The Problem
A university department with 15 instructors teaching 2,000+ students spends 10-15 hours weekly on grading. For essay courses, grading is the largest time commitment after lecture prep. Feedback turnaround averages 1-2 weeks — by then students have moved on and feedback is less actionable.
Gradescope (Turnitin) handles varied assignments from exams to coding projects. Curipod supports AI content creation and formative assessment. But these focus on individual assignments, not longitudinal gap analysis across a student's history.
The deeper problem: grading tells you performance on one assessment. It does not identify which concepts a student has not mastered, how understanding progresses, or who needs intervention before the final.
The Solution
The agent grades using rubric-based evaluation per assignment type. Essays: thesis clarity, argument structure, evidence quality, mechanics. Problem sets: solution checking and multi-step error identification. Coding: test suites plus quality, efficiency, and documentation evaluation.
Beyond grading, it builds per-student competency profiles across all assessed learning objectives. Tracks mastery, partial understanding, and gaps. Persistent struggles flagged with targeted resource suggestions.
Instructors get class-level analytics: concepts mastered collectively, topics needing re-teaching, at-risk students. Transforms grading from administrative burden into diagnostic tool.
How It's Built
Productized service. Senior engineer integrates with LMS (Canvas, Blackboard, Moodle). Rubric models per course. Learning objectives mapped to curriculum. Setup: 2-3 weeks.
