AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 786 · 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.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
2. 2.🔍 Which is the odd one out? (a) unlocking with a face (b) reading number plates (c) predicting rain (d) writing quiz questions
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
4. 4.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
5. 5.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) correct labels (d) clear, sharp examples
6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
7. 7.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
8. 8.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) skip testing
9. 9.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
10. 10.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) composing a new tune (d) writing quiz questions
12. 12.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) improves with more data (d) never learns from data
13. 13.🏷️ 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
14. 14.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
16. 16.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
17. 17.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
18. 18.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) inventing a recipe (c) sorting photos by face (d) suggesting a video
21. 21.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
22. 22.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) only at night (d) yes, it is smart
23. 23.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.🎨 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
26. 26.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
27. 27.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI has real feelings (d) AI learns from data
28. 28.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
29. 29.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
30. 30.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
31. 31.True or false: “labelled fruit photos” is the model. (a) False (b) True
32. 32.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) new data for testing (d) checking labels twice
34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) predicting rain (c) creating a cartoon (d) composing a new tune
35. 35.Which of these adds to bias? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) test on many groups
36. 36.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) examples of every type (d) only one kind of example
38. 38.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) uses rules people wrote (d) spots patterns in data
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
40. 40.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True

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