AI in School Evaluation: Rethinking Classroom Observations, Data, and Feedback
Workshop | Online
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Organized by:
Beaconhouse School System
About the Event
Artificial intelligence is opening new possibilities for improving school evaluation practices, particularly in classroom observations, data analysis, and feedback systems. This session will explore how AI can be used to enhance efficiency, consistency, and insight generation in education evaluation, while maintaining the central role of professional judgment.
Through practical examples, participants will examine how AI tools can support tasks such as capturing observation notes, identifying patterns in school data, and generating structured feedback. The session will also critically reflect on the limitations of AI in understanding classroom dynamics, context, and human interactions.
By comparing AI-assisted outputs with human evaluation, participants will engage in a discussion on where AI adds value and where it should be used with caution. The session aims to provide a balanced perspective on integrating AI into school evaluation systems while preserving quality, fairness, and contextual understanding.
Through practical examples, participants will examine how AI tools can support tasks such as capturing observation notes, identifying patterns in school data, and generating structured feedback. The session will also critically reflect on the limitations of AI in understanding classroom dynamics, context, and human interactions.
By comparing AI-assisted outputs with human evaluation, participants will engage in a discussion on where AI adds value and where it should be used with caution. The session aims to provide a balanced perspective on integrating AI into school evaluation systems while preserving quality, fairness, and contextual understanding.
Speakers
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