Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 245 · 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 bad for training a model? (a) examples of every type (b) correct labels (c) blurry, unclear photos (d) new data for testing
2. 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
4. 4.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) many varied examples (d) wrong labels
6. 6.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) labels added at random (d) blurry, unclear photos
7. 7.🏷️ 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
8. 8.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
9. 9.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) many varied examples (d) blurry, unclear photos
10. 10.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
11. 11.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
13. 13.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) correct labels (d) labels added at random
14. 14.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
15. 15.🔍 Which is the odd one out? (a) many varied examples (b) very few examples (c) wrong labels (d) copies of one photo
16. 16.True or false: “new data for testing” is good for training a model. (a) True (b) False
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
18. 18.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
19. 19.🏷️ 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
20. 20.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
21. 21.🏷️ 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
22. 22.Which of these is good for training a model? (a) clear, sharp examples (b) copies of one photo (c) only one kind of example (d) labels added at random
23. 23.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) copies of one photo (d) blurry, unclear photos
25. 25.🏷️ 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
26. 26.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) photos in many lights (d) wrong labels
27. 27.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) very few examples (d) new data for testing
28. 28.True or false: “wrong labels” is bad for training a model. (a) True (b) False
29. 29.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
30. 30.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
32. 32.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
33. 33.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
34. 34.True or false: “copies of one photo” is good for training a model. (a) True (b) False
35. 35.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
36. 36.🏷️ 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
37. 37.True or false: “checking labels twice” is good for training a model. (a) True (b) False
38. 38.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
39. 39.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) very few examples (d) checking labels twice
40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False

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