Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 29 · 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 of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) copies of one photo
2. 2.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) very few examples (d) photos in many lights
3. 3.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
4. 4.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
5. 5.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
6. 6.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) change colour (d) slower to switch on
7. 7.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) copies of one photo (d) clear, sharp examples
8. 8.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
9. 9.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
10. 10.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
11. 11.True or false: “wrong labels” is good for training a model. (a) True (b) False
12. 12.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
13. 13.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
14. 14.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
16. 16.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) new data for testing (d) testing on training data
17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) checking labels twice (d) new data for testing
18. 18.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
19. 19.True or false: “very few examples” is good for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) correct labels (d) testing on training data
21. 21.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
22. 22.True or false: “checking labels twice” is good for training a model. (a) False (b) True
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
24. 24.True or false: “correct labels” is good for training a model. (a) False (b) True
25. 25.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) new data for testing (d) only one kind of example
26. 26.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
27. 27.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
29. 29.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) many varied examples (d) blurry, unclear photos
30. 30.🏷️ 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
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
32. 32.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
33. 33.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
36. 36.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) labels added at random (d) photos in many lights
37. 37.True or false: “examples of every type” is good for training a model. (a) True (b) False
38. 38.🏷️ 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
39. 39.True or false: “testing on training data” is bad for training a model. (a) True (b) False
40. 40.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) correct labels (d) copies of one photo

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