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 not AI: a torch? (a) not AI (b) uses AI
- 2.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
- 3.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) many varied examples (d) labels added at random
- 4.🔍 Which is the odd one out? (a) AI can make up facts (b) AI copies data patterns (c) long answers are true (d) AI learns from data
- 5.True or false: “improves with more data” describes how AI works. (a) False (b) True
- 6.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) drawing (d) sleeping
- 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
- 8.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
- 9.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
- 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
- 11.🔍 Which is the odd one out? (a) an AI chatbot (b) a microwave timer (c) video suggestions (d) an app translating signs
- 12.True or false: “recorded spoken words” is the model. (a) False (b) True
- 13.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
- 14.True or false: “labels added at random” is bad for training a model. (a) False (b) True
- 15.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) add more of the same (d) use one group only
- 16.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) ask different people
- 17.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 18.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
- 19.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 20.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
- 21.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
- 22.True or false: “add more of the same” helps reduce bias. (a) False (b) True
- 23.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
- 24.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
- 25.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
- 26.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 27.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
- 28.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
- 29.Which of these is generative AI (it makes something new)? (a) reading number plates (b) predicting rain (c) making up a story (d) suggesting a video
- 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
- 31.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
- 32.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
- 33.True or false: “testing on training data” is bad for training a model. (a) True (b) False
- 34.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
- 36.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 37.True or false: an AI chatbot writing a poem about rain is AI predicting something. (a) False (b) True
- 38.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
- 39.🔍 Which is the odd one out? (a) confident means correct (b) AI always checks facts (c) AI learns from data (d) long answers are true
- 40.True or false: “old emails marked spam” is training data. (a) False (b) True
Answer key
- not AI
- False
- many varied examples
- long answers are true
- True
- predicting
- True
- True
- recommending
- to see if it works
- a microwave timer
- False
- data, model, prediction
- True
- balance the data
- ask different people
- sorts or predicts
- True
- AI
- a basic calculator
- music or sound
- False
- True
- False
- False
- needs AI (learning)
- True
- True
- making up a story
- not spam
- uses AI
- its training data
- True
- sorts or predicts
- the model
- AI
- False
- recorded spoken words
- AI learns from data
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students