Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 582 · 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) wrong labels (b) copies of one photo (c) new data for testing (d) testing on training data
2. 2.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) wrong labels (d) blurry, unclear photos
3. 3.🐶 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
4. 4.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
6. 6.🏷️ 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
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
8. 8.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
9. 9.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
10. 10.Which of these is good for training a model? (a) labels added at random (b) checking labels twice (c) testing on training data (d) copies of one photo
11. 11.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
12. 12.🏷️ 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) not spam (b) spam
13. 13.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
14. 14.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
15. 15.True or false: “correct labels” is good for training a model. (a) True (b) False
16. 16.Which of these is good for training a model? (a) examples of every type (b) copies of one photo (c) only one kind of example (d) very few examples
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
19. 19.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
20. 20.🏷️ 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
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
22. 22.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
23. 23.🏷️ 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
24. 24.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) many varied examples (d) blurry, unclear photos
25. 25.True or false: “wrong labels” is good for training a model. (a) False (b) True
26. 26.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
27. 27.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
28. 28.🏷️ 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
29. 29.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) very few examples (d) correct labels
30. 30.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
32. 32.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
33. 33.True or false: “new data for testing” is good for training a model. (a) False (b) True
34. 34.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
35. 35.True or false: “many varied examples” is bad for training a model. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) checking labels twice (d) new data for testing
37. 37.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) correct labels (d) wrong labels
38. 38.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
39. 39.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
40. 40.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) very few examples (d) new data for testing

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