AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 294 · 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 soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
3. 3.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
5. 5.🔍 Which is the odd one out? (a) an app translating signs (b) a doorbell (c) a voice assistant (d) photos grouped by face
6. 6.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “same steps every time” describes how AI works. (a) True (b) False
9. 9.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a password (d) a label
10. 10.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
11. 11.Which of these uses AI? (a) a map predicting traffic (b) a digital watch (c) a kitchen weighing scale (d) a printed timetable
12. 12.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
13. 13.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
14. 14.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) flagging a new email (d) the trained program
15. 15.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) unlocking with a face (d) creating a cartoon
16. 16.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI has real feelings (d) AI can mix up numbers
17. 17.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
18. 18.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
19. 19.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
20. 20.True or false: “a drawing of a cat on the Moon” asks for text. (a) True (b) False
21. 21.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
22. 22.True or false: “never learns from data” describes how AI works. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) long answers are true (b) confident means correct (c) AI always checks facts (d) AI can make up facts
24. 24.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
25. 25.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
26. 26.True or false: “the learned patterns” is training data. (a) True (b) False
27. 27.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
28. 28.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) examples of every type (d) many varied examples
29. 29.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
30. 30.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) many varied examples (d) testing on training data
31. 31.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) labels added at random (d) clear, sharp examples
32. 32.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
33. 33.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
34. 34.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) artificial intelligence (d) actual information
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
36. 36.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
37. 37.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
38. 38.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
39. 39.True or false: “a drum beat for a dance” asks for music or sound. (a) True (b) False
40. 40.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)

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