Artificial Intelligence Curriculum for Primary and Secondary Schools
AI in Computer Science in Secondary Schools
Supervised Learning
Card 02 – Machine Learning Deck
Supervised Learning
Machines, like humans, can learn from examples. They use a method called supervised learning. Simply put, this means we don't have to give machines exact instructions or algorithms. Instead, we show them examples from which they learn to perform various tasks on their own.
Lesson Overview
Lesson Length
45 minutes
Recommended Age
Children aged 11–15
Tools
Teacher: Projector and presentation device.
Students: Computer, laptop or tablet (but not Android OS) for each student or group, plus images of aliens.
Building Blocks
Supervised learning.
What Are the Students Learning?
Supervised learning (for classification tasks) is a method by which an AI program learns to recognize new data based on a prepared dataset.
Why Are They Learning This?
Goal for the Machine Learning Card Deck: Students will critically evaluate how artificial intelligence systems make decisions.
How Do We Know They Have Learned It?
They train a supervised learning model to recognize images.
Bloom's Taxonomy
Understanding: Students understand how supervised learning works and what kinds of tasks it can solve.
Applying: They use Teachable Machine to annotate and train a model
to recognize images.
Analyzing: They analyze how the model identifies and classifies images, and which attributes are key for decision-making.
Digital Competence
Communication and Collaboration.
Five Big Ideas
3-A-II Nature of Learning (Finding patterns in data).
3-A-III Nature of Learning (Training a model).
3-C-I Datasets (Feature sets).
