Improving the Consistency and Depth of Feedback Across Classes

This account describes its original implementation scope, not the current provider-supplied cumulative total of 7 schools and 17,000 assessment scripts. The figures are not independently audited.

Structured mark scheme prompts raised inter-marker reliability from 71% to 96%, ensuring every student receives consistent, high-quality written feedback across all classes and subjects.

Context

Inconsistent feedback quality across teachers and classes undermines student trust and makes it harder for departments to identify shared misconceptions. Standardising feedback at scale is challenging without automated support.

Approach

Established structured feedback framework aligned to mark scheme criteria
Generated feedback at scale using AI with structured prompts
Teacher moderation and alignment to ensure contextual accuracy
Used feedback patterns to support whole-class and individual instruction

Impact

Inter-marker reliability improved from 71% to 96%
100% of students received question-level written feedback
Student appeals reduced by up to 40% following AI-assisted moderation
Feedback consistency maintained across all classes and teachers

What This Means for Schools

Standardised AI-generated feedback, moderated by teachers, ensures that all students benefit from the same quality of written commentary — regardless of which teacher marked their paper.

Contact: team@easyexaminer.com