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: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 2.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
- 3.Which of these adds to bias? (a) balance the data (b) use one group only (c) ask different people (d) add varied examples
- 4.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI copies data patterns (d) AI knows everything
- 5.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) test on many groups
- 6.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 7.Which of these is not AI? (a) a torch (b) face unlock on a phone (c) photos grouped by face (d) a voice assistant
- 8.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
- 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
- 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
- 11.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) one set rule per case (d) gives a likely answer
- 12.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 13.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) same steps every time (d) learns from examples
- 14.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI learns from data
- 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) turning speech to text (c) writing a new poem (d) drafting a letter
- 16.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) making up a story (d) unlocking with a face
- 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
- 18.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
- 19.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
- 20.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
- 21.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
- 22.Which of these is generative AI (it makes something new)? (a) making up a story (b) spotting spam (c) spotting a sick leaf (d) predicting rain
- 23.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 24.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
- 25.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
- 26.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
- 27.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) naming a new fruit photo
- 28.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) generating (d) recommending
- 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
- 30.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 31.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 32.True or false: “old emails marked spam” is the model. (a) True (b) False
- 33.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
- 34.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
- 35.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 36.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
- 37.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
- 38.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) labels added at random (d) copies of one photo
- 39.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
- 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
Answer key
- False
- uses AI
- use one group only
- AI knows everything
- test on many groups
- AI
- a torch
- people
- a prediction
- the learned patterns
- gives a likely answer
- needs AI (learning)
- same steps every time
- AI learns from data
- turning speech to text
- unlocking with a face
- False
- True
- False
- False
- False
- making up a story
- a myth
- labelled fruit photos
- False
- AI
- naming a new fruit photo
- recognising
- balanced data
- uses AI
- a normal program
- False
- it learns from examples
- True
- good for training
- an image
- 500 labelled leaf photos
- correct labels
- True
- a hallucination
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students