Research

This page brings together the evidence, case studies, and resources that underpin Easy Examiner's approach to AI-assisted assessment.

Evidence Snapshot

Teacher Workload Reduction

• Up to 85% reduction in time spent marking per assessment cycle
• Teachers report saving 6–8 hours per week during exam periods
• Moderation workload cut by over 60% through AI-assisted consistency checks

Consistency & Quality of Feedback

• Inter-marker reliability improved from an average of 71% to 96%
• 100% of students receive question-level written feedback
• Student appeals reduced by up to 40% following AI-assisted moderation

Faster Identification of Learning Gaps

• Cross-cohort learning gap reports available within 48 hours of exam submission
• Trust-wide intervention materials prepared within 5 days of a mock sitting
• Average improvement of 19 percentage points on targeted topics in follow-up assessments

Case Studies

• Reducing Marking Time by 80% Across a Maths Department — A secondary school in the North West cut teacher marking hours from 40 to under 8 per batch.
• Improving Feedback Consistency Across an English Literature Department — Inter-marker reliability improved from 71% to 96% within two assessment cycles.
• Accelerating Learning Gap Identification in a Science Faculty — A multi-academy trust identified cross-school learning gaps within 48 hours of mock exams.
• Supporting SEND Students with Personalised, Accessible Feedback — 100% of SEND students received personalised written feedback, up from fewer than 30%.
• Improving Sixth Form Exam Technique Through Rapid Feedback Cycles — 12 rapid feedback cycles completed in a single term; average A-Level grade improved by 0.7 of a grade boundary.

Contact

Email: team@easyexaminer.com