Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 64 · 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.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) labels added at random (d) many varied examples
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) not spam (b) spam
3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
4. 4.Which of these is good for training a model? (a) copies of one photo (b) correct labels (c) wrong labels (d) blurry, unclear photos
5. 5.Which of these is bad for training a model? (a) checking labels twice (b) wrong labels (c) examples of every type (d) new data for testing
6. 6.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
7. 7.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
8. 8.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
9. 9.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) many varied examples (d) examples of every type
10. 10.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) clear, sharp examples (d) blurry, unclear photos
11. 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
13. 13.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
14. 14.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) correct labels (d) new data for testing
15. 15.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
16. 16.True or false: “examples of every type” is good for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
18. 18.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
19. 19.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
20. 20.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
21. 21.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) photos in many lights (d) blurry, unclear photos
22. 22.Which of these is bad for training a model? (a) new data for testing (b) copies of one photo (c) clear, sharp examples (d) photos in many lights
23. 23.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
24. 24.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
25. 25.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.True or false: “only one kind of example” is good for training a model. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) checking labels twice (d) new data for testing
29. 29.True or false: “correct labels” is good for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
31. 31.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) checking labels twice (d) only one kind of example
32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
33. 33.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) labels added at random (d) correct labels
34. 34.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) checking labels twice (d) blurry, unclear photos
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
36. 36.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
37. 37.Which of these is bad for training a model? (a) new data for testing (b) labels added at random (c) checking labels twice (d) examples of every type
38. 38.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
39. 39.True or false: “labels added at random” is bad for training a model. (a) False (b) True
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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