XAM Grader – AI-assisted system for accreditation-ready exam grading

Summary: XAM Grader uses AI to grade handwritten and digital exams, map rubrics to course learning outcomes, and generate accreditation-ready reports. It supports outcome-based assessment by tracking CLO attainment and providing detailed analytics.

What it does

It grades exams by reading handwriting, applying rubrics linked to CLOs, and offering editable feedback. The system annotates student PDFs, performs multi-pass grading for accuracy, manages appeals with AI, and delivers bulk feedback.

Who it's for

Instructors and professors seeking to reduce grading workload and support outcome-based accreditation processes.

Why it matters

It streamlines grading while ensuring accurate assessment aligned with accreditation standards and program outcomes.