Image classification: a human-computer approach

In this learning sequence we explore the classification of images typically undertaken by an artificial intelligence (AI). One group of students creates images (representing a dataset) while another group of students creates rules (representing a machine learning algorithm) to classify the images, simulating the process of training an AI to classify images based on patterns.

Additional details

Year band(s) 5-6
Content type Lesson ideas
Format Web page
Core and overarching concepts Data representation, Abstraction, Specification (decomposing problems), Algorithms
Australian Curriculum Digital Technologies code(s)

Define problems with given or co developed design criteria and by creating user stories


Design algorithms involving multiple alternatives (branching) and iteration


Explain how digital systems represent all data using numbers

Technologies & Programming Language​s Artificial Intelligence
Keywords Artificial Intelligence, AI, artificial, intelligence, teachable machine, smart phone, algorithms, problem solving, digital systems, lesson idea, lesson plan, machine learning, image classification, assessment
Integrated, cross-curriculum, special needs Digital Literacy



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