AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 576 · 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.True or false: “add more of the same” adds to bias. (a) False (b) True
2. 2.Which of these describes how AI works? (a) follows fixed rules (b) handles unseen examples (c) one set rule per case (d) does exactly as coded
3. 3.Which of these uses AI? (a) a kitchen weighing scale (b) an AI chatbot (c) a doorbell (d) a microwave timer
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
5. 5.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
6. 6.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
7. 7.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
8. 8.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
9. 9.True or false: “improves with more data” describes how AI works. (a) True (b) False
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
11. 11.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
14. 14.🔍 Which is the odd one out? (a) writing quiz questions (b) reading number plates (c) sorting photos by face (d) unlocking with a face
15. 15.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
16. 16.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) add more of the same (d) skip testing
17. 17.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recognising (c) generating (d) recommending
18. 18.True or false: “flagging a new email” is training data. (a) True (b) False
19. 19.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
20. 20.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
21. 21.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
22. 22.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
23. 23.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
24. 24.🔍 Which is the odd one out? (a) a fan regulator (b) a kitchen weighing scale (c) video suggestions (d) a microwave timer
25. 25.Which of these is a fact about AI? (a) long answers are true (b) confident means correct (c) AI learns from data (d) AI always checks facts
26. 26.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
28. 28.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
30. 30.🔍 Which is the odd one out? (a) confident means correct (b) AI copies data patterns (c) AI is never wrong (d) AI has real feelings
31. 31.Which of these uses AI? (a) a doorbell (b) a printed timetable (c) a digital watch (d) a spam filter
32. 32.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
33. 33.🔍 Which is the odd one out? (a) a calculator (b) a kitchen weighing scale (c) a voice assistant (d) a torch
34. 34.Which of these is not AI? (a) an image generator (b) an app translating signs (c) video suggestions (d) a doorbell
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
36. 36.Which of these is training data? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
38. 38.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
39. 39.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
40. 40.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model

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