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 is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
- 2.True or false: turning your spoken words into typed text is AI recommending something. (a) True (b) False
- 3.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
- 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
- 5.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
- 7.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) very few examples (d) new data for testing
- 8.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
- 9.True or false: “confident means correct” is a myth about AI. (a) True (b) False
- 10.🔍 Which is the odd one out? (a) a voice assistant (b) a spam filter (c) a light switch (d) voice typing
- 11.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
- 12.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) recommending (c) predicting (d) generating
- 13.Which of these is good for training a model? (a) new data for testing (b) very few examples (c) copies of one photo (d) testing on training data
- 14.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
- 15.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
- 16.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) generating (c) predicting (d) recommending
- 17.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
- 18.True or false: “typing a new spoken word” is the model. (a) True (b) False
- 19.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
- 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
- 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
- 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
- 23.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) copy old unfair choices (d) balance the data
- 24.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 25.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add more of the same (d) skip testing
- 26.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
- 27.🔍 Which is the odd one out? (a) examples of every type (b) copies of one photo (c) testing on training data (d) only one kind of example
- 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
- 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
- 30.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
- 31.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) follows fixed rules (d) one set rule per case
- 32.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) an AI chatbot (d) a calculator
- 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
- 34.🔍 Which is the odd one out? (a) sorting photos by face (b) drafting a letter (c) writing quiz questions (d) inventing a recipe
- 35.🔍 Which is the odd one out? (a) a printed timetable (b) a digital watch (c) a doorbell (d) voice typing
- 36.True or false: “past weather records” is the model. (a) True (b) False
- 37.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the textbook (c) stop studying (d) trust the AI
- 38.🔍 Which is the odd one out? (a) long answers are true (b) AI always checks facts (c) AI can be wrong (d) AI is never wrong
- 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
- 40.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
Answer key
- flagging a new email
- False
- True
- not spam
- a real check
- not spam
- very few examples
- a simple rule is enough
- True
- a light switch
- check it on paper
- generating
- new data for testing
- uses AI
- recorded spoken words
- recognising
- makes something new
- False
- no, it finds patterns
- True
- False
- balanced data
- copy old unfair choices
- False
- check who is missing
- recorded spoken words
- examples of every type
- spam
- the model
- False
- handles unseen examples
- a calculator
- False
- sorting photos by face
- voice typing
- False
- trust the textbook
- AI can be wrong
- better at its task
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students