AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 65 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
2. 2.Which of these uses AI? (a) face unlock on a phone (b) a fan regulator (c) a digital watch (d) a torch
3. 3.🔍 Which is the odd one out? (a) writing quiz questions (b) drawing a new picture (c) writing a new poem (d) spotting a sick leaf
4. 4.🔍 Which is the odd one out? (a) a doorbell (b) a microwave timer (c) a map predicting traffic (d) a light switch
5. 5.🔍 Which is the odd one out? (a) a voice assistant (b) an image generator (c) video suggestions (d) a light switch
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
8. 8.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
9. 9.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
11. 11.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
12. 12.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) many varied examples (b) very few examples (c) checking labels twice (d) correct labels
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) wrong labels (d) photos in many lights
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
16. 16.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
17. 17.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) same steps every time (d) handles unseen examples
21. 21.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
22. 22.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
23. 23.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
24. 24.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
25. 25.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
27. 27.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.True or false: “check who is missing” helps reduce bias. (a) False (b) True
30. 30.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “photos in many lights” is good for training a model. (a) False (b) True
32. 32.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
33. 33.Which of these is good for training a model? (a) clear, sharp examples (b) very few examples (c) testing on training data (d) only one kind of example
34. 34.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
35. 35.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
36. 36.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
37. 37.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
38. 38.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
40. 40.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students