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) one set rule per case (b) makes a best guess (c) same steps every time (d) uses rules people wrote
- 2.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) spots patterns in data (d) never learns from data
- 3.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
- 4.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
- 5.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
- 6.🔍 Which is the odd one out? (a) suggesting a video (b) spotting spam (c) making up a story (d) unlocking with a face
- 7.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
- 8.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
- 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 10.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
- 11.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 12.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) only on weekends (d) yes, it gets sad
- 13.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
- 14.True or false: “naming a new leaf” is training data. (a) False (b) True
- 15.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI knows everything (d) AI copies data patterns
- 16.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) clear, sharp examples (d) checking labels twice
- 17.Which of these describes how a normal program works? (a) one set rule per case (b) handles unseen examples (c) improves with more data (d) spots patterns in data
- 18.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
- 19.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
- 20.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
- 21.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) cooking (d) printing
- 22.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
- 23.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) follows fixed rules (d) handles unseen examples
- 24.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
- 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
- 26.Which of these uses AI? (a) a spam filter (b) a fan regulator (c) a kitchen weighing scale (d) a doorbell
- 27.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) many varied examples (d) very few examples
- 28.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
- 29.Which of these describes how AI works? (a) learns from examples (b) never learns from data (c) uses rules people wrote (d) follows fixed rules
- 30.True or false: “a summary of chapter 3” asks for text. (a) False (b) True
- 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
- 32.🔍 Which is the odd one out? (a) a light switch (b) video suggestions (c) a fan regulator (d) a doorbell
- 33.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) wrong labels (d) new data for testing
- 34.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
- 35.🔮 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
- 36.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
- 37.🔍 Which is the odd one out? (a) a microwave timer (b) a calculator (c) a doorbell (d) voice typing
- 38.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
- 39.True or false: “never learns from data” describes how AI works. (a) True (b) False
- 40.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
Answer key
- makes a best guess
- spots patterns in data
- uses AI
- sorts or predicts
- False
- making up a story
- True
- bad for training
- reduces bias
- False
- good for training
- no, it finds patterns
- music or sound
- False
- AI copies data patterns
- wrong labels
- one set rule per case
- a basic calculator
- a myth
- people
- recommending
- False
- handles unseen examples
- not a real check
- True
- a spam filter
- very few examples
- a hallucination
- learns from examples
- True
- training data
- video suggestions
- wrong labels
- a real check
- a prediction
- not a real check
- voice typing
- True
- False
- check it on paper
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students