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) |
AC9TDI6P01
Define problems with given or co developed design criteria and by creating user stories
AC9TDI6P02
Design algorithms involving multiple alternatives (branching) and iteration
AC9TDI6K03
Explain how digital systems represent all data using numbers |
| Technologies & Programming Languages | 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 |
| Organisation | ESA |
| Copyright | Creative Commons Attribution 4.0, unless otherwise indicated. |
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