AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 9 · 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.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
2. 2.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) flagging a new email
3. 3.🏷️ 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
4. 4.Which of these is generative AI (it makes something new)? (a) spotting spam (b) sorting photos by face (c) drawing a new picture (d) unlocking with a face
5. 5.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
8. 8.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) balance the data (d) copy old unfair choices
9. 9.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
10. 10.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
11. 11.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
12. 12.Which of these describes how AI works? (a) one set rule per case (b) improves with more data (c) follows fixed rules (d) never learns from data
13. 13.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) labels added at random (d) checking labels twice
14. 14.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI is never wrong (d) AI knows everything
15. 15.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
16. 16.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
17. 17.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
18. 18.🔍 Which is the odd one out? (a) spotting spam (b) reading number plates (c) writing quiz questions (d) suggesting a video
19. 19.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) spots patterns in data (d) does exactly as coded
20. 20.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
21. 21.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) add varied examples
22. 22.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) inventing a recipe (b) drafting a letter (c) unlocking with a face (d) composing a new tune
25. 25.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
27. 27.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
28. 28.Which of these is not AI? (a) a stopwatch (b) photos grouped by face (c) a map predicting traffic (d) video suggestions
29. 29.True or false: “wrong labels” is bad for training a model. (a) True (b) False
30. 30.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
31. 31.True or false: “testing on training data” is bad for training a model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
33. 33.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) share it online (d) trust the AI
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) labels added at random (d) correct labels
35. 35.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
36. 36.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
37. 37.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
39. 39.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
40. 40.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) recognising (d) predicting

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