Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 139 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
2. 2.True or false: “examples of every type” is good for training a model. (a) True (b) False
3. 3.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
7. 7.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
11. 11.True or false: “very few examples” is good for training a model. (a) False (b) True
12. 12.True or false: “only one kind of example” is good for training a model. (a) False (b) True
13. 13.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
14. 14.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
15. 15.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
16. 16.True or false: “testing on training data” is bad for training a model. (a) False (b) True
17. 17.True or false: “labels added at random” is bad for training a model. (a) False (b) True
18. 18.🏷️ 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
19. 19.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
20. 20.Which of these is bad for training a model? (a) very few examples (b) correct labels (c) examples of every type (d) clear, sharp examples
21. 21.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
22. 22.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) testing on training data (d) copies of one photo
23. 23.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) many varied examples
24. 24.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
25. 25.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
26. 26.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
27. 27.True or false: “very few examples” is bad for training a model. (a) False (b) True
28. 28.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
29. 29.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
31. 31.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
32. 32.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) copies of one photo (d) clear, sharp examples
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
34. 34.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) labels added at random (d) examples of every type
35. 35.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) checking labels twice (d) examples of every type
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
37. 37.True or false: “examples of every type” is bad for training a model. (a) False (b) True
38. 38.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
39. 39.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam

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