AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 7 · 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 of these is bad for training a model? (a) testing on training data (b) new data for testing (c) checking labels twice (d) correct labels
2. 2.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
3. 3.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
4. 4.🔍 Which is the odd one out? (a) writing quiz questions (b) making up a story (c) turning speech to text (d) drafting a letter
5. 5.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
8. 8.True or false: “learns from examples” describes how AI works. (a) True (b) False
9. 9.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
10. 10.🏷️ 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
11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing quiz questions (c) drafting a letter (d) sorting photos by face
12. 12.Which of these describes how a normal program works? (a) does exactly as coded (b) handles unseen examples (c) makes a best guess (d) gives a likely answer
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) an image generator (b) a kitchen weighing scale (c) a calculator (d) a torch
15. 15.Which of these describes how AI works? (a) handles unseen examples (b) uses rules people wrote (c) does exactly as coded (d) same steps every time
16. 16.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) yes, just like us (d) no, it finds patterns
17. 17.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) follows fixed rules (d) one set rule per case
18. 18.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ask different people (d) copy old unfair choices
19. 19.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
21. 21.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
22. 22.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
24. 24.True or false: “confident means correct” is a fact about AI. (a) False (b) True
25. 25.True or false: “use one group only” adds to bias. (a) False (b) True
26. 26.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
27. 27.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on many groups (d) ask different people
28. 28.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recommending (c) recognising (d) generating
29. 29.Which of these is a fact about AI? (a) AI answers need checking (b) AI knows everything (c) AI always checks facts (d) long answers are true
30. 30.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) makes a best guess (d) uses rules people wrote
31. 31.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
32. 32.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
37. 37.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
38. 38.True or false: “one set rule per case” describes how AI works. (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
40. 40.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records

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