AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 645 · 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.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
2. 2.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) yes, just like us (d) no, it finds patterns
3. 3.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) check who is missing (d) skip testing
5. 5.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
6. 6.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
7. 7.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) never learns from data (d) makes a best guess
8. 8.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) AI answers need checking (d) long answers are true
9. 9.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
11. 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
13. 13.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
15. 15.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
16. 16.🔍 Which is the odd one out? (a) an app translating signs (b) a microwave timer (c) a torch (d) a doorbell
17. 17.Which of these is not AI? (a) photos grouped by face (b) a voice assistant (c) a fan regulator (d) an image generator
18. 18.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) add more of the same (d) ignore complaints
19. 19.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it uses electricity (d) it is always right
20. 20.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
21. 21.🔍 Which is the odd one out? (a) turning speech to text (b) reading number plates (c) spotting a sick leaf (d) drafting a letter
22. 22.Which of these uses AI? (a) a stopwatch (b) a kitchen weighing scale (c) an app translating signs (d) a fan regulator
23. 23.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) predicting (c) recognising (d) recommending
24. 24.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
25. 25.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
26. 26.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
27. 27.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
29. 29.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
30. 30.True or false: “learns from examples” describes how AI works. (a) True (b) False
31. 31.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
32. 32.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) typing a new spoken word (d) labelled fruit photos
33. 33.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
34. 34.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
35. 35.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
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.Which of these is training data? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
38. 38.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
39. 39.🔍 Which is the odd one out? (a) a digital watch (b) an app translating signs (c) a map predicting traffic (d) an AI chatbot
40. 40.Which of these describes how AI works? (a) gives a likely answer (b) same steps every time (c) uses rules people wrote (d) does exactly as coded

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