AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 694 · 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: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
2. 2.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) naming a new leaf (d) the trained program
3. 3.True or false: “test on many groups” helps reduce bias. (a) False (b) True
4. 4.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
5. 5.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
7. 7.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
8. 8.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
9. 9.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) photos in many lights (d) labels added at random
10. 10.True or false: “correct labels” is bad for training a model. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) writing quiz questions (b) writing a new poem (c) composing a new tune (d) reading number plates
12. 12.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) clear, sharp examples
14. 14.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
16. 16.🏷️ 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
17. 17.True or false: “naming a new fruit photo” is training data. (a) False (b) True
18. 18.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) flagging a new email
19. 19.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
20. 20.True or false: “examples of every type” is bad for training a model. (a) False (b) True
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) drawing a new picture (c) inventing a recipe (d) writing a new poem
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
24. 24.Which of these uses AI? (a) an AI chatbot (b) a microwave timer (c) a light switch (d) a stopwatch
25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
26. 26.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
27. 27.Which of these is bad for training a model? (a) photos in many lights (b) very few examples (c) many varied examples (d) new data for testing
28. 28.True or false: “past weather records” is the model. (a) True (b) False
29. 29.True or false: “improves with more data” describes how AI works. (a) False (b) True
30. 30.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
33. 33.Which of these is generative AI (it makes something new)? (a) spotting spam (b) sorting photos by face (c) making up a story (d) turning speech to text
34. 34.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
35. 35.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
36. 36.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
37. 37.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
38. 38.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) follows fixed rules (d) handles unseen examples
39. 39.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students