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 is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) predicting rain (d) composing a new tune
- 2.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) ask it to repeat (c) guess (d) look in your textbook
- 3.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
- 4.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
- 5.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
- 6.🔍 Which is the odd one out? (a) labels added at random (b) examples of every type (c) checking labels twice (d) many varied examples
- 7.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
- 8.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) examples of every type (d) many varied examples
- 9.True or false: “photos in many lights” is good for training a model. (a) True (b) False
- 10.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
- 11.🔍 Which is the odd one out? (a) writing quiz questions (b) spotting a sick leaf (c) reading number plates (d) unlocking with a face
- 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
- 13.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
- 14.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
- 15.🔍 Which is the odd one out? (a) composing a new tune (b) drawing a new picture (c) writing quiz questions (d) turning speech to text
- 16.Which of these is training data? (a) what training builds (b) the trained program (c) labelled fruit photos (d) flagging a new email
- 17.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
- 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
- 19.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
- 20.🔍 Which is the odd one out? (a) AI learns from data (b) AI knows everything (c) AI has real feelings (d) confident means correct
- 21.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
- 22.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) examples of every type (d) correct labels
- 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
- 24.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
- 25.Which of these is a myth about AI? (a) AI can be wrong (b) long answers are true (c) AI copies data patterns (d) AI answers need checking
- 26.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
- 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
- 28.Which of these is a myth about AI? (a) AI can be wrong (b) AI always checks facts (c) AI learns from data (d) AI can make up facts
- 29.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
- 30.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) one set rule per case (d) makes a best guess
- 31.🧮 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
- 32.🔍 Which is the odd one out? (a) a fan regulator (b) photos grouped by face (c) a doorbell (d) a digital watch
- 33.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) wrong labels (d) blurry, unclear photos
- 34.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) writing a new poem (d) unlocking with a face
- 35.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
- 36.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) labels added at random (d) examples of every type
- 37.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) True (b) False
- 38.True or false: “use one group only” helps reduce bias. (a) False (b) True
- 39.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
- 40.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) new data for testing (d) very few examples
Answer key
- predicting rain
- look in your textbook
- it learns patterns
- True
- False
- labels added at random
- needs AI (learning)
- copies of one photo
- True
- False
- writing quiz questions
- False
- people
- bad for training
- turning speech to text
- labelled fruit photos
- False
- not spam
- bad for training
- AI learns from data
- AI
- labels added at random
- False
- no, it finds patterns
- long answers are true
- not AI
- 500 labelled leaf photos
- AI always checks facts
- a normal program
- one set rule per case
- no, it follows rules
- photos grouped by face
- new data for testing
- unlocking with a face
- good for training
- examples of every type
- False
- False
- False
- new data for testing
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students