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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
- 2.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ask different people (d) fix wrong labels
- 3.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
- 4.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
- 5.True or false: “new data for testing” is good for training a model. (a) False (b) True
- 6.True or false: “what training builds” is the model. (a) False (b) True
- 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
- 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 9.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
- 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 11.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) suggesting a video (d) making up a story
- 12.Which of these describes how a normal program works? (a) handles unseen examples (b) follows fixed rules (c) gives a likely answer (d) spots patterns in data
- 13.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
- 14.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
- 15.True or false: “makes a best guess” describes how AI works. (a) False (b) True
- 16.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
- 17.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) follows fixed rules (d) spots patterns in data
- 18.🏷️ 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) not spam (b) spam
- 19.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
- 20.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can mix up numbers (c) long answers are true (d) AI always checks facts
- 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
- 22.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) one set rule per case (d) learns from examples
- 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
- 24.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) one set rule per case (d) follows fixed rules
- 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) composing a new tune (c) reading number plates (d) writing a new poem
- 26.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
- 27.Which of these is a myth about AI? (a) AI always checks facts (b) AI answers need checking (c) AI can make up facts (d) AI can mix up numbers
- 28.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) examples of every type (d) clear, sharp examples
- 29.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
- 30.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
- 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
- 32.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) one set rule per case (d) makes a best guess
- 33.Which of these uses AI? (a) face unlock on a phone (b) a light switch (c) a calculator (d) a torch
- 34.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
- 35.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
- 36.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 37.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
- 38.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
- 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
- 40.True or false: “ask different people” adds to bias. (a) False (b) True
Answer key
- a prediction
- add more of the same
- bad for training
- old emails marked spam
- True
- True
- the model
- False
- False
- spam
- suggesting a video
- follows fixed rules
- recommending
- a fact
- True
- False
- spots patterns in data
- not spam
- uses AI
- AI can mix up numbers
- bias from data
- one set rule per case
- one-sided data
- learns from examples
- reading number plates
- predicting
- AI always checks facts
- labels added at random
- False
- a real check
- it may get it wrong
- makes a best guess
- face unlock on a phone
- True
- trust the textbook
- needs AI (learning)
- True
- AI
- True
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students