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 describes how AI works? (a) never learns from data (b) follows fixed rules (c) learns from examples (d) one set rule per case
- 2.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 3.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
- 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
- 5.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
- 6.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
- 7.Which of these describes how a normal program works? (a) does exactly as coded (b) gives a likely answer (c) learns from examples (d) handles unseen examples
- 8.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
- 9.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) ask different people (d) test on many groups
- 10.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
- 11.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
- 12.Which of these is bad for training a model? (a) new data for testing (b) labels added at random (c) clear, sharp examples (d) examples of every type
- 13.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
- 14.🏷️ 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
- 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 16.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) inventing a recipe (d) turning speech to text
- 17.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 18.True or false: “examples of every type” is good for training a model. (a) True (b) False
- 19.True or false: “never learns from data” describes how AI works. (a) True (b) False
- 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
- 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
- 22.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) blurry, unclear photos (d) checking labels twice
- 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
- 24.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
- 25.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
- 26.Which of these is good for training a model? (a) checking labels twice (b) very few examples (c) labels added at random (d) testing on training data
- 27.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
- 28.True or false: “long answers are true” is a fact about AI. (a) False (b) True
- 29.🔍 Which is the odd one out? (a) sorting photos by face (b) writing a new poem (c) spotting a sick leaf (d) predicting rain
- 30.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
- 31.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) predicting (d) sleeping
- 32.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 33.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
- 34.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
- 35.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
- 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
- 37.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
- 38.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) checking labels twice (d) only one kind of example
- 39.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
- 40.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) many varied examples
Answer key
- learns from examples
- AI
- True
- a prediction
- False
- old emails marked spam
- does exactly as coded
- music or sound
- add more of the same
- text
- True
- labels added at random
- False
- not spam
- balanced data
- turning speech to text
- AI
- True
- False
- a prediction
- the model
- blurry, unclear photos
- spam
- people
- bad for training
- checking labels twice
- True
- False
- writing a new poem
- a real check
- predicting
- needs AI (learning)
- copy old unfair choices
- artificial intelligence
- a fact
- the trained program
- True
- only one kind of example
- it learns patterns
- many varied examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students