Teacher marking workload is one of the most significant pressures in secondary education. This report examines the scale of the problem and how AI marking for teachers offers a practical path forward.
A single class set of around thirty scripts can require up to fifteen hours of marking time. Across multiple classes and subjects, this workload can quickly scale into dozens of hours within a short period.
When teachers spend many hours marking assessments, feedback may be returned days or weeks after the exam. This delay reduces opportunities for targeted reteaching, correction of misconceptions, and immediate student reflection.
Research consistently identifies feedback as one of the most powerful influences on student learning. Providing this level of feedback at scale remains challenging due to the time required for manual marking.
AI exam marking tools can analyse large volumes of scripts quickly, generate structured feedback aligned to mark schemes, and surface misconceptions across the cohort — while teachers retain control over final assessment decisions through a human-in-the-loop model.
In one implementation, approximately 10,000 exam scripts were processed using AI-assisted marking with teacher moderation. Moderation typically required two to ten minutes per script, returning feedback to students within hours rather than days.
Email: team@easyexaminer.com