XAM Grader: AI Assisted Accreditation-ready Exam Grading System

XAM.AE is an AI-assisted grading system designed to reduce the grading workload of instructors and professors. Try it yourself to see how it can: •⁠ ⁠Grade handwritten and digital exams in minutes using AI •⁠ ⁠Automatically generate rubrics from answer keys and map them to Course Learning Outcomes (CLOs) •⁠ ⁠Read student handwriting and evaluate answers against the rubric •⁠ ⁠Provide per-question feedback and suggested scores that instructors can edit •⁠ ⁠Automatically annotate student PDFs with grades and comments •⁠ ⁠Perform 3-pass verified grading to increase accuracy and flag uncertain cases •⁠ ⁠Track CLO attainment for accreditation and program assessment •⁠ ⁠Generate analytics and grade distributions across questions and exams •⁠ ⁠Allow students to submit appeals directly from their grade report •⁠ ⁠Evaluate appeals using AI and suggest score adjustments •⁠ ⁠Deliver graded exams and feedback to students in bulk with one click •⁠ ⁠Produce accreditation-ready reports for outcome-based education frameworks (e.g., ABET)