AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 563 · 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.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
2. 2.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) makes a best guess (d) never learns from data
3. 3.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) only stores files (d) charges batteries
4. 4.True or false: a weather app guessing tomorrow’s rain is AI recommending something. (a) False (b) True
5. 5.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
7. 7.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
8. 8.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
9. 9.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
10. 10.Which of these is not AI? (a) photos grouped by face (b) an AI chatbot (c) face unlock on a phone (d) a stopwatch
11. 11.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
12. 12.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
13. 13.🔍 Which is the odd one out? (a) a torch (b) voice typing (c) an AI chatbot (d) video suggestions
14. 14.True or false: an AI chatbot writing a poem about rain is AI predicting something. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
16. 16.Which of these describes how a normal program works? (a) spots patterns in data (b) never learns from data (c) learns from examples (d) gives a likely answer
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
18. 18.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
19. 19.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
20. 20.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) naming a new leaf
21. 21.Which of these is not AI? (a) voice typing (b) a calculator (c) an image generator (d) face unlock on a phone
22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
23. 23.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
24. 24.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) text (c) an image
25. 25.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
26. 26.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
27. 27.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) spotting a sick leaf (c) composing a new tune (d) turning speech to text
28. 28.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
29. 29.🔍 Which is the odd one out? (a) a torch (b) a digital watch (c) an AI chatbot (d) a light switch
30. 30.Which of these is a prediction? (a) the trained program (b) past weather records (c) flagging a new email (d) old emails marked spam
31. 31.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
32. 32.True or false: “add more of the same” helps reduce bias. (a) True (b) False
33. 33.Which of these describes how AI works? (a) one set rule per case (b) improves with more data (c) follows fixed rules (d) uses rules people wrote
34. 34.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
36. 36.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
37. 37.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
38. 38.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False

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