AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 293 · 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: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
3. 3.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
4. 4.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
5. 5.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
6. 6.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
7. 7.🤖 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
8. 8.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) copies of one photo
9. 9.True or false: “test on many groups” helps reduce bias. (a) False (b) True
10. 10.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
11. 11.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
12. 12.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) wrong labels (d) new data for testing
15. 15.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
16. 16.True or false: “a story about a brave ant” asks for music or sound. (a) False (b) True
17. 17.Which of these is not AI? (a) a light switch (b) an image generator (c) a voice assistant (d) an app translating signs
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
19. 19.True or false: “past weather records” is the model. (a) True (b) False
20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
21. 21.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
22. 22.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
23. 23.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) predicting (d) recognising
24. 24.True or false: “learns from examples” describes how AI works. (a) True (b) False
25. 25.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
26. 26.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can be wrong (c) AI can make up facts (d) AI has real feelings
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
29. 29.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI has real feelings (d) AI can be wrong
30. 30.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) add more of the same
31. 31.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
33. 33.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) copy old unfair choices
34. 34.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
35. 35.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
36. 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) drawing a new picture (c) writing quiz questions (d) making up a story
37. 37.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
38. 38.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
39. 39.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
40. 40.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) generating (d) recommending

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