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: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
- 2.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
- 3.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
- 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 5.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
- 6.Which of these uses AI? (a) a voice assistant (b) a calculator (c) a kitchen weighing scale (d) a printed timetable
- 7.Which of these is a myth about AI? (a) AI always checks facts (b) AI copies data patterns (c) AI answers need checking (d) AI can make up facts
- 8.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
- 9.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
- 10.Which of these uses AI? (a) a digital watch (b) an image generator (c) a torch (d) a stopwatch
- 11.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) new data for testing (d) testing on training data
- 12.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) recognising (c) generating (d) recommending
- 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
- 14.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a password (d) a hallucination
- 15.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) recognising (c) generating (d) predicting
- 16.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
- 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
- 18.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
- 19.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) examples of every type (d) testing on training data
- 20.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) examples of every type (d) clear, sharp examples
- 21.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
- 22.True or false: “very few examples” is bad for training a model. (a) True (b) False
- 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
- 24.🔍 Which is the odd one out? (a) a stopwatch (b) a light switch (c) video suggestions (d) a doorbell
- 25.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
- 26.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) predicting (d) recognising
- 27.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
- 28.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
- 29.True or false: “past weather records” is a prediction. (a) False (b) True
- 30.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
- 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
- 32.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
- 33.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 34.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
- 35.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
- 36.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
- 37.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
- 38.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
- 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) copies of one photo (d) many varied examples
- 40.Which of these uses AI? (a) a torch (b) a fan regulator (c) a spam filter (d) a doorbell
Answer key
- False
- True
- True
- training data
- False
- a voice assistant
- AI always checks facts
- a real check
- False
- an image generator
- testing on training data
- generating
- a prediction
- a hallucination
- recognising
- AI
- True
- labelled fruit photos
- examples of every type
- only one kind of example
- no, it follows rules
- True
- True
- video suggestions
- True
- generating
- adds to bias
- recorded spoken words
- False
- True
- bias from data
- False
- reduces bias
- a basic calculator
- music or sound
- better at its task
- recommending
- learn from data
- copies of one photo
- a spam filter
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students