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.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
- 2.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
- 3.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
- 4.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) ask different people
- 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
- 6.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
- 7.True or false: “the trained program” is the model. (a) True (b) False
- 8.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
- 9.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI copies data patterns (d) AI can mix up numbers
- 10.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) AI always checks facts (d) AI answers need checking
- 11.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
- 12.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a map predicting traffic (d) a torch
- 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
- 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) making up a story (c) spotting a sick leaf (d) creating a cartoon
- 15.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) very few examples (d) checking labels twice
- 16.Which of these is bad for training a model? (a) copies of one photo (b) examples of every type (c) clear, sharp examples (d) many varied examples
- 17.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) check it on paper (d) never do maths
- 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
- 19.True or false: “new data for testing” is bad for training a model. (a) False (b) True
- 20.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
- 21.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
- 22.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 23.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) recognising (d) predicting
- 24.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
- 25.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
- 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
- 27.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
- 28.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) no, it follows rules (d) yes, it is smart
- 29.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) share it online (d) trust the textbook
- 30.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
- 31.True or false: “add varied examples” helps reduce bias. (a) False (b) True
- 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) skip testing
- 33.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
- 34.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
- 35.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
- 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
- 38.Which of these is generative AI (it makes something new)? (a) spotting spam (b) unlocking with a face (c) inventing a recipe (d) reading number plates
- 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 40.Which of these uses AI? (a) a calculator (b) a torch (c) face unlock on a phone (d) a light switch
Answer key
- False
- artificial intelligence
- a myth
- use one group only
- not spam
- recorded spoken words
- True
- True
- AI has real feelings
- AI answers need checking
- False
- a torch
- it may get it wrong
- spotting a sick leaf
- checking labels twice
- copies of one photo
- check it on paper
- balanced data
- False
- True
- data, model, prediction
- True
- recognising
- makes something new
- True
- True
- True
- no, it follows rules
- trust the textbook
- predicts likely words
- True
- check who is missing
- its training data
- a real check
- uses AI
- good for training
- spam
- inventing a recipe
- False
- face unlock on a phone
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students