AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 449 · 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 AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) drafting a letter (c) composing a new tune (d) unlocking with a face
2. 2.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
3. 3.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
4. 4.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
5. 5.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recommending (d) recognising
6. 6.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
7. 7.Which of these is not AI? (a) a spam filter (b) face unlock on a phone (c) video suggestions (d) a digital watch
8. 8.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
9. 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) sorting photos by face (c) writing quiz questions (d) writing a new poem
10. 10.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
12. 12.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) the learned patterns (d) old emails marked spam
13. 13.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
14. 14.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
16. 16.🔍 Which is the odd one out? (a) a light switch (b) a digital watch (c) a map predicting traffic (d) a torch
17. 17.Which of these is bad for training a model? (a) copies of one photo (b) checking labels twice (c) photos in many lights (d) clear, sharp examples
18. 18.True or false: “the learned patterns” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “flagging a new email” is a prediction. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) AI has real feelings (d) AI copies data patterns
22. 22.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
23. 23.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) never learns from data (d) uses rules people wrote
24. 24.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) correct labels (d) only one kind of example
25. 25.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
27. 27.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
30. 30.Which of these is a myth about AI? (a) AI can make up facts (b) AI is never wrong (c) AI answers need checking (d) AI copies data patterns
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
32. 32.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
35. 35.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
37. 37.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) recorded spoken words (d) old emails marked spam
38. 38.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
39. 39.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
40. 40.🏷️ 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

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