AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 120 · 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 uses AI? (a) a stopwatch (b) a printed timetable (c) a kitchen weighing scale (d) a spam filter
2. 2.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
3. 3.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
4. 4.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
5. 5.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
6. 6.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on one group only (d) test on many groups
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
8. 8.Which of these describes how AI works? (a) uses rules people wrote (b) spots patterns in data (c) follows fixed rules (d) never learns from data
9. 9.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) yes, it can think (d) only at night
10. 10.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
11. 11.🏷️ 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
12. 12.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
13. 13.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
14. 14.Which of these is bad for training a model? (a) many varied examples (b) labels added at random (c) clear, sharp examples (d) new data for testing
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
16. 16.True or false: “long answers are true” is a fact about AI. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
18. 18.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) examples of every type (d) new data for testing
19. 19.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a backup (d) a summary
20. 20.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) video suggestions (d) a calculator
21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
22. 22.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
23. 23.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) improves with more data (d) follows fixed rules
24. 24.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
25. 25.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
26. 26.True or false: an AI tool making a brand-new tune is AI recognising something. (a) False (b) True
27. 27.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
29. 29.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
30. 30.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
31. 31.Which of these is generative AI (it makes something new)? (a) reading number plates (b) sorting photos by face (c) predicting rain (d) creating a cartoon
32. 32.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI always checks facts (d) AI answers need checking
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
35. 35.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
36. 36.Which of these is not AI? (a) a printed timetable (b) voice typing (c) photos grouped by face (d) an AI chatbot
37. 37.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
38. 38.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) copies of one photo (d) new data for testing
39. 39.Which of these is a myth about AI? (a) AI copies data patterns (b) AI answers need checking (c) AI can be wrong (d) AI is never wrong
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model

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