Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 175 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
3. 3.🔍 Which is the odd one out? (a) examples of every type (b) labels added at random (c) copies of one photo (d) very few examples
4. 4.True or false: “checking labels twice” is good for training a model. (a) False (b) True
5. 5.True or false: “photos in many lights” is good for training a model. (a) True (b) False
6. 6.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
7. 7.🏷️ 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
8. 8.True or false: “examples of every type” is bad for training a model. (a) True (b) False
9. 9.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
10. 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
11. 11.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
12. 12.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) blurry, unclear photos (d) wrong labels
13. 13.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) photos in many lights (d) very few examples
14. 14.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
15. 15.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) new data for testing (d) very few examples
16. 16.Which of these is bad for training a model? (a) many varied examples (b) very few examples (c) clear, sharp examples (d) new data for testing
17. 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
18. 18.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) correct labels (b) wrong labels (c) checking labels twice (d) many varied examples
20. 20.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) blurry, unclear photos (d) new data for testing
21. 21.True or false: “examples of every type” is good for training a model. (a) False (b) True
22. 22.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
23. 23.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
24. 24.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) checking labels twice (d) clear, sharp examples
26. 26.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
28. 28.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) only one kind of example (d) copies of one photo
29. 29.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
30. 30.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
31. 31.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
32. 32.True or false: “wrong labels” is bad for training a model. (a) False (b) True
33. 33.🏷️ 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
34. 34.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) checking labels twice (d) wrong labels
35. 35.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
36. 36.🏷️ 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
37. 37.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
39. 39.🔍 Which is the odd one out? (a) testing on training data (b) clear, sharp examples (c) copies of one photo (d) very few examples
40. 40.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True

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