Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 307 · 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) copies of one photo (c) testing on training data (d) many varied examples
2. 2.🏷️ 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
3. 3.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) very few examples (d) copies of one photo
4. 4.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
6. 6.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
12. 12.True or false: “examples of every type” is bad for training a model. (a) False (b) True
13. 13.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) only one kind of example (b) labels added at random (c) many varied examples (d) blurry, unclear photos
15. 15.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
16. 16.True or false: “testing on training data” is bad for training a model. (a) False (b) True
17. 17.True or false: “correct labels” is good for training a model. (a) False (b) True
18. 18.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) blurry, unclear photos (d) correct labels
19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
20. 20.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) wrong labels (d) new data for testing
21. 21.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
22. 22.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) testing on training data (d) clear, sharp examples
23. 23.🏷️ 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
24. 24.🐶 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) one single photo (d) many labelled photos
25. 25.Which of these is bad for training a model? (a) only one kind of example (b) examples of every type (c) correct labels (d) many varied examples
26. 26.True or false: “very few examples” is bad for training a model. (a) True (b) False
27. 27.True or false: “wrong labels” is good for training a model. (a) True (b) False
28. 28.True or false: “checking labels twice” is good for training a model. (a) False (b) True
29. 29.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
30. 30.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) clear, sharp examples (d) very few examples
31. 31.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
32. 32.🏷️ 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
33. 33.True or false: “new data for testing” is bad for training a model. (a) True (b) False
34. 34.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) wrong labels (d) correct labels
35. 35.🔍 Which is the odd one out? (a) only one kind of example (b) blurry, unclear photos (c) very few examples (d) checking labels twice
36. 36.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) photos in many lights (d) very few examples
37. 37.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
38. 38.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
39. 39.🏷️ 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
40. 40.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) many varied examples (d) testing on training data

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