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.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) improves with more data (d) follows fixed rules
- 2.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the learned patterns
- 3.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
- 4.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
- 5.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
- 6.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) only one kind of example (d) correct labels
- 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
- 8.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
- 9.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
- 10.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
- 11.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
- 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
- 14.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) predicting rain (d) composing a new tune
- 15.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
- 16.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
- 17.Which of these is not AI? (a) photos grouped by face (b) a torch (c) a map predicting traffic (d) a spam filter
- 18.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
- 19.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
- 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will be perfect (d) it will turn yellow
- 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
- 22.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
- 23.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
- 24.🔍 Which is the odd one out? (a) a spam filter (b) face unlock on a phone (c) a fan regulator (d) a map predicting traffic
- 25.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
- 26.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the learned patterns (d) past weather records
- 27.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
- 28.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) new data for testing (d) wrong labels
- 29.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
- 30.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) True (b) False
- 31.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
- 32.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
- 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
- 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
- 35.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
- 36.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
- 37.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
- 38.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) a spam filter (d) a light switch
- 39.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) ask it to repeat (c) look in your textbook (d) guess
- 40.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) does exactly as coded (d) spots patterns in data
Answer key
- improves with more data
- the learned patterns
- uses AI
- good for training
- False
- only one kind of example
- it learns patterns
- a basic calculator
- True
- False
- a fact
- spam
- data, model, prediction
- composing a new tune
- True
- True
- a torch
- sorts or predicts
- True
- it may get it wrong
- True
- not a real check
- a prompt
- a fan regulator
- its training data
- past weather records
- a myth
- new data for testing
- many labelled photos
- True
- a fact
- False
- True
- the learned patterns
- past weather records
- a text description
- no, it can be wrong
- a light switch
- look in your textbook
- spots patterns in data
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students