AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 972 · 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 describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) makes a best guess (d) does exactly as coded
2. 2.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
3. 3.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
4. 4.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
5. 5.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
6. 6.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) recorded spoken words (d) old emails marked spam
7. 7.Which of these is not AI? (a) a light switch (b) photos grouped by face (c) an AI chatbot (d) face unlock on a phone
8. 8.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
9. 9.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
10. 10.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
12. 12.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) never learns from data (d) does exactly as coded
13. 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: “testing on training data” is good for training a model. (a) False (b) True
15. 15.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
16. 16.🔍 Which is the odd one out? (a) drawing a new picture (b) writing a new poem (c) turning speech to text (d) creating a cartoon
17. 17.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ask different people (d) copy old unfair choices
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
19. 19.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
20. 20.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) ignore complaints
21. 21.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
22. 22.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
23. 23.True or false: “confident means correct” is a fact about AI. (a) False (b) True
24. 24.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) stop studying (d) trust the AI
25. 25.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) check it on paper (d) ask it to hurry
26. 26.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
27. 27.True or false: “use one group only” adds to bias. (a) False (b) True
28. 28.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
29. 29.Which of these describes how a normal program works? (a) never learns from data (b) improves with more data (c) gives a likely answer (d) handles unseen examples
30. 30.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
31. 31.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
32. 32.True or false: “checking labels twice” is good for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
34. 34.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) flagging a new email
35. 35.True or false: “the trained program” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
37. 37.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
38. 38.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
39. 39.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) correct labels (d) labels added at random
40. 40.🧮 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

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