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 does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 2.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) past weather records
- 3.True or false: “naming a new leaf” is a prediction. (a) False (b) True
- 4.🔍 Which is the odd one out? (a) a printed timetable (b) a light switch (c) video suggestions (d) a torch
- 5.True or false: “old emails marked spam” is the model. (a) False (b) True
- 6.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
- 7.Which of these describes how a normal program works? (a) follows fixed rules (b) gives a likely answer (c) makes a best guess (d) learns from examples
- 8.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) old emails marked spam (d) the trained program
- 9.True or false: “correct labels” is good for training a model. (a) False (b) True
- 10.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
- 11.True or false: “same steps every time” describes how AI works. (a) True (b) False
- 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
- 13.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
- 14.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) past weather records (d) the learned patterns
- 15.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) testing on training data (d) checking labels twice
- 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
- 17.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
- 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
- 19.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recognising (d) recommending
- 20.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
- 21.Which of these describes how AI works? (a) one set rule per case (b) spots patterns in data (c) does exactly as coded (d) follows fixed rules
- 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
- 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 24.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 25.Which of these is not AI? (a) an AI chatbot (b) a kitchen weighing scale (c) video suggestions (d) photos grouped by face
- 26.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
- 27.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
- 28.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 29.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
- 30.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
- 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
- 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
- 33.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) learns from examples (d) uses rules people wrote
- 34.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
- 35.True or false: “the learned patterns” is training data. (a) True (b) False
- 36.🔍 Which is the odd one out? (a) a doorbell (b) voice typing (c) a map predicting traffic (d) a spam filter
- 37.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) what training builds
- 38.🔍 Which is the odd one out? (a) reading number plates (b) spotting spam (c) sorting photos by face (d) drawing a new picture
- 39.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
- 40.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) composing a new tune (d) writing quiz questions
Answer key
- a simple rule is enough
- naming a new leaf
- True
- video suggestions
- False
- False
- follows fixed rules
- the trained program
- True
- True
- False
- few child voices in data
- learn from data
- naming a new fruit photo
- checking labels twice
- reduces bias
- a myth
- spam
- recognising
- False
- spots patterns in data
- bias from data
- one-sided data
- good for training
- a kitchen weighing scale
- True
- the learned patterns
- AI
- True
- needs AI (learning)
- it may get it wrong
- a real check
- learns from examples
- a basic calculator
- False
- a doorbell
- old emails marked spam
- drawing a new picture
- no
- spotting spam
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students