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 leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 2.True or false: “check who is missing” helps reduce bias. (a) False (b) True
- 3.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
- 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
- 5.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 6.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) text (c) music or sound
- 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
- 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
- 9.Which of these is the model? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) what training builds
- 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
- 11.True or false: “one set rule per case” describes how AI works. (a) True (b) False
- 12.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 13.🔍 Which is the odd one out? (a) a spam filter (b) a light switch (c) a map predicting traffic (d) a voice assistant
- 14.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
- 15.Which of these is not AI? (a) a calculator (b) a voice assistant (c) photos grouped by face (d) voice typing
- 16.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
- 17.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
- 18.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
- 19.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) check who is missing (d) add varied examples
- 20.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
- 21.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
- 22.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
- 23.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
- 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 25.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
- 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
- 27.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
- 28.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
- 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) drawing a new picture (c) inventing a recipe (d) predicting rain
- 31.True or false: “the learned patterns” is a prediction. (a) True (b) False
- 32.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 33.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 34.True or false: “copies of one photo” is good for training a model. (a) False (b) True
- 35.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
- 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
- 37.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
- 38.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
- 39.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) recommending (d) charging
- 40.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
Answer key
- False
- True
- a real check
- the model
- uses AI
- an image
- more varied data
- the model
- what training builds
- the trained program
- False
- needs AI (learning)
- a light switch
- an image
- a calculator
- to see if it works
- True
- a fact
- use one group only
- True
- a real check
- a fact
- True
- one-sided data
- many labelled photos
- not spam
- bad for training
- a normal program
- balanced data
- predicting rain
- False
- AI
- data, model, prediction
- False
- no, check it anyway
- balanced data
- True
- reduces bias
- recommending
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students