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 is the odd one out? (a) ask different people (b) add varied examples (c) test on one group only (d) balance the data
- 2.Which of these describes how a normal program works? (a) handles unseen examples (b) same steps every time (c) spots patterns in data (d) gives a likely answer
- 3.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) wrong labels (d) many varied examples
- 4.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
- 5.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
- 6.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) spots patterns in data (d) follows fixed rules
- 7.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
- 8.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
- 9.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
- 10.Which of these uses AI? (a) a light switch (b) a fan regulator (c) a printed timetable (d) a spam filter
- 11.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) recorded spoken words (d) past weather records
- 12.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
- 13.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
- 14.True or false: “improves with more data” describes how AI works. (a) False (b) True
- 15.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
- 16.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
- 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
- 18.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
- 19.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) copies of one photo (d) many varied examples
- 20.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 21.Which of these is not AI? (a) a spam filter (b) face unlock on a phone (c) an AI chatbot (d) a fan regulator
- 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
- 23.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) True (b) False
- 24.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
- 25.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) typing a new spoken word
- 26.Which of these is a prediction? (a) the trained program (b) past weather records (c) the learned patterns (d) naming a new fruit photo
- 27.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 28.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 29.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
- 30.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
- 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
- 32.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
- 33.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
- 34.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
- 35.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
- 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) sorting photos by face (c) writing quiz questions (d) creating a cartoon
- 37.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 38.True or false: “new data for testing” is good for training a model. (a) False (b) True
- 39.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) many varied examples (d) new data for testing
- 40.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
Answer key
- test on one group only
- same steps every time
- many varied examples
- artificial intelligence
- text
- spots patterns in data
- False
- True
- bad for training
- a spam filter
- naming a new leaf
- False
- it learns patterns
- True
- True
- makes something new
- False
- True
- copies of one photo
- a normal program
- a fan regulator
- True
- False
- False
- old emails marked spam
- naming a new fruit photo
- sorts or predicts
- needs AI (learning)
- a prompt
- no, check it anyway
- a prediction
- a normal program
- predicting
- not AI
- data, model, prediction
- sorting photos by face
- a real check
- True
- labels added at random
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students