 Learning a hard sum with AI: which should you do first — do one more on your own or attempt it on paper? (a) do one more on your own (b) attempt it on paper
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
31. 31.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
32. 32.📝 Tara’s prompt must stay within 100 words. Tara has written 85 words so far. How many more words can be added?
33. 33.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) test on many groups (d) check who is missing
34. 34.Which of these is good for training a model? (a) many varied examples (b) testing on training data (c) wrong labels (d) labels added at random
35. 35.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
36. 36.True or false: “your spelling list” is okay to share with an AI chatbot. (a) False (b) True
37. 37.🗂️ An AI flashcard has a wrong fact. What should you do? (a) ignore it (b) learn it anyway (c) throw all cards away (d) correct the card
38. 38.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) photos in many lights (d) copies of one photo
39. 39.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
40. 40.Which of these requests helps you learn? (a) “finish my homework” (b) “define ‘orbit’ for me” (c) “write my diary entry” (d) “answer all 10 sums”

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