AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 2.Which of these is not AI? (a) a voice assistant (b) an app translating signs (c) a spam filter (d) a calculator
- 3.Which of these adds to bias? (a) check who is missing (b) balance the data (c) fix wrong labels (d) add more of the same
- 4.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) test on one group only (d) add varied examples
- 5.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
- 6.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
- 7.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
- 8.True or false: “use one group only” helps reduce bias. (a) False (b) True
- 9.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) artificial intelligence (d) actual information
- 10.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
- 11.🔍 Which is the odd one out? (a) spotting spam (b) writing quiz questions (c) creating a cartoon (d) making up a story
- 12.True or false: “write a poem about the monsoon” asks for an image. (a) True (b) False
- 13.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
- 14.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
- 15.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
- 17.Which of these is good for training a model? (a) only one kind of example (b) photos in many lights (c) copies of one photo (d) labels added at random
- 18.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
- 19.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
- 20.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
- 21.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
- 22.Which of these is generative AI (it makes something new)? (a) predicting rain (b) suggesting a video (c) unlocking with a face (d) creating a cartoon
- 23.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI knows everything (c) AI is never wrong (d) long answers are true
- 24.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
- 25.Which of these describes how AI works? (a) does exactly as coded (b) makes a best guess (c) uses rules people wrote (d) never learns from data
- 26.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 27.True or false: an image generator drawing a robot from a sentence is AI recommending something. (a) False (b) True
- 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
- 29.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
- 30.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) balance the data
- 31.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
- 32.Which of these uses AI? (a) photos grouped by face (b) a torch (c) a microwave timer (d) a fan regulator
- 33.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can make up facts (c) AI always checks facts (d) long answers are true
- 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 may get it wrong (d) it will be perfect
- 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
- 36.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 37.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
- 38.True or false: “never learns from data” describes how AI works. (a) False (b) True
- 39.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
- 40.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
Answer key
- a normal program
- a calculator
- add more of the same
- test on one group only
- 500 labelled leaf photos
- True
- bad for training
- False
- artificial intelligence
- False
- spotting spam
- False
- not AI
- a simple rule is enough
- good for training
- data, model, prediction
- photos in many lights
- no
- the learned patterns
- reduces bias
- a normal program
- creating a cartoon
- AI can mix up numbers
- False
- makes a best guess
- uses AI
- False
- False
- text
- copy old unfair choices
- its training data
- photos grouped by face
- AI can make up facts
- it may get it wrong
- more varied data
- sorts or predicts
- it learns patterns
- False
- a myth
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students