AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 803 · 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.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
2. 2.True or false: “the trained program” is the model. (a) False (b) True
3. 3.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
5. 5.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
6. 6.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
7. 7.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
9. 9.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
10. 10.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
11. 11.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI can mix up numbers (d) long answers are true
12. 12.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
13. 13.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) test on one group only (d) test on many groups
16. 16.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) copies of one photo (d) new data for testing
17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) a fan regulator (b) a microwave timer (c) a digital watch (d) a map predicting traffic
19. 19.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
20. 20.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
21. 21.Which of these is a myth about AI? (a) AI learns from data (b) AI knows everything (c) AI copies data patterns (d) AI can make up facts
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
23. 23.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
25. 25.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
26. 26.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
27. 27.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
28. 28.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) makes a best guess (d) one set rule per case
29. 29.True or false: “balance the data” helps reduce bias. (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
31. 31.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
32. 32.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
33. 33.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
34. 34.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
35. 35.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
36. 36.🏷️ 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
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
38. 38.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
39. 39.Which of these uses AI? (a) voice typing (b) a calculator (c) a light switch (d) a stopwatch
40. 40.Which of these uses AI? (a) a calculator (b) a stopwatch (c) a doorbell (d) face unlock on a phone

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