Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 217 · 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.🏷️ 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
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
3. 3.True or false: “labels added at random” is bad for training a model. (a) False (b) True
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
5. 5.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
6. 6.True or false: “photos in many lights” is good for training a model. (a) False (b) True
7. 7.True or false: “very few examples” is good for training a model. (a) True (b) False
8. 8.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) correct labels (d) testing on training data
9. 9.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
10. 10.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
11. 11.Which of these is good for training a model? (a) checking labels twice (b) copies of one photo (c) testing on training data (d) labels added at random
12. 12.True or false: “labels added at random” is good for training a model. (a) False (b) True
13. 13.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
14. 14.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
15. 15.True or false: “testing on training data” is bad for training a model. (a) False (b) True
16. 16.True or false: “correct labels” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
18. 18.🏷️ 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
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
20. 20.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: “wrong labels” is bad for training a model. (a) False (b) True
22. 22.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
23. 23.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) blurry, unclear photos (d) very few examples
24. 24.True or false: “testing on training data” is good for training a model. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) wrong labels (d) new data for testing
26. 26.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
27. 27.Which of these is bad for training a model? (a) wrong labels (b) checking labels twice (c) examples of every type (d) many varied examples
28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
29. 29.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) very few examples (d) photos in many lights
30. 30.True or false: “examples of every type” is bad for training a model. (a) True (b) False
31. 31.Which of these is bad for training a model? (a) correct labels (b) testing on training data (c) checking labels twice (d) photos in many lights
32. 32.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
33. 33.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) testing on training data (d) checking labels twice
34. 34.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
35. 35.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
37. 37.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
38. 38.🐶 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
39. 39.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) correct labels (d) examples of every type
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True

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