AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 761 · 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.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
2. 2.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
3. 3.Which of these is a fact about AI? (a) AI always checks facts (b) AI copies data patterns (c) AI knows everything (d) AI has real feelings
4. 4.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) only on weekends (d) yes, it gets sad
5. 5.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
6. 6.🔍 Which is the odd one out? (a) blurry, unclear photos (b) new data for testing (c) copies of one photo (d) labels added at random
7. 7.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
8. 8.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
9. 9.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) composing a new tune (b) creating a cartoon (c) making up a story (d) unlocking with a face
11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
12. 12.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) one set rule per case (d) gives a likely answer
13. 13.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
14. 14.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
17. 17.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
18. 18.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
19. 19.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add varied examples (d) copy old unfair choices
20. 20.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
21. 21.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
23. 23.🗣️ 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) children speak too fast (d) few child voices in data
24. 24.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI can be wrong (d) AI has real feelings
25. 25.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
26. 26.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
27. 27.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
28. 28.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) unlocking with a face (c) drafting a letter (d) composing a new tune
30. 30.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) photos in many lights (d) blurry, unclear photos
31. 31.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) copies one website (d) asks a person
32. 32.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
34. 34.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
35. 35.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
38. 38.True or false: an image generator drawing a robot from a sentence is AI recommending something. (a) True (b) False
39. 39.True or false: “only one kind of example” is good for training a model. (a) False (b) True
40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training

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