Classification systems are a fundamental type of AI that sorts data into predefined categories based on patterns it has learned. It uses a supervised learning technique where models are trained on labelled datasets. Given new, unseen data, the model predicts which category it belongs to. This approach is widely used, e.g. in spam filtering, medical diagnostics, facial recognition, and self-driving cars.

Understanding how AI Classification models work will help learners to appreciate the power and limitations of AI-driven decision-making. This lesson introduces students to how the models work, their real-world applications, and ethical considerations.

This lesson was developed by the Data Education in Schools team.

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This unit is split into three lessons. They can be delivered all together (~2hrs) or one at a time over multiple sessions, or you may pick-and-choose from the activities. The lessons cover a particular type of AI system—a recommender system—which is used by streaming and social media services to recommend content, online shopping platforms to recommend products, and so on. These lessons will give learners a conceptual overview of how such systems work, as well as make them aware of the ethical implications of using them. There are cross-curricular links to CfE Level 3/4 Literacy, Numeracy, Science, Social Studies, and Technology.

This lesson was developed by the Data Education in Schools team.

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Learners with additional support needs often decode text effectively but struggle with comprehension, particularly when it involves abstract ideas and implicit meanings.

This lesson uses AI as a “thinking partner” to help learners analyse key themes, clarify complex messages, and uncover bias in news imagery.

By externalising their thought processes with AI, learners develop critical and abstract thinking skills, allowing them to navigate media with greater confidence.

This lesson was developed by Kevin McPhee with assistance from Dandan Martindale.

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More lessons designed for ASN learners

• Seeing and Hearing
• Seeing is Not Always Believing

The post Reading Between and Behind the Lines: Using A.I. to understand the hidden messages in images  appeared first on TRAILS.scot.