Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 305 · 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 “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
2. 2.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
3. 3.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
4. 4.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) testing on training data (d) examples of every type
6. 6.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
7. 7.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
8. 8.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
9. 9.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) correct labels (d) very few examples
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
13. 13.🏷️ 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
14. 14.🏷️ 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
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
16. 16.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) labels added at random (d) correct labels
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
18. 18.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) wrong labels (d) correct labels
19. 19.🐶 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
20. 20.True or false: “very few examples” is good for training a model. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) photos in many lights (d) correct labels
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
24. 24.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) checking labels twice (d) wrong labels
25. 25.🏷️ 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
26. 26.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) correct labels (d) testing on training data
27. 27.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
29. 29.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
31. 31.🔍 Which is the odd one out? (a) many varied examples (b) very few examples (c) copies of one photo (d) wrong labels
32. 32.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) clear, sharp examples (d) photos in many lights
33. 33.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
35. 35.Which of these is bad for training a model? (a) labels added at random (b) many varied examples (c) correct labels (d) photos in many lights
36. 36.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
37. 37.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) blurry, unclear photos (d) correct labels
38. 38.True or false: “labels added at random” is good for training a model. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) checking labels twice (d) examples of every type
40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) wrong labels (d) many varied examples

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