AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 141 · 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 happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
2. 2.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
5. 5.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
6. 6.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
7. 7.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
8. 8.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
10. 10.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) yes, it can think (d) only at night
11. 11.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) test on many groups
12. 12.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) use one group only
13. 13.🏷️ 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
14. 14.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
15. 15.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can make up facts (c) AI can be wrong (d) long answers are true
16. 16.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
17. 17.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) only one kind of example (d) many varied examples
18. 18.🏷️ 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
19. 19.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
20. 20.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
21. 21.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) photos in many lights (d) new data for testing
23. 23.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
24. 24.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) add more of the same
26. 26.Which of these describes how a normal program works? (a) follows fixed rules (b) handles unseen examples (c) makes a best guess (d) gives a likely answer
27. 27.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
28. 28.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
29. 29.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
30. 30.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) drafting a letter (c) making up a story (d) drawing a new picture
32. 32.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) predicting (d) recommending
33. 33.Which of these is a fact about AI? (a) AI can mix up numbers (b) confident means correct (c) AI knows everything (d) long answers are true
34. 34.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) app installer (d) automatic internet
35. 35.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
36. 36.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) the trained program (d) naming a new leaf
37. 37.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
38. 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
39. 39.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) writing quiz questions (c) spotting a sick leaf (d) creating a cartoon

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