Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 150 · 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: only one kind of example? (a) good for training (b) bad for training
2. 2.🐶 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) a song about dogs (d) one single photo
3. 3.Which of these is good for training a model? (a) checking labels twice (b) wrong labels (c) very few examples (d) blurry, unclear photos
4. 4.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
5. 5.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) new data for testing (d) checking labels twice
6. 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
7. 7.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
8. 8.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
9. 9.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) blurry, unclear photos (d) many varied examples
10. 10.🏷️ 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
11. 11.True or false: “checking labels twice” is good for training a model. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) many varied examples (d) checking labels twice
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
14. 14.Which of these is bad for training a model? (a) very few examples (b) checking labels twice (c) clear, sharp examples (d) photos in many lights
15. 15.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
16. 16.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
17. 17.True or false: “copies of one photo” is good for training a model. (a) True (b) False
18. 18.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
19. 19.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
20. 20.Which of these is good for training a model? (a) clear, sharp examples (b) copies of one photo (c) labels added at random (d) very few examples
21. 21.True or false: “very few examples” is good for training a model. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) testing on training data (d) labels added at random
23. 23.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) many varied examples (d) copies of one photo
24. 24.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) testing on training data (d) photos in many lights
25. 25.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) labels added at random (d) copies of one photo
26. 26.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
27. 27.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
29. 29.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) many varied examples (d) copies of one photo
30. 30.True or false: “examples of every type” is bad for training a model. (a) False (b) True
31. 31.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
32. 32.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
33. 33.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) copies of one photo (d) testing on training data
34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
35. 35.🏷️ 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
36. 36.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) new data for testing (d) wrong labels
37. 37.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
38. 38.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
39. 39.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) examples of every type

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