Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 410 · 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 good for training a model? (a) very few examples (b) new data for testing (c) labels added at random (d) testing on training data
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) correct labels (d) many varied examples
3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
5. 5.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
6. 6.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) clear, sharp examples (d) correct labels
7. 7.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
8. 8.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) checking labels twice (d) only one kind of example
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
10. 10.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
12. 12.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) examples of every type (d) labels added at random
13. 13.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
14. 14.True or false: “correct labels” is good for training a model. (a) False (b) True
15. 15.True or false: “wrong labels” is good for training a model. (a) True (b) False
16. 16.🏷️ 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
17. 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
18. 18.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
19. 19.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) very few examples (d) testing on training data
20. 20.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
21. 21.Which of these is good for training a model? (a) photos in many lights (b) copies of one photo (c) very few examples (d) only one kind of example
22. 22.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
23. 23.True or false: “new data for testing” is bad for training a model. (a) True (b) False
24. 24.Which of these is good for training a model? (a) correct labels (b) very few examples (c) only one kind of example (d) wrong labels
25. 25.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
26. 26.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
27. 27.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
28. 28.🏷️ 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
29. 29.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
31. 31.True or false: “very few examples” is good for training a model. (a) False (b) True
32. 32.Which of these is bad for training a model? (a) only one kind of example (b) clear, sharp examples (c) photos in many lights (d) correct labels
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
34. 34.🏷️ 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
35. 35.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) checking labels twice (d) copies of one photo
37. 37.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
38. 38.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
39. 39.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
40. 40.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False

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