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: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
- 2.True or false: a weather app guessing tomorrow’s rain is AI recommending something. (a) True (b) False
- 3.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 4.🏷️ 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
- 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
- 6.🔍 Which is the odd one out? (a) a spam filter (b) a calculator (c) a fan regulator (d) a doorbell
- 7.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) generating (d) recognising
- 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
- 9.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
- 10.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
- 11.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
- 12.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
- 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
- 14.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
- 15.🔍 Which is the odd one out? (a) a fan regulator (b) photos grouped by face (c) a calculator (d) a printed timetable
- 16.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) pick a lucky number (d) guess
- 17.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
- 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 19.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) one set rule per case (d) spots patterns in data
- 20.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
- 21.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
- 22.True or false: “balance the data” adds to bias. (a) True (b) False
- 23.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
- 24.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
- 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
- 26.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
- 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
- 28.Which of these describes how a normal program works? (a) one set rule per case (b) gives a likely answer (c) makes a best guess (d) spots patterns in data
- 29.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ask different people (d) use one group only
- 30.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) labels added at random (d) copies of one photo
- 31.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
- 32.Which of these describes how a normal program works? (a) follows fixed rules (b) handles unseen examples (c) learns from examples (d) improves with more data
- 33.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
- 34.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
- 35.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
- 36.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
- 37.🔍 Which is the odd one out? (a) predicting rain (b) turning speech to text (c) suggesting a video (d) writing a new poem
- 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
- 39.Which of these is good for training a model? (a) very few examples (b) clear, sharp examples (c) labels added at random (d) testing on training data
- 40.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) AI always checks facts (d) AI answers need checking
Answer key
- True
- False
- needs AI (learning)
- spam
- adds to bias
- a spam filter
- recommending
- True
- not AI
- predicts likely words
- makes new content
- good for training
- False
- True
- photos grouped by face
- look in your textbook
- recorded spoken words
- training data
- spots patterns in data
- no, it follows rules
- needs AI (learning)
- False
- a fact
- no, it can be wrong
- False
- text
- reduces bias
- one set rule per case
- use one group only
- many varied examples
- a normal program
- follows fixed rules
- True
- a simple rule is enough
- False
- a simple rule is enough
- writing a new poem
- spam
- clear, sharp examples
- AI answers need checking
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students