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) uses rules people wrote (b) does exactly as coded (c) spots patterns in data (d) follows fixed rules
- 2.True or false: a music app suggesting a song you may like is AI recognising something. (a) False (b) True
- 3.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
- 4.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
- 5.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
- 6.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
- 7.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
- 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
- 9.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) testing on training data (d) correct labels
- 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
- 11.🔍 Which is the odd one out? (a) photos grouped by face (b) a calculator (c) a map predicting traffic (d) a spam filter
- 12.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI has real feelings (d) AI answers need checking
- 13.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
- 14.🔍 Which is the odd one out? (a) suggesting a video (b) unlocking with a face (c) predicting rain (d) drawing a new picture
- 15.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 16.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
- 17.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
- 18.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) long answers are true (d) AI learns from data
- 19.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) spotting a sick leaf (d) composing a new tune
- 20.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
- 21.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) past weather records (d) old emails marked spam
- 22.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 23.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
- 24.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
- 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
- 26.True or false: “add varied examples” helps reduce bias. (a) False (b) True
- 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
- 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
- 29.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
- 30.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
- 31.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) an AI chatbot (c) a map predicting traffic (d) a voice assistant
- 32.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
- 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
- 34.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) labels added at random (d) wrong labels
- 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
- 36.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
- 37.Which of these uses AI? (a) a light switch (b) a digital watch (c) an AI chatbot (d) a kitchen weighing scale
- 38.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
- 39.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) many varied examples (d) clear, sharp examples
- 40.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
Answer key
- spots patterns in data
- False
- needs AI (learning)
- not a real check
- True
- True
- True
- many labelled photos
- correct labels
- not spam
- a calculator
- AI answers need checking
- False
- drawing a new picture
- reduces bias
- it may get it wrong
- a normal program
- AI learns from data
- composing a new tune
- True
- the trained program
- AI
- True
- sorts or predicts
- training data
- True
- reduces bias
- False
- True
- True
- a kitchen weighing scale
- makes new content
- to see if it works
- photos in many lights
- False
- no, it finds patterns
- an AI chatbot
- a myth
- blurry, unclear photos
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students