AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 351 · 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.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
2. 2.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) pick a lucky number (d) look in your textbook
3. 3.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
4. 4.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) correct labels (d) photos in many lights
5. 5.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
6. 6.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
7. 7.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
8. 8.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
9. 9.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
10. 10.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
11. 11.Which of these is not AI? (a) voice typing (b) photos grouped by face (c) a kitchen weighing scale (d) an app translating signs
12. 12.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) copies of one photo (d) correct labels
14. 14.True or false: “learns from examples” describes how AI works. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
16. 16.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
17. 17.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a fan regulator (c) video suggestions (d) a doorbell
18. 18.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
19. 19.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
20. 20.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) stop studying (d) trust the textbook
21. 21.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
22. 22.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
24. 24.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
25. 25.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) testing on training data (d) very few examples
26. 26.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) blurry, unclear photos (d) wrong labels
27. 27.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) wrong labels (d) checking labels twice
28. 28.🔍 Which is the odd one out? (a) voice typing (b) a spam filter (c) a calculator (d) an app translating signs
29. 29.True or false: “naming a new leaf” is training data. (a) False (b) True
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
31. 31.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) many varied examples (d) testing on training data
32. 32.True or false: “never learns from data” describes how AI works. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI learns from data (d) long answers are true
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
36. 36.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) very few examples (d) blurry, unclear photos
37. 37.True or false: “new data for testing” is good for training a model. (a) True (b) False
38. 38.Which of these is a myth about AI? (a) AI learns from data (b) confident means correct (c) AI copies data patterns (d) AI answers need checking
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam

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