AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 997 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
2. 2.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) does exactly as coded (d) learns from examples
3. 3.Which of these is not AI? (a) face unlock on a phone (b) photos grouped by face (c) video suggestions (d) a calculator
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
5. 5.Which of these adds to bias? (a) ask different people (b) check who is missing (c) test on one group only (d) fix wrong labels
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
7. 7.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) only one kind of example (d) many varied examples
8. 8.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
9. 9.Which of these is not AI? (a) video suggestions (b) a digital watch (c) an image generator (d) a spam filter
10. 10.🔍 Which is the odd one out? (a) composing a new tune (b) spotting a sick leaf (c) writing a new poem (d) creating a cartoon
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
13. 13.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
14. 14.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
16. 16.Which of these is generative AI (it makes something new)? (a) predicting rain (b) unlocking with a face (c) spotting a sick leaf (d) drawing a new picture
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
18. 18.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
19. 19.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
21. 21.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) naming a new leaf (d) tomorrow’s rain guess
22. 22.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
23. 23.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) correct labels (d) examples of every type
24. 24.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
25. 25.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ignore complaints (d) use one group only
27. 27.🔍 Which is the odd one out? (a) sorting photos by face (b) writing a new poem (c) spotting spam (d) spotting a sick leaf
28. 28.True or false: “ask different people” adds to bias. (a) False (b) True
29. 29.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) only at night (d) yes, it is smart
30. 30.Which of these describes how AI works? (a) improves with more data (b) never learns from data (c) follows fixed rules (d) one set rule per case
31. 31.Which of these describes how a normal program works? (a) same steps every time (b) spots patterns in data (c) learns from examples (d) gives a likely answer
32. 32.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the textbook (c) stop studying (d) trust the AI
33. 33.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
34. 34.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
35. 35.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
37. 37.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
40. 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students